[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_320e8cc4-c095-4759-8cb9-5869b868a4be":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:320e8cc4-c095-4759-8cb9-5869b868a4be,\"}":166},{"code":4,"data":5,"meta":20},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":22,"manageAffiliations":47,"indexDatabases":69,"url":110,"thumbnailPath":20,"statistic":111,"gsStatistic":20,"type":165,"analyzePriority":20},"320e8cc4-c095-4759-8cb9-5869b868a4be","2024-04-18T01:39:07.703+00:00","2025-11-21T09:54:50.490+00:00",[],"Current-Cardiovascular-Imaging-Reports",{"issn":12,"eissn":14,"title":16},{"VOID":13},"1941-9074",{"VOID":15},"1941-9066",{"EN":17},"Current Cardiovascular Imaging Reports","PUBLISHER","PENDING",null,0,[23,31,39],{"id":24,"createTime":25,"updateTime":26,"relativeEntities":27,"label":28,"description":30,"parentId":20,"standard":20,"scholarHubFieldId":20},"43fa52e2-3f93-4221-b984-b642751ae825","2023-05-29T10:24:32.319+00:00","2023-11-21T07:50:36.379+00:00",[],{"EN":29},"Histology",{},{"id":32,"createTime":33,"updateTime":34,"relativeEntities":35,"label":36,"description":38,"parentId":20,"standard":20,"scholarHubFieldId":20},"b40e1a88-1d66-4e23-91e8-1a73dd0f6d9f","2023-05-29T10:24:05.167+00:00","2023-11-21T05:23:10.059+00:00",[],{"EN":37},"Applied Microbiology and Biotechnology",{},{"id":40,"createTime":41,"updateTime":42,"relativeEntities":43,"label":44,"description":46,"parentId":20,"standard":20,"scholarHubFieldId":20},"131e254e-0b02-478f-aa3e-0b27d8c7b9d1","2023-05-29T10:24:28.895+00:00","2023-11-21T07:54:54.939+00:00",[],{"EN":45},"Cell Biology",{},[48,60],{"id":49,"createTime":50,"updateTime":51,"relativeEntities":52,"slug":53,"properties":54,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":58,"url":20,"parentIds":59,"statistic":20},"aeebfe70-bb47-4404-91bd-6d44079a5c1d","2023-05-29T10:26:05.762+00:00","2025-11-21T09:55:14.914+00:00",[],"Current-Medicine-Group",{"title":55},{"EN":56},"Current Medicine Group","AFFILIATION",4,[],{"id":61,"createTime":62,"updateTime":63,"relativeEntities":64,"slug":65,"properties":66,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"url":20,"parentIds":68,"statistic":20},"26a19206-5cad-4456-bb2f-49abd254fbc6","2024-04-19T01:59:34.612+00:00","2025-11-21T10:06:47.646+00:00",[],"SPRINGER",{"title":67},{"EN":65},[],[70,91],{"id":71,"indexDatabase":72,"url":84,"indexYears":85,"academicFieldIds":86,"indexDatabaseRanking":90},"680347b3-b7ac-4263-9e84-12ade29f1479",{"id":73,"createTime":74,"updateTime":75,"relativeEntities":76,"label":77,"description":79,"key":81,"publicationTags":82,"standard":20},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":78,"VI":78},"Scopus - Elsevier",{"EN":78,"VI":80},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[83],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F19600157307","2008-2024",[87,88,89],"c65e60d9-cde9-4086-a02b-141362dd4770","5d0ba0cd-b333-4796-a92a-6418d1621f5b","d2139bd1-2fdb-481b-a416-9c30dd0cc173","NONE",{"id":92,"indexDatabase":93,"url":107,"indexYears":20,"academicFieldIds":108,"indexDatabaseRanking":20},"23dc5494-b0a6-48d6-a49a-9feba46f811f",{"id":94,"createTime":95,"updateTime":96,"relativeEntities":97,"label":98,"description":100,"key":103,"publicationTags":104,"standard":20},"88bab0f7-443b-476c-a72a-7fa5222da393","2023-05-22T09:58:31.181+00:00","2025-11-21T10:07:52.271+00:00",[],{"EN":99,"VI":99},"ISI\u002FESCI  - Emerging Sources Citation Index",{"VI":101,"EN":102},"Cơ sở dữ liệu ESCI","ESCI database","esci",[105,106],"ESCI","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=1941-9066",[109],"80b08079-ffdc-4da1-b3fe-7d13758975d8","https:\u002F\u002Flink.springer.com\u002Fjournal\u002F12410",{"impactFactor":21,"impactFactorByYear":112,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":126,"totalCitation":141,"totalCitationByYear":142,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":152,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},0.07,0.14,0.21,0.43,0.36,0.09,0.08,0.27,0.15,0.33,12,2,439,{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},49,46,42,38,45,44,31,25,29,23,21,20,5,11,459,{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},7,86,9,75,110,18,19,1,1.05,{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},1.75,0.63,0.11,2.05,0.24,0.93,1.7,3.55,0.84,0.41,0.86,0.95,"JOURNAL",{"meta":167,"data":169},{"total":168},"439",[170,328,571,651,751,1004,1085,1177,1341,1436],{"id":171,"createTime":172,"updateTime":173,"relativeEntities":174,"slug":175,"properties":176,"entityType":185,"verifyStatus":186,"verifyTime":173,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":188,"fullTextUrl":20,"authors":189,"publicationType":290,"publisherRelationship":291,"citationCount":20,"citationInfo":20,"publishDate":325,"publishYear":326,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"7dc6d7ba-9e57-462c-aa6f-8fd7676d0b4d","2023-12-22T03:07:33.555+00:00","2025-02-08T23:55:43.090+00:00",[],"New-Developments-in-Hybrid-Optical-Coherence-Tomographic-Imaging-Current-Status-and-Potential-Implications-in-Clinical-Practice-and-Research",{"references":177,"abstract":179,"title":181,"doi":183},{"VOID":178},"Constantinides P. Plaque fissures in human coronary thrombosis. J Atheroscler Res. 1966;6:1–17.\nFalk E. Plaque rupture with severe pre-existing stenosis precipitating coronary thrombosis. Characteristics of coronary atherosclerotic plaques underlying fatal occlusive thrombi. Br Heart J. 1983;50:127–34.\nDavies MJ, Thomas AC. Plaque fissuring-the cause of acute myocardial infarction, sudden ischaemic death, and crescendo angina. Br Heart J. 1985;53:363–73.\nNissen SE, Gurley JC, Grines CL, Booth DC, McClure R, et al. Intravascular ultrasound assessment of lumen size and wall morphology in normal subjects and patients with coronary artery disease. Circulation. 1991;84:1087–99.\nCalvert PA, Obaid DR, O’Sullivan M, Shapiro LM, McNab D, et al. Association between IVUS findings and adverse outcomes in patients with coronary artery disease: the VIVA (VH-IVUS in Vulnerable Atherosclerosis) Study. JACC Cardiovasc Imaging. 2011;4:894–901.\nStone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, et al. A prospective natural-history study of coronary atherosclerosis. N Engl J Med. 2011;364:226–35.\nStone PH, Saito S, Takahashi S, Makita Y, Nakamura S, et al. Prediction of progression of coronary artery disease and clinical outcomes using vascular profiling of endothelial shear stress and arterial plaque characteristics: the PREDICTION Study. Circulation. 2012;126:172–81.\nMurray SW, Palmer ND. What is behind the calcium? The relationship between calcium and necrotic core on virtual histology analyses. Eur Heart J. 2009;30:125. author reply -6.\nThim T, Hagensen MK, Wallace-Bradley D, Granada JF, Kaluza GL, et al. Unreliable assessment of necrotic core by virtual histology intravascular ultrasound in porcine coronary artery disease. Circ Cardiovasc Imaging. 2010;3:384–91.\nPrati F, Di Vito L, Biondi-Zoccai G, Occhipinti M, La Manna A, et al. Angiography alone versus angiography plus optical coherence tomography to guide decision-making during percutaneous coronary intervention: the Centro per la Lotta contro l'Infarto-Optimisation of Percutaneous Coronary Intervention (CLI-OPCI) study. EuroIntervention. 2012;8:823–9.\nUemura S, Ishigami K, Soeda T, Okayama S, Sung JH, et al. Thin-cap fibroatheroma and microchannel findings in optical coherence tomography correlate with subsequent progression of coronary atheromatous plaques. Eur Heart J. 2012;33:78–85.\nKato K, Yonetsu T, Kim SJ, Xing L, Lee H, et al. Nonculprit plaques in patients with acute coronary syndromes have more vulnerable features compared with those with non-acute coronary syndromes: a 3-vessel optical coherence tomography study. Circ Cardiovasc Imaging. 2012;5:433–40.\nBrezinski ME, Tearney GJ, Bouma BE, Izatt JA, Hee MR, et al. Optical coherence tomography for optical biopsy. Properties and demonstration of vascular pathology. Circulation. 1996;93:1206–13.\nPrati F, Guagliumi G, Mintz GS, Costa M, Regar E, et al. Expert review document part 2: methodology, terminology and clinical applications of optical coherence tomography for the assessment of interventional procedures. Eur Heart J. 2012;33:2513–20.\nTearney GJ, Regar E, Akasaka T, Adriaenssens T, Barlis P, et al. Consensus standards for acquisition, measurement, and reporting of intravascular optical coherence tomography studies: a report from the International Working Group for Intravascular Optical Coherence Tomography Standardization and Validation. J Am Coll Cardiol. 2012;59:1058–72.\nSuter MJ, Nadkarni SK, Weisz G, Tanaka A, Jaffer FA, et al. Intravascular optical imaging technology for investigating the coronary artery. JACC Cardiovasc Imaging. 2011;4:1022–39.\nTearney GJ, Waxman S, Shishkov M, Vakoc BJ, Suter MJ, et al. Three-dimensional coronary artery microscopy by intracoronary optical frequency domain imaging. JACC Cardiovasc Imaging. 2008;1:752–61.\nSchuurbiers JC, von Birgelen C, Wentzel JJ, Bom N, Serruys PW, et al. On the IVUS plaque volume error in coronary arteries when neglecting curvature. Ultrasound Med Biol. 2000;26:1403–11.\nSawada T, Shite J, Garcia-Garcia HM, Shinke T, Watanabe S, et al. Feasibility of combined use of intravascular ultrasound radiofrequency data analysis and optical coherence tomography for detecting thin-cap fibroatheroma. Eur Heart J. 2008;29:1136–46.\nGoderie TP, van Soest G, Garcia-Garcia HM, Gonzalo N, Koljenovic S, et al. Combined optical coherence tomography and intravascular ultrasound radio frequency data analysis for plaque characterization. Classification accuracy of human coronary plaques in vitro. Int J Cardiovasc Imaging. 2010;26:843–50.\nGonzalo N, Garcia-Garcia HM, Regar E, Barlis P, Wentzel J, et al. In vivo assessment of high-risk coronary plaques at bifurcations with combined intravascular ultrasound and optical coherence tomography. JACC Cardiovasc Imaging. 2009;2:473–82.\nDiletti R, Garcia-Garcia HM, Gomez-Lara J, Brugaletta S, Wykrzykowska JJ, et al. Assessment of coronary atherosclerosis progression and regression at bifurcations using combined IVUS and OCT. JACC Cardiovasc Imaging. 2011;4:774–80.\nKubo T, Maehara A, Mintz GS, Doi H, Tsujita K, et al. The dynamic nature of coronary artery lesion morphology assessed by serial virtual histology intravascular ultrasound tissue characterization. J Am Coll Cardiol. 2010;55:1590–7.\nRaber L. Biolimus-eluting stents with biodegredable polymer versus bare metal stents in acute myocardila infarction: two year clinical follow-up and results of serial multimodality imaging (OCT\u002FIVUS). EuroPCR, Paris, France, May,. 2013.\nYin J, Yang HC, Li X, Zhang J, Zhou Q, et al. Integrated intravascular optical coherence tomography ultrasound imaging system. J Biomed Opt. 2010;15:010512.\nYang HC, Yin J, Hu C, Cannata J, Zhou Q, et al. A dual-modality probe utilizing intravascular ultrasound and optical coherence tomography for intravascular imaging applications. IEEE Trans Ultrason Ferroelectr Freq Control. 2010;57:2839–43.\nLi X, Yin J, Hu C, Zhou Q, Shung KK, et al. High-resolution coregistered intravascular imaging with integrated ultrasound and optical coherence tomography probe. Appl Phys Lett. 2010;97:133702.\nYin J, Li X, Jing J, Li J, Mukai D, Mahon S, et al. Novel combined miniature optical coherence tomography ultrasound probe for in vivo intravascular imaging. J Biomed Opt. 2011;16:060505.\n•• Li BH, Leung AS, Soong A, Munding CE, Lee H, et al. Hybrid intravascular ultrasound and optical coherence tomography catheter for imaging of coronary atherosclerosis. Catheter Cardiovasc Interv. 2013;81:494–507. This study presented an updated hybrid OCT-IVUS catheter which appears to overcome limitations of previous designs.\nJaffer FA, Calfon MA, Rosenthal A, Mallas G, Razansky RN, et al. Two-dimensional intravascular near-infrared fluorescence molecular imaging of inflammation in atherosclerosis and stent-induced vascular injury. J Am Coll Cardiol. 2011;57:2516–26.\nJaffer FA, Kim DE, Quinti L, Tung CH, Aikawa E, et al. Optical visualization of cathepsin K activity in atherosclerosis with a novel, protease-activatable fluorescence sensor. Circulation. 2007;115:2292–8.\nDeguchi JO, Aikawa M, Tung CH, Aikawa E, Kim DE, et al. Inflammation in atherosclerosis: visualizing matrix metalloproteinase action in macrophages in vivo. Circulation. 2006;114:55–62.\nRyu SY, Choi HY, Na J, Choi ES, Lee BH. Combined system of optical coherence tomography and fluorescence spectroscopy based on double-cladding fiber. Opt Lett. 2008;33:2347–9.\n•• Yoo H, Kim JW, Shishkov M, Namati E, Morse T, et al. Intra-arterial catheter for simultaneous microstructural and molecular imaging in vivo. Nat Med. 2011;17:1680–4. This study presented the OCT\u002FNIRF catheter and its ex vivo evaluation highlighting its value in research arena.\nTu S, Holm NR, Koning G, Huang Z, Reiber JH. Fusion of 3D QCA and IVUS\u002FOCT. Int J Cardiovasc Imaging. 2011;27:197–207.\nTu S, Pyxaras SA, Li Y, Barbato E, Reiber JH, et al. In vivo flow simulation at coronary bifurcation reconstructed by fusion of 3-dimensional X-ray angiography and optical coherence tomography. Circ Cardiovasc Interv. 2013;6:e15–7.\nBourantas CV, Papafaklis MI, Naka KK, Tsakanikas VD, Lysitsas DN, et al. Fusion of optical coherence tomography and coronary angiography - in vivo assessment of shear stress in plaque rupture. Int J Cardiol. 2012;155:e24–6.\nBourantas CV, Kalatzis FG, Papafaklis MI, Fotiadis DI, Tweddel AC, et al. ANGIOCARE: an automated system for fast three-dimensional coronary reconstruction by integrating angiographic and intracoronary ultrasound data. Catheter Cardiovasc Interv. 2008;72:166–75.\nFukumoto Y, Hiro T, Fujii T, Hashimoto G, Fujimura T, et al. Localized elevation of shear stress is related to coronary plaque rupture: a 3-dimensional intravascular ultrasound study with in-vivo color mapping of shear stress distribution. J Am Coll Cardiol. 2008;51:645–50.\nAthanasiou LS, Bourantas CV, Siogkas PK, Sakellarios AI, Exarchos TP, et al. 3D reconstruction of coronary arteries using frequency domain optical coherence tomography images and biplane angiography. Conf Proc IEEE Eng Med Biol Soc. 2012;2012:2647–50.\nBourantas CV, Papafaklis MI, Athanasiou L, Kalatzis FG, Naka KK, et al. A new methodology for accurate 3-dimensional coronary artery reconstruction using routine intravascular ultrasound and angiographic data: implications for widespread assessment of endothelial shear stress in humans. EuroIntervention. 2013.\nPapafaklis MI, Bourantas CV, Yonetsu T, Kato K, Kotsia A, et al. Geometrically accurate three-dimensional coronary artery reconstruction using frequency-domain optical coherence tomography and angiographic data: new opportunities for in vivo endothelial shear stress assessment. JACC Cardiovasc Interv. 2013;6:S34.\nBourantas CV, Papafaklis MI, Garcia-Garcia HM, Farooq V, Diletti R, et al. Short- and long-term implications of a bioresorbable vascular scaffold implantation on the local endothelial shear stress patterns JACC Cardiovasc Interv. 2013 in press.\n•• Bourantas CV, Papafaklis MI, Kotsia A, Farooq V, Diletti R, et al. Implications of the endothelial shear stress patterns on neointimal proliferation following drug-eluting bioresorbable vascular scaffolds Implantation: an optical coherence tomography study. JACC Cardiovasc Interv. 2013 in press. The first study that implemented OCT to reconstruct coronary anatomy and evaluate the effect of local hemodynamic patterns on neointimal proliferation.\nPapafaklis MI, Bourantas CV, Farooq V, Diletti R, Muramatsu T, et al. In vivo assessment of the three-dimensional haemodynamic micro-environment following drug-eluting bioresorbable vascular scaffold implantation in a human coronary artery: fusion of frequency domain optical coherence tomography and angiography. EuroIntervention. 2013.\nCheng C, van Haperen R, de Waard M, van Damme LC, Tempel D, et al. Shear stress affects the intracellular distribution of eNOS: direct demonstration by a novel in vivo technique. Blood. 2005;106:3691–8.\nStone PH, Coskun AU, Kinlay S, Clark ME, Sonka M, et al. Effect of endothelial shear stress on the progression of coronary artery disease, vascular remodeling, and in-stent restenosis in humans: in vivo 6-month follow-up study. Circulation. 2003;108:438–44.\nOhura N, Yamamoto K, Ichioka S, Sokabe T, Nakatsuka H, et al. Global analysis of shear stress-responsive genes in vascular endothelial cells. J Atheroscler Thromb. 2003;10:304–13.\nKubo T, Imanishi T, Takarada S, Kuroi A, Ueno S, et al. Assessment of culprit lesion morphology in acute myocardial infarction: ability of optical coherence tomography compared with intravascular ultrasound and coronary angioscopy. J Am Coll Cardiol. 2007;50:933–9.",{"EN":180},"Optical coherence tomography (OCT) is a relatively new imaging technique that was introduced to overcome limitations of previous imaging modalities. OCT provides high resolution cross-sectional images of the coronaries which permit detailed evaluation of the luminal morphology and assessment of coronary artery pathology. These unique qualities render OCT a useful tool in clinical practice and research arena. However, apart from its significant advantages OCT imaging has also considerable limitations. To overcome the pitfalls of OCT, fusion of this modality with other imaging techniques has been proposed. Today several hybrid catheter and sophisticated data fusion methodologies have been developed for this purpose, which appear to provide a complete and comprehensive assessment of plaque characteristics and vessel pathophysiology. The aim of this review article is to describe the available OCT based hybrid imaging modalities, present the advantages and limitations of these approaches and discuss their potential value in clinical practice and research arena.",{"EN":182},"New Developments in Hybrid Optical Coherence Tomographic Imaging: Current Status and Potential Implications in Clinical Practice and Research",{"VOID":184},"10.1007\u002Fs12410-013-9218-0","PUBLICATION","VERIFIED","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-013-9218-0",[190,206,223,240,253,266,278],{"id":191,"sortIndex":139,"researcher":20,"roles":192,"affiliations":194,"properties":203},"f6a99adc-b802-437e-835a-4b9ae83c4167",[193],"AUTHOR",[195],{"id":20,"sortIndex":21,"affiliation":196,"properties":20},{"id":197,"createTime":198,"updateTime":198,"relativeEntities":199,"slug":20,"properties":200,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"6fb3c424-63e9-42a6-83ae-1e33a8099c48","2023-12-22T03:07:33.781+00:00",[],{"title":201},{"VI":202},"Department of Cardiology, Medical School, University of Ioannina, Ioannina, Greece",{"title":204},{"VI":205},"Lampros K. Michalis",{"id":207,"sortIndex":124,"researcher":20,"roles":208,"affiliations":209,"properties":220},"20971cf4-89be-4458-bdb7-705e739ccd5b",[193],[210],{"id":20,"sortIndex":21,"affiliation":211,"properties":20},{"id":212,"createTime":213,"updateTime":214,"relativeEntities":215,"slug":216,"properties":217,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"0a4513b8-4c7c-4c4e-b80c-aa74a8278548","2024-02-17T00:22:56.150+00:00","2025-06-11T23:11:05.907+00:00",[],"Unit-of-Medical-Technology-and-Intelligent-Information-Systems-Department-of-Materials-Science-and-Engineering-University-of-Ioannina-Ioannina-Greece",{"title":218},{"VI":219},"Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece",{"title":221},{"VI":222},"Antonis I. Sakellarios",{"id":224,"sortIndex":150,"researcher":20,"roles":225,"affiliations":226,"properties":237},"abbb2362-5cb4-4760-bedc-80a27e454d15",[193],[227],{"id":20,"sortIndex":21,"affiliation":228,"properties":20},{"id":229,"createTime":230,"updateTime":231,"relativeEntities":232,"slug":233,"properties":234,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"49bad8b5-a323-44da-a530-a20057e5670c","2024-02-11T14:23:49.035+00:00","2024-12-28T01:44:44.896+00:00",[],"Thoraxcenter-Erasmus-Medical-Center-Rotterdam-the-Netherlands",{"title":235},{"VI":236},"Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands",{"title":238},{"VI":239},"Christos V. Bourantas",{"id":241,"sortIndex":242,"researcher":20,"roles":243,"affiliations":244,"properties":250},"952c77f6-9dac-4883-9066-47fa041eb8b3",3,[193],[245],{"id":20,"sortIndex":21,"affiliation":246,"properties":20},{"id":197,"createTime":198,"updateTime":198,"relativeEntities":247,"slug":20,"properties":248,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":249},{"VI":202},{"title":251},{"VI":252},"Aidonis Ramos",{"id":254,"sortIndex":255,"researcher":20,"roles":256,"affiliations":257,"properties":263},"1e4f5dc7-eeed-4721-ace1-294f58aea2a6",6,[193],[258],{"id":20,"sortIndex":21,"affiliation":259,"properties":20},{"id":229,"createTime":230,"updateTime":231,"relativeEntities":260,"slug":233,"properties":261,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":262},{"VI":236},{"title":264},{"VI":265},"Patrick W. Serruys",{"id":267,"sortIndex":58,"researcher":20,"roles":268,"affiliations":269,"properties":275},"930429cc-7da2-445a-b265-77f9c0111026",[193],[270],{"id":20,"sortIndex":21,"affiliation":271,"properties":20},{"id":197,"createTime":198,"updateTime":198,"relativeEntities":272,"slug":20,"properties":273,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":274},{"VI":202},{"title":276},{"VI":277},"Katerina K. Naka",{"id":279,"sortIndex":21,"researcher":20,"roles":280,"affiliations":281,"properties":287},"3e7e4f94-b651-4c24-a2de-bfc7f8ba6fe1",[193],[282],{"id":20,"sortIndex":21,"affiliation":283,"properties":20},{"id":197,"createTime":198,"updateTime":198,"relativeEntities":284,"slug":20,"properties":285,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":286},{"VI":202},{"title":288},{"VI":289},"Dimitrios Nikas","ARTICLE",{"url":188,"publisher":292,"properties":320},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":293,"slug":10,"properties":294,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":298,"manageAffiliations":299,"indexDatabases":300,"url":110,"thumbnailPath":20,"statistic":315,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":295,"eissn":296,"title":297},{"VOID":13},{"VOID":15},{"EN":17},[],[],[301,308],{"id":71,"indexDatabase":302,"url":84,"indexYears":85,"academicFieldIds":307,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":303,"label":304,"description":305,"key":81,"publicationTags":306,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":309,"url":107,"indexYears":20,"academicFieldIds":314,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":310,"label":311,"description":312,"key":103,"publicationTags":313,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":316,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":317,"totalCitation":141,"totalCitationByYear":318,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":319,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":321,"pages":323},{"VOID":322},"6",{"VOID":324},"411-420","2013-08-06",2013,false,{"id":329,"createTime":330,"updateTime":331,"relativeEntities":332,"slug":333,"properties":334,"entityType":185,"verifyStatus":186,"verifyTime":331,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":242,"primaryUrl":343,"fullTextUrl":20,"authors":344,"publicationType":290,"publisherRelationship":537,"citationCount":20,"citationInfo":20,"publishDate":570,"publishYear":326,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"21c52687-adb9-4e6f-8c82-86ca80eec821","2023-11-30T15:54:48.510+00:00","2024-12-20T23:55:28.806+00:00",[],"Advances-in-Molecular-Imaging-Cardiac-Regeneration",{"references":335,"abstract":337,"title":339,"doi":341},{"VOID":336},"Isner JM. Myocardial gene therapy. Nature. 2002;415(6868):234–9. doi:10.1038\u002F415234a.\nGersh BJ, Simari RD. Cardiac cell-repair therapy: clinical issues. Nat Clin Pract Card. 2006;3 Suppl 1:S105–9. doi:10.1038\u002Fncpcardio0400.\nSmits AM, van Vliet P, Metz CH, Korfage T, Sluijter JP, Doevendans PA, et al. Human cardiomyocyte progenitor cells differentiate into functional mature cardiomyocytes: an in vitro model for studying human cardiac physiology and pathophysiology. Nat Protoc. 2009;4(2):232–43. doi:10.1038\u002Fnprot.2008.229.\nLipinski MJ, Biondi-Zoccai GG, Abbate A, Khianey R, Sheiban I, Bartunek J, et al. Impact of intracoronary cell therapy on left ventricular function in the setting of acute myocardial infarction: a collaborative systematic review and meta-analysis of controlled clinical trials. J Am Coll Cardiol. 2007;50(18):1761–7. doi:10.1016\u002Fj.jacc.2007.07.041.\nvan Slochteren FJ, Teske AJ, van der Spoel TI, Koudstaal S, Doevendans PA, Sluijter JP, et al. Advanced measurement techniques of regional myocardial function to assess the effects of cardiac regenerative therapy in different models of ischaemic cardiomyopathy. Eur heart J Cardiovasc Imaging. 2012;13(10):808–18. doi:10.1093\u002Fehjci\u002Fjes119.\nThomas JD, Zoghbi WA, Beller GA, Bonow RO, Budoff MJ, Cerqueira MD, et al. ACCF 2008 Training Statement on Multimodality Noninvasive Cardiovascular Imaging A Report of the American College of Cardiology Foundation\u002FAmerican Heart Association\u002FAmerican College of Physicians Task Force on Clinical Competence and Training Developed in Collaboration With the American Society of Echocardiography, the American Society of Nuclear Cardiology, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society for Vascular Medicine. J Am Coll Cardiol. 2009;53(1):125–46. doi:10.1016\u002Fj.jacc.2008.10.004.\nHesse B, Lindhardt TB, Acampa W, Anagnostopoulos C, Ballinger J, Bax JJ, et al. EANM\u002FESC guidelines for radionuclide imaging of cardiac function. Eur J Nucl Med Mol I. 2008;35(4):851–85. doi:10.1007\u002Fs00259-007-0694-9.\nFlotats A, Knuuti J, Gutberlet M, Marcassa C, Bengel FM, Kaufmann PA, et al. Hybrid cardiac imaging: SPECT\u002FCT and PET\u002FCT. A joint position statement by the European Association of Nuclear Medicine (EANM), the European Society of Cardiac Radiology (ESCR) and the European Council of Nuclear Cardiology (ECNC). Eur J Nucl Med Mol I. 2011;38(1):201–12. doi:10.1007\u002Fs00259-010-1586-y.\nGambhir SS, Barrio JR, Herschman HR, Phelps ME. Imaging gene expression: principles and assays. J Nucl Cardiol : official publication of the American Society of Nuclear Cardiology. 1999;6(2):219–33.\nInubushi M, Wu JC, Gambhir SS, Sundaresan G, Satyamurthy N, Namavari M, et al. Positron-emission tomography reporter gene expression imaging in rat myocardium. Circulation. 2003;107(2):326–32.\nLyon AR, Sato M, Hajjar RJ, Samulski RJ, Harding SE. Gene therapy: targeting the myocardium. Heart. 2008;94(1):89–99. doi:10.1136\u002Fhrt.2007.116483.\nMiyagawa M, Anton M, Wagner B, Haubner R, Souvatzoglou M, Gansbacher B, et al. Non-invasive imaging of cardiac transgene expression with PET: comparison of the human sodium\u002Fiodide symporter gene and HSV1-tk as the reporter gene. Eur J Nucl Med Mol I. 2005;32(9):1108–14. doi:10.1007\u002Fs00259-005-1854-4.\nGyongyosi M, Khorsand A, Zamini S, Sperker W, Strehblow C, Kastrup J, et al. NOGA-guided analysis of regional myocardial perfusion abnormalities treated with intramyocardial injections of plasmid encoding vascular endothelial growth factor A-165 in patients with chronic myocardial ischemia: subanalysis of the EUROINJECT-ONE multicenter double-blind randomized study. Circulation. 2005;112(9 Suppl):I157–65. doi:10.1161\u002F01.CIRCULATIONAHA.105.525782.\nSimons M, Annex BH, Laham RJ, Kleiman N, Henry T, Dauerman H, et al. Pharmacological treatment of coronary artery disease with recombinant fibroblast growth factor-2: double-blind, randomized, controlled clinical trial. Circulation. 2002;105(7):788–93.\nBonaros N, Rauf R, Schachner T, Laufer G, Kocher A. Enhanced cell therapy for ischemic heart disease. Transplantation. 2008;86(9):1151–60. doi:10.1097\u002FTP.0b013e3181880f9e.\nZhang SJ, Wu JC. Comparison of imaging techniques for tracking cardiac stem cell therapy. J Nucl Med : official publication, Society of Nuclear Medicine. 2007;48(12):1916–9. doi:10.2967\u002Fjnumed.107.043299.\nAicher A, Brenner W, Zuhayra M, Badorff C, Massoudi S, Assmus B, et al. Assessment of the tissue distribution of transplanted human endothelial progenitor cells by radioactive labeling. Circulation. 2003;107(16):2134–9. doi:10.1161\u002F01.CIR.0000062649.63838.C9.\nTerrovitis J, Lautamaki R, Bonios M, Fox J, Engles JM, Yu J, et al. Noninvasive quantification and optimization of acute cell retention by in vivo positron emission tomography after intramyocardial cardiac-derived stem cell delivery. J Am Coll Cardiol. 2009;54(17):1619–26. doi:10.1016\u002Fj.jacc.2009.04.097.\nTerrovitis J, Kwok KF, Lautamaki R, Engles JM, Barth AS, Kizana E, et al. Ectopic expression of the sodium-iodide symporter enables imaging of transplanted cardiac stem cells in vivo by single-photon emission computed tomography or positron emission tomography. J Am Coll Cardiol. 2008;52(20):1652–60. doi:10.1016\u002Fj.jacc.2008.06.051.\nGyongyosi M, Blanco J, Marian T, Tron L, Petnehazy O, Petrasi Z, et al. Serial noninvasive in vivo positron emission tomographic tracking of percutaneously intramyocardially injected autologous porcine mesenchymal stem cells modified for transgene reporter gene expression. Circ Cardiovasc Imaging. 2008;1(2):94–103. doi:10.1161\u002FCIRCIMAGING.108.797449.\nStrauer BE, Brehm M, Zeus T, Kostering M, Hernandez A, Sorg RV, et al. Repair of infarcted myocardium by autologous intracoronary mononuclear bone marrow cell transplantation in humans. Circulation. 2002;106(15):1913–8.\nDobert N, Britten M, Assmus B, Berner U, Menzel C, Lehmann R, et al. Transplantation of progenitor cells after reperfused acute myocardial infarction: evaluation of perfusion and myocardial viability with FDG-PET and thallium SPECT. Eur J Nucl Med Mol I. 2004;31(8):1146–51. doi:10.1007\u002Fs00259-004-1490-4.\nAssmus B, Schachinger V, Teupe C, Britten M, Lehmann R, Dobert N, et al. Transplantation of progenitor cells and regeneration enhancement in acute myocardial infarction (TOPCARE-AMI). Circulation. 2002;106(24):3009–17.\nKaminek M, Meluzin J, Panovsky R, Janousek S, Mayer J, Prasek J, et al. Individual differences in the effectiveness of intracoronary bone marrow cell transplantation assessed by gated sestamibi SPECT\u002FFDG PET imaging. J Nucl Cardiol : official publication of the American Society of Nuclear Cardiology. 2008;15(3):392–9. doi:10.1016\u002Fj.nuclcard.2008.02.016.\nGaemperli O, Bengel FM. Kaufmann PA Cardiac hybrid imaging. Eur Heart J. 2011;32(17):2100–8. doi:10.1093\u002Feurheartj\u002Fehr057.\nNekolla SG, Martinez-Moeller A, Saraste A. PET and MRI in cardiac imaging: from validation studies to integrated applications. Eur J Nucl Med Mol I. 2009;36 Suppl 1:S121–30. doi:10.1007\u002Fs00259-008-0980-1.",{"EN":338},"In addition to the standard cardiovascular pharmacological treatment and catheter-based and surgical procedures, cardiac restorative therapy was recently introduced. Despite the encouraging results obtained in pre-clinical research, cardiac regenerative therapy is still not used in clinical practice, because of the modest effect on cardiac function. To improve cardiac regenerative strategies, the identification of non-invasive powerful tools is required. Due to availability of various radiotracers and acquisition protocols nuclear imaging is the most promising and can be used both in gene and in cell therapy. This review summarizes current status and future role of nuclear imaging in the area of myocardial regeneration.",{"EN":340},"Advances in Molecular Imaging: Cardiac Regeneration",{"VOID":342},"10.1007\u002Fs12410-013-9215-3","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12410-013-9215-3",[345,370,382,404,429,451,464,476,488,500,512,524],{"id":346,"sortIndex":140,"researcher":20,"roles":347,"affiliations":348,"properties":367},"1f51a41f-3b46-4dc5-943c-58be4948e0b4",[193],[349,359],{"id":350,"sortIndex":150,"affiliation":351,"properties":358},"96cdb637-273a-4ff1-b629-a2cbf860704f",{"id":352,"createTime":353,"updateTime":353,"relativeEntities":354,"slug":20,"properties":355,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"c0010067-f822-4cf6-807c-2c688c04758d","2024-01-25T20:01:20.690+00:00",[],{"title":356},{"VI":357},"Division of Cardiology, Department of Clinical Medicine, Cardiovascular and Immunological Sciences, Federico II University, Naples, Italy",{},{"id":20,"sortIndex":21,"affiliation":360,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":363,"slug":20,"properties":364,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"96e85c1f-18bc-4c55-8ca0-9ee0b0575e4f","2023-12-05T23:50:56.934+00:00",[],{"title":365},{"VI":366},"Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy",{"title":368},{"VI":369},"Pasquale Perrone Filardi",{"id":371,"sortIndex":58,"researcher":20,"roles":372,"affiliations":373,"properties":379},"36b9f70b-f2f1-4e65-bd0d-3e415b4c8326",[193],[374],{"id":20,"sortIndex":21,"affiliation":375,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":376,"slug":20,"properties":377,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":378},{"VI":366},{"title":380},{"VI":381},"Pietro Riello",{"id":383,"sortIndex":21,"researcher":20,"roles":384,"affiliations":385,"properties":401},"6ea64462-f0a1-4bf2-b337-44c7ea7d3631",[193],[386,393],{"id":387,"sortIndex":150,"affiliation":388,"properties":392},"2314096e-4cbb-4bc2-9cf8-de78d559da2b",{"id":361,"createTime":362,"updateTime":362,"relativeEntities":389,"slug":20,"properties":390,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":391},{"VI":366},{},{"id":20,"sortIndex":21,"affiliation":394,"properties":20},{"id":395,"createTime":396,"updateTime":396,"relativeEntities":397,"slug":20,"properties":398,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a00dcf88-6113-4e2b-9e97-cc183dc5d382","2023-11-30T15:54:48.562+00:00",[],{"title":399},{"VI":400},"IRCCS SDN Foundation, Institute of Diagnostic and Nuclear Development, Naples, Italy",{"title":402},{"VI":403},"Paola Gargiulo",{"id":405,"sortIndex":150,"researcher":20,"roles":406,"affiliations":407,"properties":426},"8889c027-05f3-4c5f-805b-982afbe13f9b",[193],[408,418],{"id":409,"sortIndex":150,"affiliation":410,"properties":417},"e8e315e5-de98-41a9-a352-9207e94c935b",{"id":411,"createTime":412,"updateTime":412,"relativeEntities":413,"slug":20,"properties":414,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"172b340a-9e20-48c3-b4c8-589a6ae9c8c1","2024-02-13T16:19:18.602+00:00",[],{"title":415},{"VI":416},"Z. and M.A. Wiener Cardiovascular Institute and M.-J. and H.R. Kravis Center for Cardiovascular Health, Mount Sinai Medical Center, New York, USA",{},{"id":20,"sortIndex":21,"affiliation":419,"properties":20},{"id":420,"createTime":421,"updateTime":421,"relativeEntities":422,"slug":20,"properties":423,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"f06a51ab-47e8-44d4-b223-642febfc0a29","2024-02-13T16:19:18.626+00:00",[],{"title":424},{"VI":425},"Division of Cardiology, Ospedale Medico-Chirurgico Accreditato Villa dei Fiori, Naples, Italy",{"title":427},{"VI":428},"Santo Dellegrottaglie",{"id":430,"sortIndex":145,"researcher":20,"roles":431,"affiliations":432,"properties":448},"beda55fb-7f9c-4117-a4c5-0ae42865f197",[193],[433,438],{"id":20,"sortIndex":21,"affiliation":434,"properties":20},{"id":395,"createTime":396,"updateTime":396,"relativeEntities":435,"slug":20,"properties":436,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":437},{"VI":400},{"id":439,"sortIndex":150,"affiliation":440,"properties":447},"4236ee2c-ac02-4cf9-b6de-79f66334f091",{"id":441,"createTime":442,"updateTime":442,"relativeEntities":443,"slug":20,"properties":444,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"0e8341b4-714a-4fdf-9491-fc81f1093b94","2023-12-13T15:47:34.977+00:00",[],{"title":445},{"VI":446},"Department of Studies of Institutions and Territorial Systems, University of Naples Parthenope, Naples, Italy",{},{"title":449},{"VI":450},"Andrea Soricelli",{"id":452,"sortIndex":453,"researcher":20,"roles":454,"affiliations":455,"properties":461},"697dbbfd-265a-444b-b2c4-16b4219e640b",10,[193],[456],{"id":20,"sortIndex":21,"affiliation":457,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":458,"slug":20,"properties":459,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":460},{"VI":366},{"title":462},{"VI":463},"Alberto Cuocolo",{"id":465,"sortIndex":242,"researcher":20,"roles":466,"affiliations":467,"properties":473},"8ee44d12-9c38-44b1-b748-7a4ab79f7316",[193],[468],{"id":20,"sortIndex":21,"affiliation":469,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":470,"slug":20,"properties":471,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":472},{"VI":366},{"title":474},{"VI":475},"Irma Fabiani",{"id":477,"sortIndex":143,"researcher":20,"roles":478,"affiliations":479,"properties":485},"6740005a-68b0-406b-a08b-f9e187626a09",[193],[480],{"id":20,"sortIndex":21,"affiliation":481,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":482,"slug":20,"properties":483,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":484},{"VI":366},{"title":486},{"VI":487},"Tiziana Formisano",{"id":489,"sortIndex":124,"researcher":20,"roles":490,"affiliations":491,"properties":497},"fe3e4942-0dff-42b7-b1ea-86d65aa9dfff",[193],[492],{"id":20,"sortIndex":21,"affiliation":493,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":494,"slug":20,"properties":495,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":496},{"VI":366},{"title":498},{"VI":499},"Annapaola Cirillo",{"id":501,"sortIndex":139,"researcher":20,"roles":502,"affiliations":503,"properties":509},"8123c545-9188-4ecd-846f-639b70c479b2",[193],[504],{"id":20,"sortIndex":21,"affiliation":505,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":506,"slug":20,"properties":507,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":508},{"VI":366},{"title":510},{"VI":511},"Lucia La Mura",{"id":513,"sortIndex":255,"researcher":20,"roles":514,"affiliations":515,"properties":521},"026247a7-fac9-4c2e-ae4d-607f7b66c86a",[193],[516],{"id":20,"sortIndex":21,"affiliation":517,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":518,"slug":20,"properties":519,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":520},{"VI":366},{"title":522},{"VI":523},"Marianna Amato",{"id":525,"sortIndex":526,"researcher":20,"roles":527,"affiliations":528,"properties":534},"052e7373-b420-40ca-839c-70c8c48a9ebf",8,[193],[529],{"id":20,"sortIndex":21,"affiliation":530,"properties":20},{"id":361,"createTime":362,"updateTime":362,"relativeEntities":531,"slug":20,"properties":532,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":533},{"VI":366},{"title":535},{"VI":536},"Elisabetta Iardino",{"url":343,"publisher":538,"properties":566},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":539,"slug":10,"properties":540,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":544,"manageAffiliations":545,"indexDatabases":546,"url":110,"thumbnailPath":20,"statistic":561,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":541,"eissn":542,"title":543},{"VOID":13},{"VOID":15},{"EN":17},[],[],[547,554],{"id":71,"indexDatabase":548,"url":84,"indexYears":85,"academicFieldIds":553,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":549,"label":550,"description":551,"key":81,"publicationTags":552,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":555,"url":107,"indexYears":20,"academicFieldIds":560,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":556,"label":557,"description":558,"key":103,"publicationTags":559,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":562,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":563,"totalCitation":141,"totalCitationByYear":564,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":565,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":567,"pages":568},{"VOID":322},{"VOID":569},"354-357","2013-05-29",{"id":572,"createTime":573,"updateTime":574,"relativeEntities":575,"slug":576,"properties":577,"entityType":185,"verifyStatus":186,"verifyTime":574,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":586,"fullTextUrl":20,"authors":587,"publicationType":290,"publisherRelationship":615,"citationCount":20,"citationInfo":20,"publishDate":649,"publishYear":650,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"1672cf4c-4c87-41ca-b2e3-bc61bad58c73","2024-01-16T20:17:36.755+00:00","2025-02-22T23:53:47.259+00:00",[],"Coronary-Artery-Calcium-Analysis-and-Reporting-on-Noncontrast-Chest-CT-Scans-a-Paradigm-Shift-in-Prevention",{"references":578,"abstract":580,"title":582,"doi":584},{"VOID":579},"Berrington de Gonzalez A, Mahesh M, Kim KP, et al. Projected cancer risks from computed tomographic scans performed in the United States in 2007. Arch Intern Med [Research Support, Non-US Gov’t. 2009;169(22):2071–7.\nMoyer VA, on behalf of the U.S. Preventive Services Task Force. Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2014;160:330–8.\nNational Coverage Analysis (NCA) for screening for lung cancer with low dose computed tomography (LDCT) (CAG-00439N). Available at: http:\u002F\u002Fwww.cms.gov\u002Fmedicare-coverage-database\u002Fdetails\u002Fnce-details.aspx?NCAld=272&NcaName+Screening+for+Lung+Cancer+with+Low+Does+Computed+Tomography+(LDCT)&MEDCACld=68&IsPopup=y&.\nPolonsky TS, Greenland P. Coronary artery calcium scores using nongated computed tomography. What to do with incidental results? Circ Cardiovasc Imaging. 2013;6:494–95. Well-reasoned editorial on the importance of reporting coronary calcium on CT scans.\nACR–SCBT-MR–SPR practice parameter for the performance of thoracic computed tomography (CT) Res. 10 – 2013, Amended 2014 (Res. 39).\nInternational Early Lung Cancer Action Program Investigators, Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, et al. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med. 2006;355:1763–71.\nNational Lung Screening Trial Research Team, Aberle DR, Adams AM, Berg CD, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. New Engl J Med. 2011;365:395–409.\nNational Comprehensive Cancer Network. NCCN clinical practice guidelines in oncology: lung cancer screening. Version 1, 2013. http:\u002F\u002Fwww.respiratory-thessaly.gr\u002Fassets\u002Flung_screening%201.2013.pdf. Formal recognition of CT as a screening tool for lung cancer\nDetterbeck FC, Lewis SZ, Diekemper R, Addrizzo-Harris D, Alberts WM. Executive summary: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143(5_suppl):7S–37S.\nWender R, Fontham ETH, Barrera E. American Cancer Society lung cancer screening guidelines. CA Cancer J Clin. 2013;63:107–17.\nJaklitsch MT, Jacobson FL, Austin JH, et al. The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups. J Thorac Cardiovasc Surg. 2012;144:33–8.\nAmerican Lung Association. Providing guidance on lung cancer screening to patients and physicians. April 23, 2012. http:\u002F\u002Fwww.lung.org\u002Flung-disease\u002Flung-cancer\u002Flung-cancer-screening-guidelines\u002Flung-cancer-screening.pdf.\nWilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97:1837–47.\nPerk J, De Backer G, Gohlke H, et al. ESC Committee for Practice Guidelines (CPG) European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). Eur Heart J. 2012;33:1635–701.\nStone NJ, Robinson J, Lichtenstein AH, et al. 2013 ACC\u002FAHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. J Am Coll Cardiol. 2013. doi:10.1016\u002Fj.jacc.2013.11.002.\nGreenland P, Alpert JS, Beller GA, American College of Cardiology Foundation; American Heart Association. 2010 ACCF ⁄ AHA guideline for assessment of cardiovascular risk in adults: a report of the American College of Cardiology Foundation ⁄ American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2010;56:e50–103. First and most evidence based guideline to strongly recommend CAC scanning.\nTaylor AJ, Cerqueira M, Hodgson JM. ACCF\u002FSCCT\u002FACR\u002FAHA\u002FASE\u002FASNC\u002FNASCI\u002FSCAI\u002FSCMR 2010 appropriate use criteria for cardiac computed tomography. J Am Coll Cardiol. 2010;56:1864–94.\nGoff Jr DC, Lloyd-Jones DM, Bennett G. 2013 ACC\u002FAHA guideline on the assessment of cardiovascular risk. J Am Coll Cardiol. 2014. doi:10.1016\u002Fj.jacc.2013.11.005.\nNair A, Hansell DM. European and North American lung cancer screening experience and implications for pulmonary nodule management. Eur Radiol. 2011;21(12):2445–54.\nField JK, van Klaveren R, Pedersen JH, European Randomized Screening Trial Group, et al. European randomized lung cancer screening trials: post NLST. J Surg Oncol. 2013;108:280–6.\nHecht HS, de Siqueira MEM, Cham M, et al. Low versus standard dose coronary artery calcium scanning. Eur Heart J Cardiovasc Imaging. 2015;16:358–63. Documents the feasibility of CAC scanning at very low radiation doses.\nKalia NK, Miller LG, Nasir K, Blumenthal RS, Agrawal N, Matthew J, et al. Visualizing coronary calcium is associated with improvements in adherence to statin therapy. Atherosclerosis. 2006;185:394–9.\nWilliams KA, Kim JT, Holohan KM. Frequency of unrecognized, unreported, or underreported coronary artery and cardiovascular calcification on noncardiac chest CT. J Cardiovasc Com Tom. 2013;7:167–72. Documents underreporting of coronary calcium on CT scans.\nUretsky S, Chokshi N, Kobrinski T, et al. The interplay of physician awareness and reporting of incidentally found coronary artery calcium on the clinical management of patients who underwent noncontrast chest computed tomography. Am J Cardiol. 2015;115:1513–7.\nHecht HS. Coronary artery calcium scanning: past, present and future. J Am Coll Cardiol Img. 2015;8:579–96. State-of-the-art review of all aspects of coronary calcium scanning.\nPolonsky TS, McClelland RL, Jorgensen NW, et al. Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA. 2010;303:1610–6.\nErbel R, Möhlenkamp S, Moebus S, et al. Coronary risk stratification, discrimination, and reclassification improvement based on quantification of subclinical coronary atherosclerosis. The Heinz Nixdorf Recall Study. J Am Coll Cardiol. 2010;56:1397–406.\nElias-Smale SE, Proença RV, Koller MT. Coronary calcium score improves classification of coronary heart disease risk in the elderly: the Rotterdam study. J Am Coll Cardiol. 2010;56:1407–14.\nOrakzai RH, Nasir K, Orakzai SH, et al. Effect of patient visualization of coronary calcium by electron beam computed tomography on changes in beneficial lifestyle behaviors. Am J Cardiol. 2008;101:999–1002.\nTaylor AJ, Bindeman J, Feuerstein I, et al. Community-based provision of statin and aspirin after the detection of coronary artery calcium within a community-based screening cohort. J Am Coll Cardiol. 2008;51:1337–41.\nRozanski A, Gransar H, Shaw LJ, et al. Impact of coronary artery calcium scanning on coronary risk factors and downstream testing: the EISNER (Early Identification of Subclinical Athero, sclerosis by Noninvasive Imaging Research) prospective randomized trial. J Am Coll Cardiol. 2011;57:1622–32. Illustrates impact of coronary calcium on risk factors and testing.\nBrugts JJ, Yetgin T, Hoeks SE. The benefits of statins in people without established cardiovascular disease but with cardiovascular risk factors: meta-analysis of randomised controlled trials. BMJ. 2009;338:b2376.\nDe Koning HJ, Van Der Aalst CM, Van Aerde MA, Ijkema R, Van Bruggen R, Oudkerk M. Design and recruitment of the ROBINSCA trial: screening for cardiovascular disease. Euro Heart J. 2015;36:S985. Ongoing randomized trial on the effect of coronary calcium on clinical outcomes.\nAmerican Association of Physicists in medicine position statement on radiation risks from medical imaging procedures. 2011; 25-A. http:\u002F\u002Ffederalregister.gov\u002Fa\u002F2015-28005\nPicano E, Vano E, Rehan MM. The appropriate and justified use of medical radiation in cardiovascular imaging: a position document of the ESC Associations of Cardiovascular Imaging, Percutaneous Cardiovascular Interventions and Electrophysiology. Euro Heart J. 2014. doi:10.1093\u002Feurheartj\u002Feht394.\nLarke FJ, Kruger RL, Cagnon CH, et al. Estimated radiation dose associated with low-dose chest CT of average-size participants in the National Lung Screening Trial. Am J Roentgenol. 2011;197:1165–9.\nPisano ED, Gatsonis C, Hendrick E, et al. Diagnostic performance of digital versus film mammography for breast-cancer screening. N Engl J Med. 2005;353:1773–83.\nWillemink MJ, Borstlap J, Takx RAP, et al. The effects of computed tomography with iterative reconstruction on solid pulmonary nodule volume quantification. PLoS One. 2013;8(2):e58053. doi:10.1371\u002Fjournal.pone.005803.\nChen B, Barnhart H, Richard S, Robins M, Colsher J, Samei E. Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR). Med Phys. 2013;40(11):111902. doi:10.1118\u002F1.4823463.\nBlack WC, Gareen IF, Soneji SS, et al. Cost effectiveness of CT screening in the National Lung Screening Trial. N Engl J Med. 2014;371:1793–82.\nvan Kempen BJH, Spronk S, Koller, et al. Comparative effectiveness and cost-effectiveness of computed tomography screening for coronary artery calcium in asymptomatic individuals. J Am Coll Cardiol. 2011;58:1690–71.\nPletcher MJ, Pignone M, Earnshaw S, et al. Using the coronary artery calcium score to guide statin therapy: a cost-effectiveness analysis. Circ Cardiovasc Qual Outcomes. 2014;7:276–84. Convincing demonstration of coronary calcium cost-effectiveness.\nBudoff MJ, Achenbach S, Blumenthal RS, et al. Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology. Circulation. 2006;114:1761–91.\nKim SM, Chung MJ, Lee KS, Choe YH, Yi CA, Choe BK. Coronary calcium screening using low-dose lung cancer screening: effectiveness of MDCT with retrospective reconstruction. Am J Roentgenol. 2008;190:917–22.\nWu MT, Yang P, Huang YL, et al. Coronary arterial calcification on low-dose ungated MDCT for lung cancer screening: concordance study with dedicated cardiac CT. Am J Roentgenol. 2008;190:923–8.\nBudoff MJ, Nasir K, Kinney GL, et al. Coronary artery and thoracic calcium on noncontrast thoracic CT scans: comparison of ungated and gated examinations in patients from the COPD gene cohort. J Cardiovasc Comput Tomogr. 2011;5:113–8.\nXie X, Zhao Y, de Bock GH, et al. Validation and prognosis of coronary artery calcium scoring in nontriggered thoracic computed tomography systematic review and meta-analysis. Circ Cardiovasc Imaging. 2013;6:514–21.\nHughes-Austin JM, Dominguez A, Allison MA, et al. Relationship of coronary artery calcium on standard chest computed tomography scans with mortality. J Am Coll Cardiol Img. 2016;9:152–9. doi:10.1016\u002Fj.jcmg.2015.06.030\nTakx RAP, de Jong PA, Leiner T, et al. Automated coronary artery calcification scoring in non-gated chest CT: agreement and reliability. PLoS One. 2014;9(3):e91239. doi:10.1371\u002Fjournal.pone.0091239.\nJacobs PC, Prokop M, van der Graaf Y, et al. Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers. Atherosclerosis. 2010;209:455–62.\nMets OM, Vliegenthart R, Gondrie MJ, et al. Lung cancer screening CT-based prediction of cardiovascular events. J Am Coll Cardiol Img. 2013;6:899–907.\nChiles C, Duan F, Gladish GW, et al. Association of coronary artery calcification and mortality in the National Lung Screening Trial: a comparison of three scoring methods. Radiology. 2015;76:82–90. Effects of 3 different calcium scoring methods on outcomes.\nShemesh J, Henschke CI, Shaham D, et al. Ordinal scoring of coronary artery calcifications on low-dose CT scans of the chest predicts deaths from cardiovascular disease. Radiology. 2010;257:541–8.\nHtwe Y, Cham M, Claudia Henschke C, et al. Coronary artery calcification on low-dose non gated computed tomography: comparison of Agatston and ordinal scores. Clin Imaging. 2015;39:799–802.\nHecht HS, Henschke CI, Yankelevitz D, Fuster V, Narula J. Combined detection of coronary artery disease and lung cancer. Eur Heart J. 2014;35:2792–6.",{"EN":581},"The quantification of coronary artery calcium (CAC) on gated noncontrast cardiac CT, as a screening test for subclinical coronary artery disease, has been consistently proven to be superior to risk factors and biomarkers for the prediction of long-term cardiovascular risk. Coronary artery calcium is also readily evaluable in every noncontrast (nongated) chest CT scan, yet there are no recommendations for reporting CAC in scans done for noncardiac indications. Lung CT scanning has been approved for lung cancer screening, and almost all the candidates are intermediate to high risk for coronary artery disease, which can be powerfully evaluated by the assessment of CAC at no additional radiation or cost. There are technical requirements for scanner detectors, slice thickness, and voltage which are easily satisfied. EKG gating provides the highest quality studies but will be more difficult to universally implement. Agatston scoring, ordinal scoring, and visual estimation of nongated scans offer alternatives and are supported by varying degrees of data. Similarly, newer reconstruction algorithms are available but are not yet widely used. Barriers to reporting include increased time and lack of increased reimbursement for CAC analysis, difficulties inherent to reporting abnormal results, and referring physician understanding and utilization of the results to alter patient education and management.",{"EN":583},"Coronary Artery Calcium Analysis and Reporting on Noncontrast Chest CT Scans: a Paradigm Shift in Prevention",{"VOID":585},"10.1007\u002Fs12410-016-9372-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-016-9372-2",[588],{"id":589,"sortIndex":21,"researcher":20,"roles":590,"affiliations":591,"properties":612},"0bcbe1fc-eecb-49e7-9025-767647390ceb",[193],[592,602],{"id":20,"sortIndex":21,"affiliation":593,"properties":20},{"id":594,"createTime":595,"updateTime":596,"relativeEntities":597,"slug":598,"properties":599,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"75e18064-d400-4a2d-a4e3-ceb8ea985c4a","2023-12-19T23:44:20.416+00:00","2024-12-19T16:09:52.197+00:00",[],"Icahn-School-of-Medicine-at-Mount-Sinai-New-York-USA",{"title":600},{"VI":601},"Icahn School of Medicine at Mount Sinai, New York, USA",{"id":603,"sortIndex":150,"affiliation":604,"properties":611},"9b209292-c63b-4a21-bf47-fdb873f78a1c",{"id":605,"createTime":606,"updateTime":606,"relativeEntities":607,"slug":20,"properties":608,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"57d34aeb-2233-4f32-b6c8-a899be21638f","2024-01-16T20:17:36.774+00:00",[],{"title":609},{"VI":610},"Mount Sinai Saint Luke’s Roosevelt Medical Center, New York, USA",{},{"title":613},{"VI":614},"Harvey S. Hecht",{"url":586,"publisher":616,"properties":644},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":617,"slug":10,"properties":618,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":622,"manageAffiliations":623,"indexDatabases":624,"url":110,"thumbnailPath":20,"statistic":639,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":619,"eissn":620,"title":621},{"VOID":13},{"VOID":15},{"EN":17},[],[],[625,632],{"id":71,"indexDatabase":626,"url":84,"indexYears":85,"academicFieldIds":631,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":627,"label":628,"description":629,"key":81,"publicationTags":630,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":633,"url":107,"indexYears":20,"academicFieldIds":638,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":634,"label":635,"description":636,"key":103,"publicationTags":637,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":640,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":641,"totalCitation":141,"totalCitationByYear":642,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":643,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":645,"pages":647},{"VOID":646},"9",{"VOID":648},"1-10","2016-02-19",2016,{"id":652,"createTime":653,"updateTime":653,"relativeEntities":654,"slug":20,"properties":655,"entityType":185,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":664,"fullTextUrl":20,"authors":665,"publicationType":290,"publisherRelationship":715,"citationCount":20,"citationInfo":20,"publishDate":749,"publishYear":750,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"547307f8-44fe-4486-bad3-2e9f4cba0cd1","2023-12-29T23:48:58.789+00:00",[],{"references":656,"abstract":658,"title":660,"doi":662},{"VOID":657},"Chagas disease in Latin America: an epidemiological update based on 2010 estimates. World Health Organization. Wkly Epidemiol Rec. 2015;90:33–43.\nBenziger CP, do Carmo GA, Ribeiro AL. Chagas cardiomyopathy: clinical presentation and management in the Americas. Cardiol Clin. 2017;35:31–47.\nRequena-Méndez A, Aldasoro E, de Lazzari E, Sicuri E, Brown M, Moore DAJ, et al. Prevalence of Chagas disease in Latin-American migrants living in Europe: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2015;9:e0003540.\nTraina MI, Hernandez S, Sanchez DR, Dufani J, Salih M, Abuhamidah AM, et al. Prevalence of Chagas disease in a U.S. population of Latin American immigrants with conduction abnormalities on electrocardiogram. PLoS Negl Trop Dis. 2017;11:e0005244.\nDias JC. The indeterminate form of human chronic Chagas’ disease. A clinical epidemiological review. Rev Soc Bras Med Trop. 1989;22:147–56.\nBocchi EA, Bestetti RB, Scanavacca MI, Cunha Neto E, Issa VS. Chronic Chagas heart disease management: from etiology to cardiomyopathy treatment. J Am Coll Cardiol. 2017;70:1510–24.\nMarin-Neto JA, Cunha-Neto E, Maciel BC, Simões MV. Pathogenesis of chronic Chagas heart disease. Circulation. 2007;115:1109–23.\nSimões MV, Oliveira LF, Hiss FC, Figueiredo AB, Pintya AO, Maciel BC, et al. Characterization of the apical aneurysm of chronic Chagas’ heart disease by scintigraphic image co-registration. Arq Bras Cardiol. 2007;89(2):119–21 131-4.\nVelasco A, Morillo CA. Chagas heart disease: a contemporary review. J Nucl Cardiol. 2018. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12350-018-1361-1.\nAyub-Ferreira SM, Mangini S, Issa VS, Cruz FD, Bacal F, Guimarães GV, et al. Mode of death on Chagas heart disease: comparison with other etiologies. A subanalysis of the REMADHE prospective trial. PLoS Negl Trop Dis. 2013;7(4):e2176.\nNunes MCP, Badano LP, Marin-Neto JA, Edvardsen T, Fernández-Golfín C, Bucciarelli-Ducci C, et al. Multimodality imaging evaluation of Chagas disease: an expert consensus of Brazilian cardiovascular imaging department (DIC) and the European Association of Cardiovascular Imaging (EACVI). Eur Heart J Cardiovasc Imaging. 2018;19(4):459–460n. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fehjci\u002Fjex154.\nFeit A, El-Sherif N, Korostoff S. Chagas’ disease masquerading as coronary artery disease. Arch Intern Med. 1983;143(1):144–5.\nHagar JM, Rahimtoola SH. Chagas’ heart disease in the United States. N Engl J Med. 1991;325(11):763–8.\nMarin-Neto JA, Marzullo P, Marcassa C, Gallo Junior L, Maciel BC, Bellina CR, et al. Myocardial perfusion abnormalities in chronic Chagas’ disease as detected by thallium-201 scintigraphy. Am J Cardiol. 1992;69(8):780–4.\nSimoes MV, Pintya AO, Bromberg-Marin G, Sarabanda AV, Antloga CM, Pazin-Filho A, et al. Relation of regional sympathetic denervation and myocardial perfusion disturbance to wall motion impairment in Chagas’ cardiomyopathy. Am J Cardiol. 2000;86(9):975–81.\nPeix A, Garcia R, Sanchez J, Cabrera LO, Padron K, Vedia O, et al. Myocardial perfusion imaging and cardiac involvement in the indeterminate phase of Chagas disease. Arq Bras Cardiol. 2013;100(2):114–7.\nHiss FC, Lascala TF, Maciel BC, Marin-Neto JA, Simoes MV. Changes in myocardial perfusion correlate with deterioration of left ventricular systolic function in chronic Chagas’ cardiomyopathy. J Am Coll Cardiol Img. 2009;2(2):164–72.\nSchwartz RG, Wexler O. Early identification and monitoring progression of Chagas’ cardiomyopathy with SPECT myocardial perfusion imaging. JACC Cardiovasc Imaging. 2009;2(2):173–5.\n•• Lemos de Oliveira LF, Thackeray JT, Marin Neto JA, Dias Romano MM, Vieira de Carvalho EE, Mejia J, et al. Regional Myocardial Perfusion Disturbance in Experimental Chronic Chagas Cardiomyopathy. J Nucl Med. 2018;59(9):1430–6 This paper is the first to describe the findings of high-resolution SPECT perfusion and 18 F-FDG PET images in a experimental model of chronic chagas disease in hamsters, showing the correlation between myocardial perfusion disturbance and underlying inflammatory changes.\n• Tanaka DM, de Oliveira LFL, Marin-Neto JA, Romano MMD, de Carvalho EEV, de Barros Filho ACL, et al. Prolonged dipyridamole administration reduces myocardial perfusion defects in experimental chronic Chagas cardiomyopathy. J Nucl Cardiol. 2018. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12350-018-1198-7 In this paper, the authors show the improvement of myocardial perfusion following the chronic administration of a microvascular dilator agent, reinforcing the hypothesis of participation of myocardial ischemia in the mechanism leading to cardiac dysfunction progression in CCC.\nMarin-Neto JA, Simões MV, Rassi Junior A. Pathogenesis of chronic Chagas cardiomyopathy: the role of coronary microvascular derangements. Rev Soc Bras Med Trop. 2013;46(5):536–41.\nPetretta M, Cuocolo A. The long way to defeating Chagas cardiomyopathy. J Nucl Cardiol. 2018. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12350-018-1238-3.\nKöberle F. Cardiopathia parasympaticopriva. München Med Wschr. 1959;101:1308–10.\nMott KE, Hagstrom JW. The pathologic lesions of the cardiac autonomic nervous system in chronic Chagas’ myocarditis. Circulation. 1965;31:273–86.\nMarin-Neto JA, Bromberg-Marin G, Pazin-Filho A, Simões MV, Maciel BC. Cardiac autonomic impairment and early myocardial damage involving the right ventricle are independent phenomena in Chagas’ disease. Int J Cardiol. 1998;65:261–9.\nMarino VSP, Dumont SM, Mota LDG, Braga DS, Freitas SS, Moreira MDCV. Sympathetic Dysautonomia in heart failure by 123I-MIBG: comparison between Chagasic, non-Chagasic and heart transplant patients. Arq Bras Cardiol. 2018 Aug;111(2):182–90.\n• Barizon GC, Simões MV, Schmidt A, Gadioli LP, Murta-Junior LO. Relationship between microvascular changes, autonomic denervation, and myocardial fibrosis in Chagas cardiomyopathy: evaluation by MRI and SPECT imaging. J Nucl Cardiol. 2018. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12350-018-1290-z This papers describes, by employing multiple imaging modalities corregistration in patients with CCC, the close topographic and quantitative correlation among microvascular ischemia and sympathetic denervation.\nBengel FM, Barthel P, Matsunari I, Schmidt G, Schwaiger M. Kinetics of 123I-MIBG after acute myocardial infarction and reperfusion therapy. J Nucl Med. 1999 Jun;40(6):904–10.\nSimões MV, Barthel P, Matsunari I, Nekolla SG, Schömig A, Schwaiger M, et al. Presence of sympathetically denervated but viable myocardium and its electrophysiologic correlates after early revascularised, acute myocardial infarction. Eur Heart J. 2004 Apr;25(7):551–7.\nMiranda CH, Figueiredo AB, Maciel BC, Marin-Neto JA, Simoes MV. Sustained ventricular tachycardia is associated with regional myocardial sympathetic denervation assessed with 123I-metaiodobenzylguanidine in chronic Chagas cardiomyopathy. J Nucl Med. 2011;52(4):504–10.\n•• Gadioli LP, Miranda CH, Pintya AO, de Figueiredo AB, Schmidt A, Maciel BC, et al. The severity of ventricular arrhythmia correlates with the extent of myocardial sympathetic denervation, but not with myocardial fibrosis extent in chronic Chagas cardiomyopathy: Chagas disease, denervation and arrhythmia. J Nucl Cardiol. 2018;25(1):75–83 This paper shows a quantitative correlation between the extent of sympathetic denervation and the severity of incident ventricular arrhythmia, indicating a potential role of MIBG imaging in risk stratify the risk of sudden death in CCC patients.\nRassi A Jr, Rassi SG, Rassi A. Sudden death in Chagas’ disease. Arq Bras Cardiol. 2001;76(1):75–96.\nGarg G, Cohen S, Neches R, Travin MI. Cardiac (18)F-FDG uptake in chagas disease. J Nucl Cardiol. 2016;23(2):321–5.\nSalimy MS, Parwani PJ, Mukai K, Pampaloni MH, Flavell RR. Abnormal 18F-FDG and 82Rb PET findings in Chagas heart disease. Clin Nucl Med. 2017;42(5):e265–8.\nShapiro H, Meymandi S, Shivkumar K, Bradfield JS. Cardiac inflammation and ventricular tachycardia in Chagas disease. Heart Rhythm Case Rep. 2017;3(8):392–5. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.hrcr.2017.05.007 eCollection 2017 Aug.",{"EN":659},"To review the contributions of radionuclide imaging to understanding the manifestations and pathophysiology of chronic Chagas cardiomyopathy (CCC). Experimental studies using high-resolution SPECT myocardial perfusion imaging (MPI) show that myocardial perfusion derangement that corresponds to dysfunctional, viable myocardium is closely linked to inflammation and precedes LV regional systolic dysfunction. Clinical studies show that microvascular ischemia is strictly related to the areas of cardiac sympathetic denervation, assessed by 123I-MIBG imaging, which correlates with severe ventricular arrhythmia incidence. Initial case reports suggest that 18F-FDG-PET imaging is a promising, non-invasive detection method for myocardial inflammation. Available evidence indicates that microvascular ischemia participates in the mechanisms causing myocardial injury in CCC, with potential implication for monitoring subclinical disease progression. Moreover, MIBG imaging is a promising tool for risk stratification of sudden death. Preliminary clinical experience suggests a role for 18F-FDG-PET in detection of inflammation in CCC.",{"EN":661},"Radionuclide Imaging in Chagas Cardiomyopathy",{"VOID":663},"10.1007\u002Fs12410-019-9482-8","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-019-9482-8",[666,681,703],{"id":667,"sortIndex":150,"researcher":20,"roles":668,"affiliations":669,"properties":678},"8e553390-77fe-4e60-b5b2-25fe198d6061",[193],[670],{"id":20,"sortIndex":21,"affiliation":671,"properties":20},{"id":672,"createTime":673,"updateTime":673,"relativeEntities":674,"slug":20,"properties":675,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"504cf49d-4283-4f80-b307-99a69ec593ed","2023-12-29T23:48:58.840+00:00",[],{"title":676},{"VI":677},"Division of Cardiology, Internal Medicine Department, Medical School of Ribeirão Preto - University of São Paulo, Ribeirão Preto, Brazil",{"title":679},{"VI":680},"Leonardo Pippa Gadioli",{"id":682,"sortIndex":21,"researcher":20,"roles":683,"affiliations":684,"properties":700},"83aceb90-42e0-4863-a6f1-6201ff6f6ebb",[193],[685,690],{"id":20,"sortIndex":21,"affiliation":686,"properties":20},{"id":672,"createTime":673,"updateTime":673,"relativeEntities":687,"slug":20,"properties":688,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":689},{"VI":677},{"id":691,"sortIndex":150,"affiliation":692,"properties":699},"920208f6-c900-414a-85e7-caea7bfa9ca7",{"id":693,"createTime":694,"updateTime":694,"relativeEntities":695,"slug":20,"properties":696,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"42fc23a4-5bde-4446-9cfb-f9abc5af4360","2023-12-29T23:48:58.812+00:00",[],{"title":697},{"VI":698},"Cardiology Division – Internal Medicine Department, Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, Brazil",{},{"title":701},{"VI":702},"Marcus Vinicius Simões",{"id":704,"sortIndex":124,"researcher":20,"roles":705,"affiliations":706,"properties":712},"dc7bf483-a2cb-4862-8d09-9b48839b3454",[193],[707],{"id":20,"sortIndex":21,"affiliation":708,"properties":20},{"id":672,"createTime":673,"updateTime":673,"relativeEntities":709,"slug":20,"properties":710,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":711},{"VI":677},{"title":713},{"VI":714},"Luciano Fonseca Lemos de Oliveira",{"url":664,"publisher":716,"properties":744},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":717,"slug":10,"properties":718,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":722,"manageAffiliations":723,"indexDatabases":724,"url":110,"thumbnailPath":20,"statistic":739,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":719,"eissn":720,"title":721},{"VOID":13},{"VOID":15},{"EN":17},[],[],[725,732],{"id":71,"indexDatabase":726,"url":84,"indexYears":85,"academicFieldIds":731,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":727,"label":728,"description":729,"key":81,"publicationTags":730,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":733,"url":107,"indexYears":20,"academicFieldIds":738,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":734,"label":735,"description":736,"key":103,"publicationTags":737,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":740,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":741,"totalCitation":141,"totalCitationByYear":742,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":743,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":745,"pages":747},{"VOID":746},"12",{"VOID":748},"1-8","2019-02-12",2019,{"id":752,"createTime":753,"updateTime":754,"relativeEntities":755,"slug":756,"properties":757,"entityType":185,"verifyStatus":186,"verifyTime":766,"verifyNote":187,"syncStatus":19,"languages":767,"translateLanguages":20,"viewCount":21,"primaryUrl":769,"fullTextUrl":20,"authors":770,"publicationType":290,"publisherRelationship":816,"citationCount":20,"citationInfo":20,"publishDate":845,"publishYear":846,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":847,"isForceReanalyzing":327},"967989a8-96aa-47db-a3dc-20490975f2c1","2024-04-11T06:01:42.609+00:00","2025-01-28T23:47:28.881+00:00",[],"Cardiac-Magnetic-Resonance-Imaging-Recent-Advances-and-New-Insights-in-Cardiovascular-Disease",{"keywords":758,"abstract":760,"title":762,"doi":764},{"EN":759},"",{"EN":761},"Cardiac magnetic resonance (CMR) is increasingly employed as a diagnostic test in the evaluation of cardiovascular disease. This article provides an update on recent developments in diagnostic and prognostic applications of CMR in clinical practice. Specifically, advances in the evaluation of myocardial diseases of both ischemic and nonischemic etiology are emphasized. New data on less frequent indications such as constrictive pericarditis, valvular heart disease, or pulmonary hypertension are also summarized. Finally, the emerging roles of novel techniques, like myocardial T1-mapping or molecular imaging, are discussed.",{"EN":763},"Cardiac Magnetic Resonance Imaging: Recent Advances and New Insights in Cardiovascular Disease",{"VOID":765},"10.1007\u002Fs12410-012-9176-y","2025-01-28T23:47:28.880+00:00",[768],"EN","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-012-9176-y",[771,790],{"id":772,"sortIndex":21,"researcher":20,"roles":773,"affiliations":774,"properties":787},"724df1c6-2d1a-423e-8189-d1ff2187634c",[],[775],{"id":776,"sortIndex":21,"affiliation":777,"properties":784},"6b7d9512-6eee-461b-a6fb-d772953b9d40",{"id":778,"createTime":779,"updateTime":779,"relativeEntities":780,"slug":20,"properties":781,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"72942e26-17a2-4a0d-8ae5-433da7ea1bef","2024-01-03T18:12:04.915+00:00",[],{"title":782},{"VI":783},"The Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josee and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, United States",{"title":785},{"EN":786},"The Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josee and Henry, R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, USA",{"title":788},{"EN":789},"Eduardo Pozo",{"id":791,"sortIndex":150,"researcher":20,"roles":792,"affiliations":793,"properties":811},"764cf28a-2d89-4c8a-9f0d-5a17e401fac4",[],[794,802],{"id":795,"sortIndex":21,"affiliation":796,"properties":800},"710bfcc9-3a5b-41e6-ae56-8db3182582eb",{"id":778,"createTime":779,"updateTime":779,"relativeEntities":797,"slug":20,"properties":798,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":799},{"VI":783},{"title":801},{"EN":786},{"id":20,"sortIndex":21,"affiliation":803,"properties":20},{"id":804,"createTime":805,"updateTime":805,"relativeEntities":806,"slug":807,"properties":808,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"acf13086-e4e6-4598-80eb-e637218b68b7","2024-04-11T06:01:42.633+00:00",[],"Cardiovascular-Institute-Mount-Sinai-Hospital-New-York-USA",{"title":809},{"EN":810},"Cardiovascular Institute, Mount Sinai Hospital, New York, USA",{"title":812,"email":814},{"EN":813},"Javier Sanz",{"VOID":815},"Javier.Sanz@mountsinai.org",{"url":20,"publisher":817,"properties":20},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":818,"slug":10,"properties":819,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":823,"manageAffiliations":824,"indexDatabases":825,"url":110,"thumbnailPath":20,"statistic":840,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":820,"eissn":821,"title":822},{"VOID":13},{"VOID":15},{"EN":17},[],[],[826,833],{"id":71,"indexDatabase":827,"url":84,"indexYears":85,"academicFieldIds":832,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":828,"label":829,"description":830,"key":81,"publicationTags":831,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":834,"url":107,"indexYears":20,"academicFieldIds":839,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":835,"label":836,"description":837,"key":103,"publicationTags":838,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":841,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":842,"totalCitation":141,"totalCitationByYear":843,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":844,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},"2012-10-17",2012,[848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002],{"id":20,"text":849,"url":20,"identifiers":20},"Hendel RC, Patel MR, Kramer CM, Poon M, Hendel RC, Carr JC, et al. ACCF\u002FACR\u002FSCCT\u002FSCMR\u002FASNC\u002FNASCI\u002FSCAI\u002FSIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology. J Am Coll Cardiol. 2006;48:1475–97.",{"id":20,"text":851,"url":20,"identifiers":20},"• Jaarsma C, Leiner T, Bekkers SC, Crijns HJ, Wildberger JE, Nagel E, et al. Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis. J Am Coll Cardiol. 2012;59:1719–28. Meta-analysis that showed a higher diagnostic accuracy of stress CMR and PET compared with SPECT.",{"id":20,"text":853,"url":20,"identifiers":20},"•• Greenwood JP, Maredia N, Younger JF, Brown JM, Nixon J, Everett CC, et al. Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial. Lancet. 2012;379:453–60. This large multicenter prospective study confirmed the superiority of adenosine stress CMR over SPECT to detect significant coronary stenoses.",{"id":20,"text":855,"url":20,"identifiers":20},"Miller CD, Hwang W, Case D, Hoekstra JW, Lefebvre C, Blumstein H, et al. Stress CMR imaging observation unit in the emergency department reduces 1-year medical care costs in patients with acute chest pain: a randomized study for comparison with inpatient care. JACC Cardiovasc Imaging. 2011;4:862–70.",{"id":20,"text":857,"url":20,"identifiers":20},"Jahnke C, Nagel E, Gebker R, Kokocinski T, Kelle S, Manka R, et al. Prognostic value of cardiac magnetic resonance stress tests: adenosine stress perfusion and dobutamine stress wall motion imaging. Circulation. 2007;115:1769–76.",{"id":20,"text":859,"url":20,"identifiers":20},"Korosoglou G, Elhmidi Y, Steen H, Schellberg D, Riedle N, Ahrens J, et al. Prognostic value of high-dose dobutamine stress magnetic resonance imaging in 1493 consecutive patients: assessment of myocardial wall motion and perfusion. J Am Coll Cardiol. 2010;56:1225–34.",{"id":20,"text":861,"url":20,"identifiers":20},"Bodi V, Husser O, Sanchis J, Nunez J, Monmeneu JV, Lopez-Lereu MP, et al. Prognostic implications of dipyridamole cardiac MR imaging: a prospective multicenter registry. Radiology. 2012;262:91–100.",{"id":20,"text":863,"url":20,"identifiers":20},"Fuernau G, Eitel I, Franke V, Hildebrandt L, Meissner J, de Waha S, et al. Myocardium at risk in ST-segment elevation myocardial infarction comparison of T2-weighted edema imaging with the MR-assessed endocardial surface area and validation against angiographic scoring. JACC Cardiovasc Imaging. 2011;4:967–76.",{"id":20,"text":865,"url":20,"identifiers":20},"Eitel I, Desch S, Fuernau G, Hildebrand L, Gutberlet M, Schuler G, et al. Prognostic significance and determinants of myocardial salvage assessed by cardiovascular magnetic resonance in acute reperfused myocardial infarction. J Am Coll Cardiol. 2010;55:2470–9.",{"id":20,"text":867,"url":20,"identifiers":20},"Eitel I, Desch S, de Waha S, Fuernau G, Gutberlet M, Schuler G, et al. Long-term prognostic value of myocardial salvage assessed by cardiovascular magnetic resonance in acute reperfused myocardial infarction. Heart. 2011;97:2038–45.",{"id":20,"text":869,"url":20,"identifiers":20},"Bonow RO, Maurer G, Lee KL, Holly TA, Binkley PF, Desvigne-Nickens P, et al. Myocardial viability and survival in ischemic left ventricular dysfunction. N Engl J Med. 2011;364:1617–25.",{"id":20,"text":871,"url":20,"identifiers":20},"• Gerber BL, Rousseau MF, Ahn SA, le Polain de Waroux JB, Pouleur AC, Phlips T, et al. Prognostic value of myocardial viability by delayed-enhanced magnetic resonance in patients with coronary artery disease and low ejection fraction: impact of revascularization therapy. J Am Coll Cardiol. 2012;59:825–35. Determination of myocardial viability with ischemic heart disease has an outstanding impact in prognosis and can guide revascularization therapy.",{"id":20,"text":873,"url":20,"identifiers":20},"Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA, 3rd, Freedman RA, Gettes LS, et al. ACC\u002FAHA\u002FHRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities: a report of the American College of Cardiology\u002FAmerican Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the ACC\u002FAHA\u002FNASPE 2002 Guideline Update for Implantation of Cardiac Pacemakers and Antiarrhythmia Devices): developed in collaboration with the American Association for Thoracic Surgery and Society of Thoracic Surgeons. Circulation. 2008;117:e350–408.",{"id":20,"text":875,"url":20,"identifiers":20},"Roes SD, Borleffs CJ, van der Geest RJ, Westenberg JJ, Marsan NA, Kaandorp TA, et al. Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator. Circ Cardiovasc Imaging. 2009;2:183–90.",{"id":20,"text":877,"url":20,"identifiers":20},"Schmidt A, Azevedo CF, Cheng A, Gupta SN, Bluemke DA, Foo TK, et al. Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction. Circulation. 2007;115:2006–14.",{"id":20,"text":879,"url":20,"identifiers":20},"Yan AT, Shayne AJ, Brown KA, Gupta SN, Chan CW, Luu TM, et al. Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality. Circulation. 2006;114:32–9.",{"id":20,"text":881,"url":20,"identifiers":20},"de Haan S, Meijers TA, Knaapen P, Beek AM, van Rossum AC, Allaart CP. Scar size and characteristics assessed by CMR predict ventricular arrhythmias in ischaemic cardiomyopathy: comparison of previously validated models. Heart. 2011;97:1951–6.",{"id":20,"text":883,"url":20,"identifiers":20},"Boye P, Abdel-Aty H, Zacharzowsky U, Bohl S, Schwenke C, van der Geest RJ, et al. Prediction of life-threatening arrhythmic events in patients with chronic myocardial infarction by contrast-enhanced CMR. JACC Cardiovasc Imaging. 2011;4:871–9.",{"id":20,"text":885,"url":20,"identifiers":20},"Perez-David E, Arenal A, Rubio-Guivernau JL, del Castillo R, Atea L, Arbelo E, et al. Noninvasive identification of ventricular tachycardia-related conducting channels using contrast-enhanced magnetic resonance imaging in patients with chronic myocardial infarction: comparison of signal intensity scar mapping and endocardial voltage mapping. J Am Coll Cardiol. 2011;57:184–94.",{"id":20,"text":887,"url":20,"identifiers":20},"Reynolds HR, Srichai MB, Iqbal SN, Slater JN, Mancini GB, Feit F, et al. Mechanisms of myocardial infarction in women without angiographically obstructive coronary artery disease. Circulation. 2011;124:1414–25.",{"id":20,"text":889,"url":20,"identifiers":20},"• Monney PA, Sekhri N, Burchell T, Knight C, Davies C, Deaner A, et al. Acute myocarditis presenting as acute coronary syndrome: role of early cardiac magnetic resonance in its diagnosis. Heart. 2011;97:1312–8. The diagnostic performance of CMR for myocarditis is significantly higher in the acute phase.",{"id":20,"text":891,"url":20,"identifiers":20},"Eitel I, von Knobelsdorff-Brenkenhoff F, Bernhardt P, Carbone I, Muellerleile K, Aldrovandi A, et al. Clinical characteristics and cardiovascular magnetic resonance findings in stress (takotsubo) cardiomyopathy. JAMA. 2011;306:277–86.",{"id":20,"text":893,"url":20,"identifiers":20},"Jansen CH, Perera D, Makowski MR, Wiethoff AJ, Phinikaridou A, Razavi RM, et al. Detection of intracoronary thrombus by magnetic resonance imaging in patients with acute myocardial infarction. Circulation. 2011;124:416–24.",{"id":20,"text":895,"url":20,"identifiers":20},"•• Assomull RG, Shakespeare C, Kalra PR, Lloyd G, Gulati A, Strange J, et al. Role of cardiovascular magnetic resonance as a gatekeeper to invasive coronary angiography in patients presenting with heart failure of unknown etiology. Circulation. 2011;124:1351–60. Rule out of significant coronary artery disease with CMR in dilated cardiomyopathy is cost-effective without differences in diagnosis accuracy.",{"id":20,"text":897,"url":20,"identifiers":20},"O’Donnell DH, Abbara S, Chaithiraphan V, Yared K, Killeen RP, Martos R, et al. Cardiac MR Imaging of nonischemic cardiomyopathies: imaging protocols and spectra of appearances. Radiology. 2012;262:403–22.",{"id":20,"text":899,"url":20,"identifiers":20},"Leong DP, Chakrabarty A, Shipp N, Molaee P, Madsen PL, Joerg L, et al. Effects of myocardial fibrosis and ventricular dyssynchrony on response to therapy in new-presentation idiopathic dilated cardiomyopathy: insights from cardiovascular magnetic resonance and echocardiography. Eur Heart J. 2012;33:640–8.",{"id":20,"text":901,"url":20,"identifiers":20},"Klem I, Shah DJ, White RD, Pennell DJ, van Rossum AC, Regenfus M, et al. Prognostic value of routine cardiac magnetic resonance assessment of left ventricular ejection fraction and myocardial damage: an international, multicenter study. Circ Cardiovasc Imaging. 2011;4:610–9.",{"id":20,"text":903,"url":20,"identifiers":20},"Cheong BY, Muthupillai R, Wilson JM, Sung A, Huber S, Amin S, et al. Prognostic significance of delayed-enhancement magnetic resonance imaging: survival of 857 patients with and without left ventricular dysfunction. Circulation. 2009;120:2069–76.",{"id":20,"text":905,"url":20,"identifiers":20},"•• Klem I, Weinsaft JW, Bahnson TD, Hegland D, Kim HW, Hayes B, et al. Assessment of myocardial scarring improves risk stratification in patients evaluated for cardiac defibrillator implantation. J Am Coll Cardiol. 2012;60:408–20. Presence of LGE scar mass >5 % has a higher prognostic value for malignant arrhythmias and death than LVEF in dilated cardiomyopathy.",{"id":20,"text":907,"url":20,"identifiers":20},"Gao P, Yee R, Gula L, Krahn AD, Skanes A, Leong-Sit P, et al. Prediction of arrhythmic events in ischemic and dilated cardiomyopathy patients referred for implantable cardiac defibrillator: evaluation of multiple scar quantification measures for late gadolinium enhancement magnetic resonance imaging. Circ Cardiovasc Imaging. 2011;5:448–56.",{"id":20,"text":909,"url":20,"identifiers":20},"Iles L, Pfluger H, Lefkovits L, Butler MJ, Kistler PM, Kaye DM, et al. Myocardial fibrosis predicts appropriate device therapy in patients with implantable cardioverter-defibrillators for primary prevention of sudden cardiac death. J Am Coll Cardiol. 2011;57:821–8.",{"id":20,"text":911,"url":20,"identifiers":20},"Lehrke S, Lossnitzer D, Schob M, Steen H, Merten C, Kemmling H, et al. Use of cardiovascular magnetic resonance for risk stratification in chronic heart failure: prognostic value of late gadolinium enhancement in patients with non-ischaemic dilated cardiomyopathy. Heart. 2011;97:727–32.",{"id":20,"text":913,"url":20,"identifiers":20},"Maron MS. Clinical utility of cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Cardiovasc Magn Reson. 2012;14:13.",{"id":20,"text":915,"url":20,"identifiers":20},"Bruder O, Wagner A, Jensen CJ, Schneider S, Ong P, Kispert EM, et al. Myocardial scar visualized by cardiovascular magnetic resonance imaging predicts major adverse events in patients with hypertrophic cardiomyopathy. J Am Coll Cardiol. 2010;56:875–87.",{"id":20,"text":917,"url":20,"identifiers":20},"Maron MS, Appelbaum E, Harrigan CJ, Buros J, Gibson CM, Hanna C, et al. Clinical profile and significance of delayed enhancement in hypertrophic cardiomyopathy. Circ Heart Fail. 2008;1:184–91.",{"id":20,"text":919,"url":20,"identifiers":20},"O’Hanlon R, Grasso A, Roughton M, Moon JC, Clark S, Wage R, et al. Prognostic significance of myocardial fibrosis in hypertrophic cardiomyopathy. J Am Coll Cardiol. 2010;56:867–74.",{"id":20,"text":921,"url":20,"identifiers":20},"Rubinshtein R, Glockner JF, Ommen SR, Araoz PA, Ackerman MJ, Sorajja P, et al. Characteristics and clinical significance of late gadolinium enhancement by contrast-enhanced magnetic resonance imaging in patients with hypertrophic cardiomyopathy. Circ Heart Fail. 2010;3:51–8.",{"id":20,"text":923,"url":20,"identifiers":20},"• Green JJ, Berger JS, Kramer CM, Salerno M. Prognostic value of late gadolinium enhancement in clinical outcomes for hypertrophic cardiomyopathy. JACC Cardiovasc Imaging. 2012;5:370–7. Presence of LGE in hypertrophic cardiomyopathy was an independent predictor of heart failure and death, but did not reach statistical significance for sudden cardiac death.",{"id":20,"text":925,"url":20,"identifiers":20},"Gersh BJ, Maron BJ, Bonow RO, Dearani JA, Fifer MA, Link MS, et al. ACCF\u002FAHA Guideline for the diagnosis and treatment of hypertrophic cardiomyopathy: a report of the American College of Cardiology Foundation\u002FAmerican Heart Association Task Force on Practice Guidelines. Developed in collaboration with the American Association for Thoracic Surgery, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Failure Society of America, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2011;58:e212–60.",{"id":20,"text":927,"url":20,"identifiers":20},"Marcus FI, McKenna WJ, Sherrill D, Basso C, Bauce B, Bluemke DA, et al. Diagnosis of arrhythmogenic right ventricular cardiomyopathy\u002Fdysplasia: proposed modification of the task force criteria. Circulation. 2010;121:1533–41.",{"id":20,"text":929,"url":20,"identifiers":20},"Vermes E, Strohm O, Otmani A, Childs H, Duff H, Friedrich MG. Impact of the revision of arrhythmogenic right ventricular cardiomyopathy\u002Fdysplasia task force criteria on its prevalence by CMR criteria. JACC Cardiovasc Imaging. 2011;4:282–7.",{"id":20,"text":931,"url":20,"identifiers":20},"Quarta G, Muir A, Pantazis A, Syrris P, Gehmlich K, Garcia-Pavia P, et al. Familial evaluation in arrhythmogenic right ventricular cardiomyopathy: impact of genetics and revised task force criteria. Circulation. 2011;123:2701–9.",{"id":20,"text":933,"url":20,"identifiers":20},"Friedrich MG, Sechtem U, Schulz-Menger J, Holmvang G, Alakija P, Cooper LT, et al. Cardiovascular magnetic resonance in myocarditis: a JACC White Paper. J Am Coll Cardiol. 2009;53:1475–87.",{"id":20,"text":935,"url":20,"identifiers":20},"Lurz P, Eitel I, Adam J, Steiner J, Grothoff M, Desch S, et al. Diagnostic performance of CMR imaging compared with EMB in patients with suspected myocarditis. JACC Cardiovasc Imaging. 2012;5:513–24.",{"id":20,"text":937,"url":20,"identifiers":20},"Grun S, Schumm J, Greulich S, Wagner A, Schneider S, Bruder O, et al. Long-term follow-up of biopsy-proven viral myocarditis: predictors of mortality and incomplete recovery. J Am Coll Cardiol. 2012;59:1604–15.",{"id":20,"text":939,"url":20,"identifiers":20},"Kremastinos DT, Farmakis D. Iron overload cardiomyopathy in clinical practice. Circulation. 2011;124:2253–63.",{"id":20,"text":941,"url":20,"identifiers":20},"•• Kirk P, Roughton M, Porter JB, Walker JM, Tanner MA, Patel J, et al. Cardiac T2* magnetic resonance for prediction of cardiac complications in thalassemia major. Circulation. 2009;120:1961–8. Shortening in T2* relaxation was the most powerful predictor of heart failure and cardiac arrhythmias in patients with thalassemia major.",{"id":20,"text":943,"url":20,"identifiers":20},"Carpenter JP, He T, Kirk P, Roughton M, Anderson LJ, de Noronha SV, et al. On T2* magnetic resonance and cardiac iron. Circulation. 2011;123:1519–28.",{"id":20,"text":945,"url":20,"identifiers":20},"Turkbey EB, Backlund JY, Genuth S, Jain A, Miao C, Cleary PA, et al. Myocardial structure, function, and scar in patients with type 1 diabetes mellitus. Circulation. 2011;124:1737–46.",{"id":20,"text":947,"url":20,"identifiers":20},"Niemann M, Herrmann S, Hu K, Breunig F, Strotmann J, Beer M, et al. Differences in Fabry cardiomyopathy between female and male patients: consequences for diagnostic assessment. JACC Cardiovasc Imaging. 2011;4:592–601.",{"id":20,"text":949,"url":20,"identifiers":20},"Weidemann F, Rummey C, Bijnens B, Stork S, Jasaityte R, Dhooge J, et al. The heart in Friedreich ataxia: definition of cardiomyopathy, disease severity, and correlation with neurological symptoms. Circulation. 2012;125:1626–34.",{"id":20,"text":951,"url":20,"identifiers":20},"Verhaert D, Richards K, Rafael-Fortney JA, Raman SV. Cardiac involvement in patients with muscular dystrophies: magnetic resonance imaging phenotype and genotypic considerations. Circ Cardiovasc Imaging. 2011;4:67–76.",{"id":20,"text":953,"url":20,"identifiers":20},"Chaowu Y, Li L, Shihua Z. Histopathological features of delayed enhancement cardiovascular magnetic resonance in isolated left ventricular noncompaction. J Am Coll Cardiol. 2011;58:311–2.",{"id":20,"text":955,"url":20,"identifiers":20},"Salemi VM, Rochitte CE, Shiozaki AA, Andrade JM, Parga JR, de Avila LF, et al. Late gadolinium enhancement magnetic resonance imaging in the diagnosis and prognosis of endomyocardial fibrosis patients. Circ Cardiovasc Imaging. 2011;4:304–11.",{"id":20,"text":957,"url":20,"identifiers":20},"Youssef G, Beanlands RS, Birnie DH, Nery PB. Cardiac sarcoidosis: applications of imaging in diagnosis and directing treatment. Heart. 2011;97:2078–87.",{"id":20,"text":959,"url":20,"identifiers":20},"Miller CA, Dormand H, Clark D, Jones M, Bishop P, Schmitt M. Comprehensive characterization of constrictive pericarditis using multiparametric CMR. JACC Cardiovasc Imaging. 2011;4:917–20.",{"id":20,"text":961,"url":20,"identifiers":20},"Thavendiranathan P, Verhaert D, Walls MC, Bender JA, Rajagopalan S, Chung YC, et al. Simultaneous right and left heart real-time, free-breathing CMR flow quantification identifies constrictive physiology. JACC Cardiovasc Imaging. 2012;5:15–24.",{"id":20,"text":963,"url":20,"identifiers":20},"Mirelis JG, Garcia-Alvarez A, Fernandez-Friera L, Sawit S, Hinojar R, Fuster V, et al. Respiratory ventricular area changes measured with real-time cardiac magnetic resonance: a new, accurate, and reproducible approach for the diagnosis of pericardial constriction. Int J Cardiol. 2012 (in press).",{"id":20,"text":965,"url":20,"identifiers":20},"Zurick AO, Bolen MA, Kwon DH, Tan CD, Popovic ZB, Rajeswaran J, et al. Pericardial delayed hyperenhancement with CMR imaging in patients with constrictive pericarditis undergoing surgical pericardiectomy: a case series with histopathological correlation. JACC Cardiovasc Imaging. 2011;4:1180–91.",{"id":20,"text":967,"url":20,"identifiers":20},"Feng D, Glockner J, Kim K, Martinez M, Syed IS, Araoz P, et al. Cardiac magnetic resonance imaging pericardial late gadolinium enhancement and elevated inflammatory markers can predict the reversibility of constrictive pericarditis after antiinflammatory medical therapy: a pilot study. Circulation. 2011;124:1830–7.",{"id":20,"text":969,"url":20,"identifiers":20},"Dweck MR, Joshi S, Murigu T, Alpendurada F, Jabbour A, Melina G, et al. Midwall fibrosis is an independent predictor of mortality in patients with aortic stenosis. J Am Coll Cardiol. 2011;58:1271–9.",{"id":20,"text":971,"url":20,"identifiers":20},"Herrmann S, Stork S, Niemann M, Lange V, Strotmann JM, Frantz S, et al. Low-gradient aortic valve stenosis myocardial fibrosis and its influence on function and outcome. J Am Coll Cardiol. 2011;58:402–12.",{"id":20,"text":973,"url":20,"identifiers":20},"Freed BH, Gomberg-Maitland M, Chandra S, Mor-Avi V, Rich S, Archer SL, et al. Late gadolinium enhancement cardiovascular magnetic resonance predicts clinical worsening in patients with pulmonary hypertension. J Cardiovasc Magn Reson. 2012;14:11.",{"id":20,"text":975,"url":20,"identifiers":20},"Fernandez-Friera L, Garcia-Alvarez A, Guzman G, Bagheriannejad-Esfahani F, Malick W, Nair A, et al. Apical right ventricular dysfunction in patients with pulmonary hypertension demonstrated with magnetic resonance. Heart. 2011;97:1250–6.",{"id":20,"text":977,"url":20,"identifiers":20},"Garcia-Alvarez A, Fernandez-Friera L, Mirelis JG, Sawit S, Nair A, Kallman J, et al. Noninvasive estimation of pulmonary vascular resistance with cardiac magnetic resonance. Eur Heart J. 2011;32:2438–45.",{"id":20,"text":979,"url":20,"identifiers":20},"Sanz J, Garcia-Alvarez A, Fernandez-Friera L, Nair A, Mirelis JG, Sawit ST, et al. Right ventriculo-arterial coupling in pulmonary hypertension: a magnetic resonance study. Heart. 2012;98:238–43.",{"id":20,"text":981,"url":20,"identifiers":20},"White SK, Sado DM, Flett AS, Moon JC. Characterizing the myocardial interstitial space: the clinical relevance of noninvasive imaging. Heart. 2012;98:773–9.",{"id":20,"text":983,"url":20,"identifiers":20},"Flett AS, Hayward MP, Ashworth MT, Hansen MS, Taylor AM, Elliott PM, et al. Equilibrium contrast cardiovascular magnetic resonance for the measurement of diffuse myocardial fibrosis: preliminary validation in humans. Circulation. 2011;122:138–44.",{"id":20,"text":985,"url":20,"identifiers":20},"Mewton N, Liu CY, Croisille P, Bluemke D, Lima JA. Assessment of myocardial fibrosis with cardiovascular magnetic resonance. J Am Coll Cardiol. 2011;57:891–903.",{"id":20,"text":987,"url":20,"identifiers":20},"Ng AC, Auger D, Delgado V, van Elderen SG, Bertini M, Siebelink HM, et al. Association between diffuse myocardial fibrosis by cardiac magnetic resonance contrast-enhanced T(1) mapping and subclinical myocardial dysfunction in diabetic patients: a pilot study. Circ Cardiovasc Imaging. 2012;5:51–9.",{"id":20,"text":989,"url":20,"identifiers":20},"Jellis C, Wright J, Kennedy D, Sacre J, Jenkins C, Haluska B, et al. Association of imaging markers of myocardial fibrosis with metabolic and functional disturbances in early diabetic cardiomyopathy. Circ Cardiovasc Imaging. 2011;4:693–702.",{"id":20,"text":991,"url":20,"identifiers":20},"Wong TC, Piehler K, Meier CG, Testa SM, Klock AM, Aneizi AA, et al. Association between extracellular matrix expansion quantified by cardiovascular magnetic resonance and short-term mortality. Circulation. 2012;126:1206–16.",{"id":20,"text":993,"url":20,"identifiers":20},"Lee WW, Marinelli B, van der Laan AM, Sena BF, Gorbatov R, Leuschner F, et al. PET\u002FMRI of inflammation in myocardial infarction. J Am Coll Cardiol. 2012;59:153–63.",{"id":20,"text":995,"url":20,"identifiers":20},"Moon H, Park HE, Kang J, Lee H, Cheong C, Lim YT, et al. Noninvasive assessment of myocardial inflammation by cardiovascular magnetic resonance in a rat model of experimental autoimmune myocarditis. Circulation. 2012;125:2603–12.",{"id":20,"text":997,"url":20,"identifiers":20},"Dash R, Chung J, Chan T, Yamada M, Barral J, Nishimura D, et al. A molecular MRI probe to detect treatment of cardiac apoptosis in vivo. Magn Reson Med. 2011;66:1152–62.",{"id":20,"text":999,"url":20,"identifiers":20},"Ng AC, Delgado V, Bertini M, van der Meer RW, Rijzewijk LJ, Hooi Ewe S, et al. Myocardial steatosis and biventricular strain and strain rate imaging in patients with type 2 diabetes mellitus. Circulation. 2010;122:2538–44.",{"id":20,"text":1001,"url":20,"identifiers":20},"Rider OJ, Francis JM, Ali MK, Holloway C, Pegg T, Robson MD, et al. Effects of catecholamine stress on diastolic function and myocardial energetics in obesity. Circulation. 2012;125:1511–9.",{"id":20,"text":1003,"url":20,"identifiers":20},"Hor KN, Gottliebson WM, Carson C, Wash E, Cnota J, Fleck R, et al. Comparison of magnetic resonance feature tracking for strain calculation with harmonic phase imaging analysis. JACC Cardiovasc Imaging. 2010;3:144–51.",{"id":1005,"createTime":1006,"updateTime":1007,"relativeEntities":1008,"slug":1009,"properties":1010,"entityType":185,"verifyStatus":186,"verifyTime":1007,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":150,"primaryUrl":1017,"fullTextUrl":20,"authors":1018,"publicationType":290,"publisherRelationship":1049,"citationCount":20,"citationInfo":20,"publishDate":1083,"publishYear":1084,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"d456b189-51a4-427c-afe0-685bb7533bd9","2024-01-19T04:37:11.547+00:00","2025-02-17T23:47:14.080+00:00",[],"Prognostic-Value-of-Myocardial-Perfusion-Imaging-in-the-Elderly",{"references":1011,"title":1013,"doi":1015},{"VOID":1012},"Valeti US, Miller TD, Hodge DO, et al.: Exercise single-photon emission computed tomography provides effective risk stratification of elderly men and elderly women. Circulation 2005, 111:1771–1776.\nSchinkel AF, Elhendy A, Biagini E, et al.: Prognostic stratification using dobutamine stress 99mTc-tetrofosmin myocardial perfusion SPECT in elderly patients unable to perform exercise testing. J Nucl Med 2005, 46:12–18.\nBiagini E, Elhendy A, Schinkel AF, et al.: Long-term prediction of mortality in elderly persons by dobutamine stress echocardiography. J Gerontol A Biol Sci Med Sci 2005, 60:1333–1338.\nHachamovitch R, Di Carli MF: Contemporary reviews in cardiovascular medicine: methods and limitations of assessing new noninvasive tests, II: outcomes-based validation and reliability assessment of noninvasive testing. Circulation 2008, 117:2793–2801.",{"EN":1014},"Prognostic Value of Myocardial Perfusion Imaging in the Elderly",{"VOID":1016},"10.1007\u002Fs12410-010-9010-3","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-010-9010-3",[1019,1035],{"id":1020,"sortIndex":150,"researcher":20,"roles":1021,"affiliations":1022,"properties":1032},"b07e1f3e-494b-458f-8e7b-53f460501bf9",[193],[1023],{"id":20,"sortIndex":21,"affiliation":1024,"properties":20},{"id":1025,"createTime":1026,"updateTime":1026,"relativeEntities":1027,"slug":1028,"properties":1029,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a99a90f2-e44f-4684-8380-635c3e89329a","2023-11-29T09:06:45.964+00:00",[],"Department-of-Clinical-Medicine-Cardiovascular-and-Immunological-Sciences-University-of-Naples-Federico-II-Naples-Italy",{"title":1030},{"VI":1031},"Department of Clinical Medicine, Cardiovascular and Immunological Sciences, University of Naples “Federico II”, Naples, Italy",{"title":1033},{"VI":1034},"Mario Petretta",{"id":1036,"sortIndex":21,"researcher":20,"roles":1037,"affiliations":1038,"properties":1047},"79e79763-ec5c-4fd0-a7a9-7bfd5771f631",[193],[1039],{"id":20,"sortIndex":21,"affiliation":1040,"properties":20},{"id":1041,"createTime":1042,"updateTime":1042,"relativeEntities":1043,"slug":20,"properties":1044,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"6c56fec9-2198-44b3-88bd-da1d09bdcdd9","2023-12-28T12:16:16.976+00:00",[],{"title":1045},{"VI":1046},"Department of Biomorphological and Functional Sciences, University of Naples Federico II, Napoli, Italy",{"title":1048},{"VI":463},{"url":1017,"publisher":1050,"properties":1078},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1051,"slug":10,"properties":1052,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1056,"manageAffiliations":1057,"indexDatabases":1058,"url":110,"thumbnailPath":20,"statistic":1073,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":1053,"eissn":1054,"title":1055},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1059,1066],{"id":71,"indexDatabase":1060,"url":84,"indexYears":85,"academicFieldIds":1065,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":1061,"label":1062,"description":1063,"key":81,"publicationTags":1064,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":1067,"url":107,"indexYears":20,"academicFieldIds":1072,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":1068,"label":1069,"description":1070,"key":103,"publicationTags":1071,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":1074,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":1075,"totalCitation":141,"totalCitationByYear":1076,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1077,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":1079,"pages":1081},{"VOID":1080},"3",{"VOID":1082},"51-53","2010-03-10",2010,{"id":1086,"createTime":1087,"updateTime":1088,"relativeEntities":1089,"slug":1090,"properties":1091,"entityType":185,"verifyStatus":186,"verifyTime":1088,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1100,"fullTextUrl":20,"authors":1101,"publicationType":290,"publisherRelationship":1143,"citationCount":20,"citationInfo":20,"publishDate":1176,"publishYear":1084,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"e31f1a1d-c513-4b65-a358-dd816fe4e853","2023-12-13T15:26:09.732+00:00","2025-01-27T23:41:48.636+00:00",[],"New-Imaging-Protocols-for-New-Single-Photon-Emission-CT-Technologies",{"references":1092,"abstract":1094,"title":1096,"doi":1098},{"VOID":1093},"Dilsizian V, Narula J: Atlas of Nuclear Cardiology, edn 3. Springer; Philadelphia, PA: 2009.\n• Slomka PJ, Patton JA, Berman DS, Germano G: Advances in technical aspects of myocardial perfusion SPECT imaging. J Nucl Cardiol 2009, 16:255–276. This is a comprehensive review of the technical aspects of the new systems and software.\nLewin HC, Hyun MC: A clinical comparison of an upright triple-head digital detector system to a standard supine dual-head gamma camera [abstract]. J Nucl Cardiol 2005, 12:113.\nwww.CardiArc.com. Accessed May 30, 2008.\nJaszczak RJ, Li J, Wang H, et al.: Pinhole collimation for ultra-high-resolution, small-field-of-view SPECT. Phys Med Biol 1994, 39:425–437.\nSchramm NU, Ebel G, Engeland U, et al.: High-resolution SPECT using multipinhole collimation. IEEE Transactions on Nuclear Science 2003, 50:315–320.\nBeekman FJ, Vastenhouw B: Design and simulation of a high-resolution stationary SPECT system for small animals. Phys Med Biol 2004, 49:4579–4592.\nVolokh L, Hugg J, Blevis I, et al.: Effect of detector energy response on image quality of myocardial perfusion SPECT. Paper presented at IEEE Nuclear Science Symposium and Medical Imaging Conference. Dresden, Germany; October 19–26, 2008.\nVija H, Chapman J, Ray M: IQ•SPECT technology White Paper. Siemens Medical Solutions USA Molecular Imaging; 2008:1–7.\nHudson HM, Larkin RS: Accelerated image reconstruction using ordered subsets of projection data. IEEE Transactions on Medical Imaging 1994, 13:601–609.\nUltraspect. www.UltraSPECT.com. Accessed September 6, 2008.\nBorges-Neto S, Pagnanelli RA, Shaw LK, et al.: Clinical results of a novel wide beam reconstruction method for shortening scan time of Tc-99m cardiac SPECT perfusion studies. J Nucl Cardiol 2007, 14:555–565.\nHerzog BA, Buechel RR, Katz R, et al.: Nuclear myocardial perfusion imaging with a cadmium-zinc-telluride detector technique: optimized protocol for scan time reduction. J Nucl Med 2010, 51:46–51.\nBuechel RR, Herzog BA, Husmann L, et al.: Ultrafast nuclear myocardial perfusion imaging on a new gamma camera with semiconductor detector technique: first clinical validation. Eur J Nucl Med Mol Imaging 2009, In press.\n• Esteves FP, Raggi P, Folks RD, et al.: Novel solid-state-detector dedicated cardiac camera for fast myocardial perfusion imaging: multicenter comparison with standard dual detector cameras. J Nucl Cardiol 2009, 16:927–934. This is the first clinical US study of the new multi-pinhole detector system.\nSharir T, Ben-Haim S, Merzon K, et al.: High-speed myocardial perfusion imaging: initial clinical comparison with conventional dual detector anger camera imaging. JACC Cardiovasc Imaging 2008, 1:156–163.\n• Berman DS, Kang X, Tamarappoo B, et al.: Stress thallium-201\u002Frest technetium-99m sequential dual isotope high-speed myocardial perfusion imaging. JACC Cardiovasc Imaging 2009, 2:273–282. This is a novel Tl\u002FTc protocol for dose-efficient fast stress and rest MPS scanning.\nNishina H, Slomka PJ, Abidov A, et al.: Combined supine and prone quantitative myocardial perfusion SPECT: method development and clinical validation in patients with no known coronary artery disease. J Nucl Med 2006, 47:51–58.\n•• Sharir T, Slomka P, Hayes S, et al.: Multicenter trial of high-speed vs. conventional SPECT imaging: quantitative results of myocardial perfusion and left ventricular function. J Am Coll Cardiol 2010, In press. This article includes a comparison of fully automated perfusion quantification for conventional and fast SPECT.\nSlomka PJ, Nishina H, Berman DS, et al.: Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol 2005, 12:66–77.\nGermano G, Kiat H, Kavanagh PB, et al.: Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J Nucl Med 1995, 36:2138–2147.\nMaddahi J, Mendez R, Mahmarian JJ, et al.: Prospective multicenter evaluation of rapid, gated SPECT myocardial perfusion upright imaging. J Nucl Cardiol 2009, 16:351–357.\nDePuey EG, Bommireddipalli S, Clark J, et al.: Wide beam reconstruction “quarter-time” gated myocardial perfusion SPECT functional imaging: a comparison to “full-time” ordered subset expectation maximum. J Nucl Cardiol 2009, 16:736–752.\nCahill JM, Ficaro EP, Corbett JR: 4.11: Value of same-session coronary artery calcium (CAC) scoring in the setting of stress myocardial perfusion imaging (MPI) using CT-based attenuation correction (CTAC). J Nucl Cardiol 2008, 15:12.\nKoss J, Kirch D, Steele P: Fast acquisition of myocardial perfusion and LV contractile indices with multi-pinhole SPECT [abstract]. J Nucl Med 2009, 50(Suppl 2):1144.\nHeller GV, Bateman TM, Johnson LL, et al.: Clinical value of attenuation correction in stress-only Tc-99m sestamibi SPECT imaging. J Nucl Cardiol 2004, 11:273–281.\nIskandrian AE: Stress-only myocardial perfusion imaging: a new paradigm. J Am Coll Cardiol 2009, In press.\nVenero CV, Heller GV, Bateman TM, et al.: A multicenter evaluation of a new post-processing method with depth-dependent collimator resolution applied to full-time and half-time acquisitions without and with simultaneously acquired attenuation correction. J Nucl Cardiol 2009, 16:714–725.\nAli I, Ruddy TD, Almgrahi A, et al.: Half-time SPECT myocardial perfusion imaging with attenuation correction. J Nucl Med 2009, 50:554.\n• Bateman TM, Heller GV, McGhie AI, et al.: Multicenter investigation comparing a highly efficient half-time stress-only attenuation correction approach against standard rest-stress Tc-99m SPECT imaging. J Nucl Cardiol 2009, 16:726–735. This article demonstrates the feasibility of stress-only fast MPS protocols.\nGambhir SS, Berman DS, Ziffer J, et al.: A novel high-sensitivity rapid-acquisition single-photon cardiac imaging camera. J Nucl Med 2009, 50:635.\nKacperski K, Erlandsson K, Ben-Haim S, et al.: Iterative deconvolution of simultaneous dual radionuclide projections for CdZnTe based cardiac SPECT. IEEE Nuclear Science Symposium Conference Record; 2008:5260–5263.\nKiat H, Germano G, Friedman J, et al.: Comparative feasibility of separate or simultaneous rest thallium-201\u002Fstress technetium-99m-sestamibi dual-isotope myocardial perfusion SPECT. J Nucl Med 1994, 35:542.\nSteele PP, Kirch DL, Koss JE: Comparison of simultaneous dual-isotope multipinhole SPECT with rotational SPECT in a group of patients with coronary artery disease. J Nucl Med 2008, 49:1080.\nBen-Haim S, Kacperski K, Hain S, et al.: Simultaneous dual-radionuclide myocardial perfusion imaging with a solid-state dedicated cardiac camera. Eur J Nucl Med Mol Imaging 2010, In press.\nBeller GA: Will cardiac positron emission tomography ultimately replace SPECT for myocardial perfusion imaging? J Nucl Cardiol 2009, 16:841–843.\nFunk T, Kirch DL, Koss JE, et al.: A novel approach to multipinhole SPECT for myocardial perfusion imaging. J Nucl Med 2006, 47:595–602.\nHuang Q, Boutchko R, Reutter B, Gullberg G: Dynamic imaging with a novel dedicated cardiac SPECT system. J Nucl Med 2009, 50(Suppl 2):525P.\nBreault C, Roth N, Slomka P, et al.: Quantification of coronary vasodilator reserve using dynamic SPECT imaging: a feasibility study [abstract]. J Nucl Cardiol 2010, (in press).\nSlomka P, Kavanagh PB, Javadi M, et al.: Evaluation of a new automatic algorithm for quantification of ECG-gated 82Rb cardiac PET. J Nucl Med 2009, 50(Suppl 2):217P.\nSlomka PJ, Berman DS, Germano G: Applications and software techniques for integrated cardiac multimodality imaging. Exp Rev Cardiovasc Ther 2008, 6:27–41.\nGutstein A, Wolak A, Lee C, et al.: Predicting success of prospective and retrospective gating with dual-source coronary computed tomography angiography: development of selection criteria and initial experience. J Cardiovasc Comput Tomogr 2008, 2:81-90.\n• Husmann L, Herzog BA, Gaemperli O, et al.: Diagnostic accuracy of computed tomography coronary angiography and evaluation of stress-only single-photon emission computed tomography\u002Fcomputed tomography hybrid imaging: comparison of prospective electrocardiogram-triggering vs. retrospective gating. Eur Heart J 2009, 30:600. Novel protocols are proposed in this article, which combine MPS and CCTA.\nDePuey EG: New software methods to cope with reduced counting statistics: shorter SPECT acquisitions and many more possibilities. J Nucl Cardiol 2009, 16:335–338.\nAchenbach S, Marwan M, Ropers D, et al.: Coronary computed tomography angiography with a consistent dose below 1 mSv using prospectively electrocardiogram-triggered high-pitch spiral acquisition. Eur Heart J 2010, 31:340–346.\nSantana CA, Garcia EV, Faber TL, et al.: Diagnostic performance of fusion of myocardial perfusion imaging (MPI) and computed tomography coronary angiography. J Nucl Cardiol 2009, 16:201–211.\nSlomka PJ, Cheng VY, Dey D, et al.: Quantitative analysis of myocardial perfusion SPECT anatomically guided by coregistered 64-slice coronary CT angiography. J Nucl Med 2009, 50:1621–1630.\nZeng GL, Stevens AM: Multidivergent-beam stationary cardiac SPECT. Med Phys 2009, 36:2860–2869.\nDey J: Conference record for IEEE NSS-MIC. 2009, In press.",{"EN":1095},"Nuclear cardiology practitioners have several new technologies available with which to perform myocardial perfusion single photon emission CT (MPS). These include dedicated small-footprint cardiac scanners, new stationary or semi-stationary three-dimensional detectors, and advanced software algorithms for optimal image reconstruction. These new technologies have been employed to reduce imaging time and radiation exposure. They require less technologist and camera time and offer improved patient comfort. They have potential for the overall cost reduction of MPS and at the same time for improved accuracy by increased resolution, or accurate attenuation correction. Furthermore, these new technologies offer potential for new protocols such as simultaneous dual isotope, new combinations of isotopes, stress only MPS, or dynamic first-pass imaging. In addition, new imaging technologies in coronary CT angiography (CCTA) allow novel hybrid stress only MPS\u002FCCTA protocols with reduced radiation burden. Additional developments further improving efficiency and diagnostic accuracy of MPS are on the horizon.",{"EN":1097},"New Imaging Protocols for New Single Photon Emission CT Technologies",{"VOID":1099},"10.1007\u002Fs12410-010-9021-0","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12410-010-9021-0",[1102,1119,1131],{"id":1103,"sortIndex":124,"researcher":20,"roles":1104,"affiliations":1105,"properties":1116},"a4d60fb3-5b08-4a41-9e24-782f3ef52165",[193],[1106],{"id":20,"sortIndex":21,"affiliation":1107,"properties":20},{"id":1108,"createTime":1109,"updateTime":1110,"relativeEntities":1111,"slug":1112,"properties":1113,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"18c4eaad-2e0b-492c-8499-b358177b6590","2024-04-15T17:41:16.929+00:00","2024-11-26T14:30:11.794+00:00",[],"Los-Angeles-USA",{"title":1114},{"EN":1115},"Los Angeles, USA",{"title":1117},{"VI":1118},"Guido Germano",{"id":1120,"sortIndex":150,"researcher":20,"roles":1121,"affiliations":1122,"properties":1128},"c87d19e8-f262-478d-a27b-ba6682d9832c",[193],[1123],{"id":20,"sortIndex":21,"affiliation":1124,"properties":20},{"id":1108,"createTime":1109,"updateTime":1110,"relativeEntities":1125,"slug":1112,"properties":1126,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1127},{"EN":1115},{"title":1129},{"VI":1130},"Daniel S. Berman",{"id":1132,"sortIndex":21,"researcher":20,"roles":1133,"affiliations":1134,"properties":1140},"00a05b82-f21c-4309-8e3c-bd69a6c7afd3",[193],[1135],{"id":20,"sortIndex":21,"affiliation":1136,"properties":20},{"id":1108,"createTime":1109,"updateTime":1110,"relativeEntities":1137,"slug":1112,"properties":1138,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1139},{"EN":1115},{"title":1141},{"VI":1142},"Piotr J. Slomka",{"url":1100,"publisher":1144,"properties":1172},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1145,"slug":10,"properties":1146,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1150,"manageAffiliations":1151,"indexDatabases":1152,"url":110,"thumbnailPath":20,"statistic":1167,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":1147,"eissn":1148,"title":1149},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1153,1160],{"id":71,"indexDatabase":1154,"url":84,"indexYears":85,"academicFieldIds":1159,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":1155,"label":1156,"description":1157,"key":81,"publicationTags":1158,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":1161,"url":107,"indexYears":20,"academicFieldIds":1166,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":1162,"label":1163,"description":1164,"key":103,"publicationTags":1165,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":1168,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":1169,"totalCitation":141,"totalCitationByYear":1170,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1171,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":1173,"pages":1174},{"VOID":1080},{"VOID":1175},"162-170","2010-04-20",{"id":1178,"createTime":1179,"updateTime":1180,"relativeEntities":1181,"slug":1182,"properties":1183,"entityType":185,"verifyStatus":186,"verifyTime":1192,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":124,"primaryUrl":1193,"fullTextUrl":20,"authors":1194,"publicationType":290,"publisherRelationship":1307,"citationCount":20,"citationInfo":20,"publishDate":1340,"publishYear":750,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"2b3862c8-e7ea-450e-8bd0-ef889240061b","2023-12-03T07:21:06.034+00:00","2024-12-19T23:41:23.957+00:00",[],"Molecular-Imaging-to-Monitor-Left-Ventricular-Remodeling-in-Heart-Failure",{"references":1184,"abstract":1186,"title":1188,"doi":1190},{"VOID":1185},"Yla-Herttuala S. Angiogennic gene therapy in cardiovascular diseases: dream or vision? Eur Heart J. 2017;38:1365–71.\nYla-Herttuala S. Cardiovascular gene therapy: past, present, and future. Mol Ther. 2017;25:1095–106.\nCurley D. Molecular imaging of cardiac remodeling after myocardial infarction. Basic Res Cardiol. 2018;113:10.\nvan Slochteren FJ. Advanced measurement techniques of regional myocardial function to assess the effects of cardiac regenerative therapy in different models of ischemic cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2012;13:808–18.\nPatel N. Contrast – in cardiac magnetic resonance imaging. Echocardiography. 2018;35:401–9.\nMavrogeni S. T1 and T2 mapping in cardiology: “mapping the obscure object of desire”. Cardiology. 2017;138:207–17.\n•• Yla-Herttuala E. Quantification of myocardial infarct area based on TRAFFn relaxation time maps – comparison with cardiovascular magnetic resonance late gadolinium enhancement, T1ρ and T2 in vivo. J Cardiovasc Magn Reson. 2018;20:34. This study provides the first myocardial infarction study in vivo done with T RAFFn relaxation time maps and those results are compared to other MRI imaging methods.\nErtl G. Healing after myocardial infarction. Cardiovasc Res. 2005;66:22–32.\nBlankesteijn WM. Dynamics of cardiac wound healing following myocardial infarction: observations in genetically altered mice. Acta Physiol Scand. 2001;173:75–82.\nGarg P. Role of T1 mapping and extracellular volume in the assessment of myocardial infarction. Anatol J Cardiol. 2018. https:\u002F\u002Fdoi.org\u002F10.14744\u002FAnatolJCardiol.2018.39586.\nBaxa J. T1 mapping of the ischemic myocardium: review of potential clinical use. Eur J Radiol. 2016;85:1322–928.\nGalli A. Postinfarct left ventricular remodeling: a prevailing cause of heart failure. Cardiol Res Pract. 2016. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2016\u002F2579832.\nPalazzuoli A. The impact if infarct size on regional and global left ventricular systolic function: a cardiac magnetic resonance imaging study. Int J Cardiovasc Imaging. 2015;5:1037–44.\nvan den Borne SW. Myocardial remodeling after infarction: the role of myofibroblasts. Nat Rev Cardiol. 2010;7:30–7.\nSaeed M. Magnetic resonance imaging for characterizing myocardial diseases. Int J Cardiovasc Imaging. 2017;33:1395–414.\nCaptur G. Cardiac MRI evaluation of myocardial disease. Heart. 2016;102:1429–35.\nPhelps ME. PET: the merging of biology and imaging into molecular imaging. J Nucl Med. 2000;41:661.\n• Apps A. Hyperpolarized magnetic resonance for in vivo real-time metabolic imaging. Heart. 2018;104:1484–91. This review article provides great overview about use of hyperpolarized MRI in vivo.\nGhosn MG. Important advances in technology and unique applications related to cardiac magnetic resonance imaging. Methodist Debakey Cardiovasc J. 2014;10:159–62.\nWhitaker J. Cardiac MR characterization of left ventricular remodeling in a swine model of infarct followed by reperfusion. J Magn Reson Imaging. 2018;48:808–17. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjmri.26005.\nKrishnamurthy R. Tools for cardiovascular magnetic resonance. Cardiovasc Diagn Ther. 2014;4:104–25.\nWong DT. The role of cardiac magnetic resonance imaging following acute myocardial infarction. Eur Radiol. 2012;22:1757–68.\nReuben MT. Distal coronary embolization following acute myocardial infarction increases early infarct size and late left ventricular wall thinning in a porcine model. J Cardiovasc Magn Reson. 2015;17:106.\nWatanabe E. Infarct tissue heterogeneity by contrast-enhanced magnetic resonance imaging is a novel predictor of mortality in patients with chronic coronary artery disease and left ventricular dysfunction. Circ Cardiovasc Imaging. 2014;7:887–94.\nPokorney SD. Infarct healing is a dynamic process following acute myocardial infarction. J Cardiovasc Magn Reson. 2012;14:62.\nMichel L. Real-time pressure-volume analysis of acute myocardial infarction in mice. J Vis Exp. 2018. https:\u002F\u002Fdoi.org\u002F10.3791\u002F57621.\nOpie LH. Controversies in ventricular remodeling. Lancet. 2006;367:356–67.\nLarroza A. Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarction. Med Phys. 2018;4:1471–80.\nPayne AR, Berry C, Kellman P, Anderson R, Hsu LY, Chen MY, et al. Bright-blood T(2)-weighted MRI has high diagnostic accuracy for myocardial hemorrhage in myocardial infarction: a preclinical validation study in swine. Circ Cardiovasc Imaging. 2011;4:738–45.\nKim HW. Dark-blood delayed enhancement cardiac magnetic resonance of myocardial infarction. JACC Cardiovasc Imaging. 2017;11:1758–69. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jcmg.2017.09.021.\nCaudron J. Evaluation of left ventricular diastolic function with cardiac MR imaging. Radiographics. 2011;31:239–59.\nShehata ML. Myocardial tissue tagging with cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2009;11:11–55.\nKhan JN. Comparison of cardiovascular magnetic resonance feature tracking and tagging for the assessment of left ventricular systolic strain in acute myocardial infarction. Eur J Radiol. 2015;84:840–8.\nFahmy AS. Grey blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of myocardial scar. J Cardiovasc Magn Reson. 2018;20:20.\nMaestrini V. T1 mapping for characterization of intracellular and extracellular myocardial diseases in heart failure. Curr Cardiovasc Imaging Rep. 2014;7:9287.\nLavin B. MRI with gadofosveset: a potential marker for permeability in myocvardial infarction. Atherosclerosis. 2018;275:400–8.\nKis E. Cardiac magnetic resonance imaging of the myocardium in chronic kidney disease. Kidney Blood Press Res. 2018;43:134–42.\nKlein C. The influence of myocardial blood flow and volume of distribution on late gd-dtpa kinetics in ischemic heart failure. J Magn Reson Imaging. 2004;20:588–93.\nRadenkovic D. T1 mapping in cardiac MRI. Heart Fail Rev. 2017;22:415–30.\nMessroghli DR. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the society for cardiovascular magnetic resonance (SCMR) endorsed by the European association for cardiovascular imaging (EACVI). J Cardiovasc Magn Reson. 2017;19:75.\nSibley CT. T1 mapping in cardiomyopathy at cardiac MR: comparison with endomyocardial biopsy. Radiology. 2012;265:724–32.\nMark Haacke E, et al. Magnetic resonance imaging, physical principles and sequence design. 1st ed. Hoboken: A John Wiley And Sons, Inc.; 1999.\nHaaf P. Cardiac T1 mapping and extracellular volume (ECV) in clinical practice: a comprehensive review. J Cardiovasc Magn Reson. 2016;18:89.\nSanz J. Myocardial mapping with cardiac magnetic resonance: the diagnostic value of novel sequences. Rev Esp Cardiol (Eng Ed). 2016;69:849–61.\nAletras AH. Retrospective determination of the area at risk for reperfused acute myocardial infarction with t2-weighted cardiac magnetic resonance imaging: histopathological and displacement encoding with stimulated echoes (dense) functional validations. Circulation. 2006;113:1865–70.\nLota AS. T2 mapping and T2* imaging in heart failure. Heart Fail Rev. 2017;22:431–40.\nGraham-Brown MP. Novel cardiac nuclear magnetic resonance method for noninvasive assessment of myocardial fibrosis in hemodialysis patients. Kidney Int. 2016;90:835–44.\nLiu D. CMR native T1 mapping allows differentiation of reversible versus irreversible myocardial damage in ST-segment–elevation myocardial infarction. Circ Cardiovasc Imaging. 2017. https:\u002F\u002Fdoi.org\u002F10.1161\u002FCIRCIMAGING.116.005986.\nTessa C. T1 and T2 mapping in the identification of acute myocardial injury in patients with NSTEMI. Radiol Med. 2018;123:926–34. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11547-018-0931-2.\nKali A. Determination of location, size, and transmurality of chronic myocardial infarction without exogenous contrast media by using cardiac magnetic resonance imaging at 3 T. Circ Cardiovasc Imaging. 2014;7:471–81.\nStoffers RH. Assessment of myocardial injury after reperfused infarction by T1r cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2017;19:17.\nJackowski C. Postmortem unenhanced magnetic resonance imaging of myocardial infarction in correlation to histological infarction age characterization. Eur Heart J. 2006;27:2459–67.\nSepponen RE. A method for T1 rho imaging. J Comput Assist Tomogr. 1985;9:1007–11.\nMustafa HS. Longitudinal rotating frame relaxation time measurements in infarcted mouse myocardium in vivo. Magn Reson Med. 2013;69:1389–95.\nvan Oorschot JWM. Endogenous assessment of chronic myocardial infarction with T1ρ-mapping in patients. J Cardiovasc Magn Reson. 2014;16:104–12.\nLiimatainen T. MRI contrasts from relaxation along a fictitious field (RAFF). Magn Reson Med. 2010;64:983–94.\n•• Liimatainen T. MRI contrasts in high rank rotating frames. Magn Reson Med. 2015;73:254–62. This study provides the theoretical background behind the T RAFFn relaxation time method.\nKettunen MI. Low spin-lock field T1 relaxation in the rotating frame as a sensitive MR imaging marker for gene therapy treatment response in rat glioma. Radiology. 2007;243:796–803.\nKhan MA. The follow-up of progressive hypertrophic cardiomyopathy using magnetic resonance rotating frame relaxation times. NMR Biomed. 2018;31. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnbm.3871.\nRider OJ. Clinical implications of cardiac hyperpolarized magnetic resonance imaging. J Cardiovasc Magn Reson. 2013;15:93.\nGolman K. Cardiac metabolism measured noninvasively by hyperpolarized 13C MRI. Magn Reson Med. 2008;59:1005–13.\nLau AZ. Reproducibility study for free-breathing measurements of pyruvate metabolism using hyperpolarized (13) C in the heart. Magn Reson Med. 2013;69:1063–71.\nMerritt ME. Hyperpolarized 13C allows a direct measure of flux through a single enzyme-catalyzed step by NMR. Proc Natl Acad Sci U S A. 2007;104:19773–7.\nAquaro GD. Cardiac metabolism in a pig model of ischemia– reperfusion by cardiac magnetic resonance with hyperpolarized 13C-Pyruvate. IJC Metab Endocr. 2015;6:17–23.\nBall DR. Metabolic imaging of acute and chronic infarction in the perfused rat heart using hyperpolarised [1-13C]pyruvate. NMR Biomed. 2013;26:1441–50.\nOh-Ici D. Hyperpolarized metabolic MR imaging of acute myocardial changes and recovery after ischemia-reperfusion in a small-animal model. Radiology. 2016;278:742–51.\nSchroeder MA. Measuring intracellular pH in the heart using hyperpolarized carbon dioxide and bicarbonate: a 13C and 31P magnetic resonance spectroscopy study. Cardiovasc Res. 2010;86:82–91.\nLau AZ. Mapping of intracellular pH in the in vivo rodent heart using hyperpolarized [1-13C]pyruvate. Magn Reson Med. 2017;77:1810–7.\nRubler S. New type of cardiomyopathy associated with diabetic glomerulosclerosis. Am J Cardiol. 1972;30:595–602.\nChong C-R. Metabolic remodelling in diabetic cardiomyopathy. Cardiovasc Res. 2017;113:422–30.\nDo HP. Non-contrast assessment of microvascular integrity using arterial spin labeled cardiovascular magnetic resonance in a porcine model of acute myocardial infarction. J Cardiovasc Magn Reson. 2018;20:45.\nMa H. Contrast-enhanced whole-heart coronary MRA at 3.0T for the evaluation of cardiac venous anatomy. Int J Cardiovasc Imaging. 2011;27:1003–9.\nNquyen C. In vivo contrast free chronic myocardial infarction characterization using diffusion-weighted cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2014;16:68.\nSosnovik DE. Diffusion spectrum MRI tractography reveals the presence of a complex network of residual myofibers in infarcted myocardium. Circ Cardiovasc Imaging. 2009;2:206–12.\nPayne AR. Bright-blood T2-weighted MRI has higher diagnostic accuracy than dark-blood short tau inversion recovery MRI for detection of acute myocardial infarction and for assessment of the ischemic area at risk and myocardial salvage. Circ Cardiovasc Imaging. 2011;4:210–9.\nArunachalam SP. Regional assessment of in vivo myocardial stiffness using 3D magnetic resonance elastography in a porcine model of myocardial infarction. Magn Reson Med. 2018;79:361–9.\nMetha NK. Utility of cardiac magnetic resonance for evaluation of mitral regurgitation prior to mitral valve surgery. J Thorac Dis. 2017;4:S246–56.\nQuarto C. Late gadolinium enhancement as a potential marker of increased perioperative risk in aortic valve replacement. Interact Cardiovasc Thorac Surg. 2012;15:45–50.\nBengel FM. Cardiac positron emission tomography. J Am Coll Cardiol. 2009;54:1–15.\nGaemperli O. Cardiac hybrid imaging. Eur Heart J Cardiovasc Imaging. 2012;13:51–60.\nJaarsma C. Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis. J Am Coll Cardiol. 2012;59:1719–28.\nSaraste A. PET: is myocardial flow quantification a clinical reality? J Nucl Cardiol. 2012;19:1044–59.\nGupta A. Integrated noninvasive physiological assessment of coronary circulatory function and impact on cardiovascular mortality in patients with stable coronary artery disease. Circulation. 2017;136:2325–36.\nNeglia D. Prognostic role of myocardial blood flow impairment in idiopathic left ventricular dysfunction. Circulation. 2002;105:186–93.\nMajmudar MD. Quantification of coronary flow reserve in patients with ischaemic and non-ischaemic cardiomyopathy and its association with clinical outcomes. Eur Heart J Cardiovasc Imaging. 2015;16:900–9.\nSchinkel AF. Hibernating myocardium: diagnosis and patient outcomes. Curr Probl Cardiol. 2007;32:375–410.\nKiugel M. Dimeric [(68)Ga]DOTA-RGD peptide targeting αvβ 3 integrin reveals extracellular matrix alterations after myocardial infarction. Mol Imaging Biol. 2014;16:793–801.\nAllman KC. Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: a meta-analysis. J Am Coll Cardiol. 2002;39:1151–8.\nBeanlands RS. F-18-Fluorodeoxyglucose positron emission tomography imaging-assisted management of patients with severe left ventricular dysfunction and suspected coronary disease a randomized, controlled trial (PARR-2). J Am Coll Cardiol. 2007;50:2002–12.\nMc Ardle B. Long-term follow-up of outcomes with F-18-fluorodeoxyglucose positron emission tomography imaging-assisted management of patients with severe left ventricular dysfunction secondary to coronary disease. Circ Cardiovasc Imaging 2016;9(9). https:\u002F\u002Fdoi.org\u002F10.1161\u002FCIRCIMAGING.115.004331.\nMielniczuk LM. Does imaging-guided selection of patients with ischemic heart failure for high risk revascularization improve identification of those with the highest clinical benefit? Imaging-guided selection of patients with ischemic heart failure for high-risk revascularization improves identification of those with the highest clinical benefit. Circ Cardiovasc Imaging. 2012;5:262–70.\nLing LF. Identification of therapeutic benefit from revascularization in patients with left ventricular systolic dysfunction: inducible ischemia versus hibernating myocardium. Circ Cardiovasc Imaging. 2013;6:363–72.\nPonikowski P. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Eur Heart J. 2016;37:2129–200.\nKnaapen P. Myocardial energetics and efficiency: current status of the noninvasive approach. Circulation. 2007;115:918–27.\nTuunanen H, Knuuti J. Metabolic remodelling in human heart failure. Cardiovasc Res. 2011;90:251–7.\nJuneau D. The role of nuclear cardiac imaging in risk stratification of sudden cardiac death. J Nucl Cardiol. 2016;23:1380–98.\nTravin MI. Current clinical applications and next steps for cardiac innervation imaging. Curr Cardiol Rep. 2017;19:1.\nJacobson AF. Myocardial iodine-123 meta-iodobenzylguanidine imaging and cardiac events in heart failure. Results of the prospective ADMIRE-HF (AdreView Myocardial Imaging for Risk Evaluation in Heart Failure) study. J Am Coll Cardiol. 2010;55:2212–21.\nNarula J. 123I-MIBG imaging for prediction of mortality and potentially fatal events in heart failure: the ADMIRE-HFX study. J Nucl Med. 2015;56:1011–8.\nFallavollita JA. Regional myocardial sympathetic denervation predicts the risk of sudden cardiac arrest in ischemic cardiomyopathy. J Am Coll Cardiol. 2014;63:141–9.\nYu M, Bozek J. Evaluation of LMI1195, a novel 18F-labeled cardiac neuronal PET imaging agent, in cells and animal models. Circ Cardiovasc Imaging. 2011;4:435–43.\nSinusas AJ. Biodistribution and radiation dosimetry of LMI1195: first-in-human study of a novel 18F-labeled tracer for imaging myocardial innervation. J Nucl Med. 2014;55:1445–51.\nSaraste A. PET imaging in heart failure: the role of new tracers. Heart Fail Rev. 2017;22:501–11.\nMeoli DF. Noninvasive imaging of myocardial angiogenesis following experimental myocardial infarction. J Clin Invest. 2004;113:1684–91.\nSun M, Opavsky MA. Temporal response and localization of integrins beta1 and beta3 in the heart after myocardial infarction: regulation by cytokines. Circulation. 2003;107:1046–52.\nVan den Borne SWM. Molecular imaging of interstitial alterations in remodeling myocardium after myocardial infarction. J Am Coll Cardiol. 2008;52:2017–28.\nHiguchi T. Assessment of alphavbeta3 integrin expression after myocardial infarction by positron emission tomography. Cardiovasc Res. 2008;78:395–403.\nSherif HM. Molecular imaging of early αvβ3 integrin expression predicts long-term left-ventricle remodeling after myocardial infarction in rats. J Nucl Med. 2012;53:318–23.\nGao H. PET imaging of angiogenesis after myocardial infarction\u002Freperfusion using a one-step labeled integrin-targeted tracer 18F-AlF-NOTA-PRGD2. Eur J Nucl Med Mol Imaging. 2012;39:683–92.\nKnetsch PA. [68Ga]NODAGA-RGD for imaging αvβ3 integrin expression. Eur J Nucl Med Mol Imaging. 2011;38:1303–12.\nLaitinen I. Comparison of cyclic RGD peptides for αvβ3 integrin detection in a rat model of myocardial infarction. EJNMMI Res. 2013;3:38.\nMenichetti L. MicroPET\u002FCT imaging of αvβ3 integrin via a novel 68Ga-NOTA-RGD peptidomimetic conjugate in rat myocardial infarction. Eur J Nucl Med Mol Imaging. 2013;40:1265–74.\nGrönman M. Imaging of αvβ3 integrin expression in experimental myocardial ischemia with [68Ga]NODAGA-RGD positron emission tomography. J Transl Med. 2017;15:144.\nJenkins WS. Cardiac αVβ3 integrin expression following acute myocardial infarction in humans. Heart. 2017;103:607–15.\nSun Y. Application of (68)Ga-PRGD2 PET\u002FCT for αvβ3-integrin imaging of myocardial infarction and stroke. Theranostics. 2014;4:778–86.\nVerjans J. Early molecular imaging of interstitial changes in patients after myocardial infarction: comparison with delayed contrast-enhanced magnetic resonance imaging. J Nucl Cardiol. 2010;17:1065–72.\nHartikainen J. Adenoviral intramyocardial VEGF-DΔNΔC gene transfer increases myocardial perfusion reserve in refractory angina patients: a phase I\u002FIIa study with 1-year follow-up. Eur Heart J. 2017;38:2547–55.\nRischpler C. Prospective evaluation of 18F-fluorodeoxyglucose uptake in postischemic myocardium by simultaneous positron emission tomography\u002Fmagnetic resonance imaging as a prognostic marker of functional outcome. Circ Cardiovasc Imaging. 2016;9:e004316.\nThackeray JT. Targeting amino acid metabolism for molecular imaging of inflammation early after myocardial infarction. Theranostics. 2016;6:1768–79.\nThackeray JT. Molecular imaging of the chemokine receptor CXCR4 after acute myocardial infarction. JACC Cardiovasc Imaging. 2015;8:1417–26.\nLapa C. [(68)Ga]Pentixafor-PET\u002FCT for imaging of chemokine receptor 4 expression after myocardial infarction. JACC Cardiovasc Imaging. 2015;8:1466–8.\nRischpler C. Upregulated myocardial CXCR4-expression after myocardial infarction assessed by simultaneous GA-68 pentixafor PET\u002FMRI. J Nucl Cardiol. 2016;23:131–3.\nNahrendorf M. Monocyte and macrophage heterogeneity in the heart. Circ Res. 2013;112:1624–33.\nFrangogiannis NG. The inflammatory response in myocardial injury, repair, and remodelling. Nat Rev Cardiol. 2014;11:255–65.\nSahul ZH. Targeted imaging of the spatial and temporal variation of matrix metalloproteinase activity in a porcine model of postinfarct remodeling: relationship to myocardial dysfunction. Circ Cardiovasc Imaging. 2011;4:381–91.\nSu H. Noninvasive targeted imaging of matrix metalloproteinase activation in a murine model of postinfarction remodeling. Circulation. 2005;112:3157–67.\nKiugel M. Evaluation of 68Ga-labeled peptide tracer for detection of gelatinase expression after myocardial infarction in rat. J Nucl Cardiol. 2018;25:1114–23.\nFukushima K. Molecular hybrid positron emission tomography\u002Fcomputed tomography imaging of cardiac angiotensin II type 1 receptors. J Am Coll Cardiol. 2012;60:2527–34.\nde Haas HJ. Molecular imaging of the cardiac extracellular matrix. Circ Res. 2014;114:903–15.",{"EN":1187},"Cardiovascular diseases are the leading cause of deaths worldwide. Many complex cellular and molecular pathways lead to myocardial remodeling after ischemic insults. Anatomy, function, and viability of the myocardium can be assessed by modern medical imaging techniques by both visualizing and quantifying damages. Novel imaging techniques aim for a precise and accurate visualization of the myocardium and for the detection of alternations at the molecular level. Magnetic resonance imaging assesses anatomy, function, and tissue characterization of the myocardium non-invasively with high spatial resolution, sensitivity, and specificity. Using hyperpolarized magnetic resonance imaging, molecular and metabolic conditions can be assessed non-invasively. Single photon-emission tomography and positron-emission tomography are the most sensitive techniques to detect biological processes in the myocardium. Cardiac perfusion, metabolism, and viability are the most common clinical targets. In addition, molecular-targeted imaging of biological processes involved in heart failure, such as myocardial innervation, inflammation, and extracellular matrix remodeling, is feasible. Novel imaging techniques can provide a precise and accurate visualization of the myocardium and for the detection of alternations at molecular level.",{"EN":1189},"Molecular Imaging to Monitor Left Ventricular Remodeling in Heart Failure",{"VOID":1191},"10.1007\u002Fs12410-019-9487-3","2024-12-19T23:41:23.956+00:00","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12410-019-9487-3",[1195,1212,1239,1266,1288],{"id":1196,"sortIndex":21,"researcher":20,"roles":1197,"affiliations":1198,"properties":1209},"5dbde307-c94f-49e4-bc02-84233abdf7f6",[193],[1199],{"id":20,"sortIndex":21,"affiliation":1200,"properties":20},{"id":1201,"createTime":1202,"updateTime":1203,"relativeEntities":1204,"slug":1205,"properties":1206,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"09f4dc62-b01d-4a8f-a39f-129046c38771","2023-12-28T06:14:42.104+00:00","2025-06-11T22:53:03.988+00:00",[],"A-I-Virtanen-Institute-for-Molecular-Sciences-University-of-Eastern-Finland-Kuopio-Finland",{"title":1207},{"VI":1208},"A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland",{"title":1210},{"VI":1211},"Elias Ylä-Herttuala",{"id":1213,"sortIndex":150,"researcher":20,"roles":1214,"affiliations":1215,"properties":1236},"9d1bc681-1ad5-44aa-8280-b7887fcb3be6",[193],[1216,1224],{"id":20,"sortIndex":21,"affiliation":1217,"properties":20},{"id":1218,"createTime":1219,"updateTime":1219,"relativeEntities":1220,"slug":20,"properties":1221,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"c9e20ebe-0cb7-42d4-a64c-7e23856d9673","2024-01-14T20:46:04.815+00:00",[],{"title":1222},{"VI":1223},"Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland",{"id":1225,"sortIndex":150,"affiliation":1226,"properties":1235},"c7fcb57f-081b-436b-86b3-df59c9402ecd",{"id":1227,"createTime":1228,"updateTime":1229,"relativeEntities":1230,"slug":1231,"properties":1232,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"69456a6a-d142-47e8-9ec3-d5b186065302","2023-11-30T22:18:28.504+00:00","2024-10-13T22:25:11.557+00:00",[],"Heart-Center-Turku-University-Hospital-Turku-Finland",{"title":1233},{"VI":1234},"Heart Center, Turku University Hospital, Turku, Finland",{},{"title":1237},{"VI":1238},"Antti Saraste",{"id":1240,"sortIndex":242,"researcher":20,"roles":1241,"affiliations":1242,"properties":1263},"90c47c20-7b24-44d4-b7c2-4717828a9d33",[193],[1243,1255],{"id":1244,"sortIndex":150,"affiliation":1245,"properties":1254},"99fae9e7-e5dc-428e-8dd0-c50de9004049",{"id":1246,"createTime":1247,"updateTime":1248,"relativeEntities":1249,"slug":1250,"properties":1251,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a7efddfe-6e4d-474f-b567-46ea01278f05","2023-12-14T05:52:49.950+00:00","2024-10-08T09:13:14.506+00:00",[],"Department-of-Diagnostic-Radiology-Oulu-University-Hospital-Oulu-Finland",{"title":1252},{"VI":1253},"Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland",{},{"id":20,"sortIndex":21,"affiliation":1256,"properties":20},{"id":1257,"createTime":1258,"updateTime":1258,"relativeEntities":1259,"slug":20,"properties":1260,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"299060ed-569e-44a4-9be6-a361c0290c71","2023-12-21T15:16:42.702+00:00",[],{"title":1261},{"VI":1262},"Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland",{"title":1264},{"VI":1265},"Timo Liimatainen",{"id":1267,"sortIndex":58,"researcher":20,"roles":1268,"affiliations":1269,"properties":1285},"7de6d2fe-3803-44fd-8631-e9e69c4dd188",[193],[1270,1280],{"id":1271,"sortIndex":150,"affiliation":1272,"properties":1279},"e563cceb-5359-43d4-9425-1b801526dc1d",{"id":1273,"createTime":1274,"updateTime":1274,"relativeEntities":1275,"slug":20,"properties":1276,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"14c3d458-4a4d-466e-9c46-dec85e010564","2024-01-27T10:19:06.899+00:00",[],{"title":1277},{"VI":1278},"Heart Center, Kuopio University Hospital, Kuopio, Finland",{},{"id":20,"sortIndex":21,"affiliation":1281,"properties":20},{"id":1201,"createTime":1202,"updateTime":1203,"relativeEntities":1282,"slug":1205,"properties":1283,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1284},{"VI":1208},{"title":1286},{"VI":1287},"Seppo Ylä-Herttuala",{"id":1289,"sortIndex":124,"researcher":20,"roles":1290,"affiliations":1291,"properties":1304},"c8ff76bb-5275-43d5-8921-51baa8cb4af1",[193],[1292,1297],{"id":20,"sortIndex":21,"affiliation":1293,"properties":20},{"id":1218,"createTime":1219,"updateTime":1219,"relativeEntities":1294,"slug":20,"properties":1295,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1296},{"VI":1223},{"id":1298,"sortIndex":150,"affiliation":1299,"properties":1303},"e337d5bc-0b60-4993-806e-e225d84bfb86",{"id":1227,"createTime":1228,"updateTime":1229,"relativeEntities":1300,"slug":1231,"properties":1301,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1302},{"VI":1234},{},{"title":1305},{"VI":1306},"Juhani Knuuti",{"url":1193,"publisher":1308,"properties":1336},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1309,"slug":10,"properties":1310,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1314,"manageAffiliations":1315,"indexDatabases":1316,"url":110,"thumbnailPath":20,"statistic":1331,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":1311,"eissn":1312,"title":1313},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1317,1324],{"id":71,"indexDatabase":1318,"url":84,"indexYears":85,"academicFieldIds":1323,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":1319,"label":1320,"description":1321,"key":81,"publicationTags":1322,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":1325,"url":107,"indexYears":20,"academicFieldIds":1330,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":1326,"label":1327,"description":1328,"key":103,"publicationTags":1329,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":1332,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":1333,"totalCitation":141,"totalCitationByYear":1334,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1335,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":1337,"pages":1338},{"VOID":746},{"VOID":1339},"1-13","2019-02-26",{"id":1342,"createTime":1343,"updateTime":1344,"relativeEntities":1345,"slug":1346,"properties":1347,"entityType":185,"verifyStatus":186,"verifyTime":1344,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1356,"fullTextUrl":20,"authors":1357,"publicationType":290,"publisherRelationship":1402,"citationCount":20,"citationInfo":20,"publishDate":1435,"publishYear":1084,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"e105c9dc-1fa4-48a2-975c-5cbc5caf46eb","2024-01-14T03:08:16.434+00:00","2025-01-07T23:39:58.444+00:00",[],"Myocardial-Fat-Imaging",{"references":1348,"abstract":1350,"title":1352,"doi":1354},{"VOID":1349},"Burke AP, Farb A, Tashko G, Virmani R: Arrhythmogenic right ventricular cardiomyopathy and fatty replacement of the right ventricular myocardium: are they different diseases? Circulation 1998, 97:1571–1580.\nCaruso G, Frassanito F, Serio G, Pennella A: Is adipose tissue a normal component of the myocardium? Eur Heart J 1989, 10(Suppl D):89–91.\nFontaine G, Fontaliran F, Zenati O, et al.: Fat in the heart. A feature unique to the human species? Observational reflections on an unsolved problem. Acta Cardiol 1999, 54:189–194.\nWiner-Muram HT, Tann M, Aisen AM, et al.: Computed tomography demonstration of lipomatous metaplasia of the left ventricle following myocardial infarction. J Comput Assist Tomogr 2004, 28:455–458.\nWu YW, Tadamura E, Yamamuro M, et al.: Identification of lipomatous metaplasia in old infarcted myocardium by cardiovascular magnetic resonance and computed tomography. Int J Cardiol 2007, 115:e15–e16.\nRobles P, Sonlleva A: Myocardial calcification and subendocardial fatty replacement of the left ventricle following myocardial infarction. Int J Cardiovasc Imaging 2007, 23:667–670.\nRaney AR, Saremi F, Kenchaiah S, et al.: Multidetector computed tomography shows intramyocardial fat deposition. J Cardiovasc Comput Tomogr 2008, 2:152–163.\nTandri H, Saranathan M, Rodriguez ER, et al.: Noninvasive detection of myocardial fibrosis in arrhythmogenic right ventricular cardiomyopathy using delayed-enhancement magnetic resonance imaging. J Am Coll Cardiol 2005, 45:98–103.\nTandri H, Castillo E, Ferrari VA, et al.: Magnetic resonance imaging of arrhythmogenic right ventricular dysplasia: sensitivity, specificity, and observer variability of fat detection versus functional analysis of the right ventricle. J Am Coll Cardiol 2006, 48:2277–2284.\nSen-Chowdhry S, Prasad SK, Syrris P, et al.: Cardiovascular magnetic resonance in arrhythmogenic right ventricular cardiomyopathy revisited: comparison with task force criteria and genotype. J Am Coll Cardiol 2006, 48:2132–2140.\n•• Kellman P, Hernando D, Shah S, et al.: Multi-echo Dixon fat and water separation method for detecting fibro-fatty infiltration in the myocardium. Magn Reson Med 2009, 61:215–221. This article describes cardiac applications for fat-water–separated imaging, methods for fat and water-separated late enhancement imaging, and comparison with conventional chemical shift fat suppression.\nGoldfarb JW: Fat-water separated delayed hyperenhanced myocardial infarct imaging. Magn Reson Med 2008, 60:503–509.\nFontaliran F, Fontaine G, Fillette F, et al.: Nosologic frontiers of arrhythmogenic dysplasia. Quantitative variations of normal adipose tissue of the right heart ventricle. Arch Mal Coeur Vaiss 1991, 84:33–38.\nShirani J, Berezowski K, Roberts WC: Quantitative measurement of normal and excessive (cor adiposum) subepicardial adipose tissue, its clinical significance, and its effect on electrocardiographic QRS voltage. Am J Cardiol 1995, 76:414–418.\nBaroldi G, Silver MD, De Maria R, et al.: Lipomatous metaplasia in left ventricular scar. Can J Cardiol 1997, 13:65–71.\nSu L, Siegel JE, Fishbein MC: Adipose tissue in myocardial infarction. Cardiovasc Pathol 2004, 13:98–102.\nMolinari G, Sardanelli F, Zandrino F, et al.: Adipose replacement and wall motion abnormalities in right ventricle arrhythmias: evaluation by MR imaging. Retrospective evaluation on 124 patients. Int J Card Imaging 2000, 16:105–115. Erratum in Int J Card Imaging 2000, 16:485.\nVignaux O, Lazarus A, Varin J, et al.: Right ventricular MR abnormalities in myotonic dystrophy and relationship with intracardiac electrophysiologic test findings: initial results. Radiology 2002, 224:231–235.\n•• Reeder SB, Markl M, Yu H, et al.: Cardiac CINE imaging with IDEAL water-fat separation and steady-state free precession. J Magn Reson Imaging 2005, 22:44–52. This article describes cardiac applications for fat-water–separated imaging.\nMcGavock JM, Victor RG, Unger RH, Szczepaniak LS: Adiposity of the heart, revisited. Ann Intern Med 2006, 144:517–524.\nden Hollander JA, Evanochko WT, Pohost GM: Observation of cardiac lipids in humans by localized 1H magnetic resonance spectroscopic imaging. Magn Reson Med 1994, 32:175–180.\nSzczepaniak LS, Dobbins RL, Metzger GJ, et al.: Myocardial triglycerides and systolic function in humans: in vivo evaluation by localized proton spectroscopy and cardiac imaging. Magn Reson Med 2003, 49:417–423.\nvan der Meer RW, Doornbos J, Kozerke S, et al.: Metabolic imaging of myocardial triglyceride content: reproducibility of 1H MR spectroscopy with respiratory navigator gating in volunteers. Radiology 2007, 245:251–257.\nMcGavock JM, Lingvay I, Zib I, et al.: Cardiac steatosis in diabetes mellitus: a 1H-magnetic resonance spectroscopy study. Circulation 2007, 116:1110–1112.\nSzczepaniak LS, Victor RG, Orci L, Unger RH: Forgotten but not gone: the rediscovery of fatty heart, the most common unrecognized disease in America. Circ Res 2007, 101:759–767.\nRijzewijk LJ, van der Meer RW, Smit JW, et al.: Myocardial steatosis is an independent predictor of diastolic dysfunction in type 2 diabetes mellitus. J Am Coll Cardiol 2008, 52:1793–1799.\nLiu CY, Redheuil A, Ouwerkerk R, et al.: Myocardial fat quantification using 2D Dixon MRI: feasibility study. J Cardiovasc Magn Reson 2009, 11(Suppl 1):107.\nDixon W: Simple proton spectroscopic imaging. Radiology 1984, 153:189–194.\n• Reeder SB, Wen Z, Yu H, et al.: Multicoil Dixon chemical species separation with an iterative least squares estimation method. Magn Reson Med 2004, 51:35–45. This article details initial development of the IDEAL algorithm for fat-water–separated imaging.\nReeder SB, Pineda AR, Wen Z, et al.: Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast-spin echo imaging. Magn Reson Med 2005, 54:636–644.\nYu H, Reeder SB, Shimakawa A, et al.: Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition. Magn Reson Med 2005, 54:1032–1039.\nHernando D, Haldar JP, Sutton BP, et al.: Joint estimation of water\u002Ffat images and field inhomogeneity map. Magn Res Med 2008, 59:571–580.\nLu W, Yu H, Shimakawa A, et al.: Water-fat separation with bipolar multiecho sequences. Magn Reson Med 2008, 60:198–209.\n• Yu H, Shimakawa A, McKenzie CA, et al.: Multiecho water fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 2008, 60:1122–1134. This article describes the importance of improved fat models on performance of fat and water separation.\n•• Hernando D, Kellman P, Haldar JP, Liang ZP: Robust water\u002Ffat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magn Reson Med 2010, 63:79–90. This article presents a robust algorithm for fat-water–separated imaging in the heart.\n• Bley TA, Wieben O, François CJ, et al.: Fat and water magnetic resonance imaging. J Magn Reson Imaging 2010, 31:4–18. This is a review of methods for fat and water imaging.\n• Liu CY, McKenzie CA, Yu H, et al.: Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med 2007, 58:354–364. This article describes important considerations for fat quantification.\nShah S, Bi X, Hernando D, et al.: Coronary MRA at 3T using 3d multi-interleaved multi-echo acquisition with varpro fat-water separation. J Cardiovasc Magn Reson 2010, 12(Suppl 1):P42\n• Pineda AR, Reeder SB, Wen Z, Pelc NJ: Cramér-Rao bounds for three-point decomposition of water and fat. Magn Reson Med 2005, 54:625–635. This article presents guidelines for selection of echo times and formulation of effective averaging.\nTaguchi R, Takasu J, Itani Y, et al.: Pericardial fat accumulation in men as a risk factor for coronary artery disease. Atherosclerosis 2001, 157:203–209.\nMacedo R, Prakasa K, Tichnell C, et al.: Marked lipomatous infiltration of the right ventricle: MRI findings in relation to arrhythmogenic right ventricular dysplasia. AJR Am J Roentgenol 2007, 188:W423–W427.\nO’Connor S, Recavarren R, Nichols LC, Parwani AV: Lipomatous hypertrophy of the interatrial septum: an overview. Arch Pathol Lab Med 2006, 130:397–399.\nJamis-Dow CA, Turner J, Biesecker LG, Choyke PL: Radiologic manifestations of Proteus syndrome. Radiographics 2004, 24:1051–1068.\nSilva MC, Meira ZM, Gurgel Giannetti J, et al.: Myocardial delayed enhancement by magnetic resonance imaging in patients with muscular dystrophy. J Am Coll Cardiol 2007, 49:1874–1879.\nPuchalski MD, Williams RV, Askovich B, et al.: Late gadolinium enhancement: precursor to cardiomyopathy in Duchenne muscular dystrophy? Int J Cardiovasc Imaging 2009, 25:57–63.\nFrankel KA, Rosser RJ: The pathology of the heart in progressive muscular dystrophy: epimyocardial fibrosis. Hum Pathol 1976, 7:375–386.\nKellman P, Hernando D, Shah S, et al.: Myocardial fibro-fatty infiltration in Duchenne muscular dystrophy canine model detected using multi-echo Dixon method of water and fat separation imaging. Proc Intl Soc Mag Reson Med 2009, 17:3762.\nBluemke DA, Krupinski EA, Ovitt T, et al.: MR imaging of arrhythmogenic right ventricular cardiomyopathy: morphologic findings and interobserver reliability. Cardiology 2003, 99:153–162.\nHunold P, Schlosser T, Vogt FM, et al.: Myocardial late enhancement in contrast-enhanced cardiac MRI: distinction between infarction scar and non-infarction-related disease. AJR Am J Roentgenol 2005, 184:1420–1426.\nKim RJ, Shah DJ, Judd RM: How we perform delayed enhancement imaging. J Cardiovasc Magn Reson 2003, 5:505–514. Erratum in J Cardiovasc Magn Reson 2003, 5:613–615.",{"EN":1351},"The presence of intramyocardial fat may form a substrate for arrhythmias, and fibrofatty infiltration of the myocardium has been shown to be associated with sudden death. Therefore, noninvasive detection could have high prognostic value. Fat-water–separated imaging in the heart by MRI is a sensitive means of detecting intramyocardial fat and characterizing fibrofatty infiltration. It is also useful in characterizing fatty tumors and delineating epicardial and\u002For pericardial fat. Multi-echo methods for fat and water separation provide a sensitive means of detecting small concentrations of fat with positive contrast and have a number of advantages over conventional chemical-shift fat suppression. Furthermore, fat and water–separated imaging is useful in resolving artifacts that may arise due to the presence of fat. Examples of fat-water–separated imaging of the heart are presented for patients with ischemic and nonischemic cardiomyopathies, as well as general tissue classification.",{"EN":1353},"Myocardial Fat Imaging",{"VOID":1355},"10.1007\u002Fs12410-010-9012-1","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-010-9012-1",[1358,1373,1390],{"id":1359,"sortIndex":21,"researcher":20,"roles":1360,"affiliations":1361,"properties":1370},"83b7df4a-8821-4d0f-8210-a25472946691",[193],[1362],{"id":20,"sortIndex":21,"affiliation":1363,"properties":20},{"id":1364,"createTime":1365,"updateTime":1365,"relativeEntities":1366,"slug":20,"properties":1367,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"3c310192-0fbf-4ffa-9a6c-3bccd37372af","2023-12-17T15:43:39.495+00:00",[],{"title":1368},{"VI":1369},"Laboratory of Cardiac Energetics, National Institutes of Health\u002FNHLBI, Bethesda, USA",{"title":1371},{"VI":1372},"Peter Kellman",{"id":1374,"sortIndex":150,"researcher":20,"roles":1375,"affiliations":1376,"properties":1387},"925f6bca-8b27-472b-a9ab-945a49d79fd0",[193],[1377],{"id":20,"sortIndex":21,"affiliation":1378,"properties":20},{"id":1379,"createTime":1380,"updateTime":1381,"relativeEntities":1382,"slug":1383,"properties":1384,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"74774dfa-6e68-4d0f-860f-8f5df7f2c661","2024-04-17T21:12:19.081+00:00","2024-12-03T18:35:10.133+00:00",[],"Beckman-Institute-for-Advanced-Science-and-Technology-University-of-Illinois-at-Urbana-Champaign-Urbana-USA",{"title":1385},{"EN":1386},"Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA",{"title":1388},{"VI":1389},"Diego Hernando",{"id":1391,"sortIndex":124,"researcher":20,"roles":1392,"affiliations":1393,"properties":1399},"9ff692ed-5ec2-435d-a35b-37173539a830",[193],[1394],{"id":20,"sortIndex":21,"affiliation":1395,"properties":20},{"id":1364,"createTime":1365,"updateTime":1365,"relativeEntities":1396,"slug":20,"properties":1397,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1398},{"VI":1369},{"title":1400},{"VI":1401},"Andrew E. Arai",{"url":1356,"publisher":1403,"properties":1431},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1404,"slug":10,"properties":1405,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1409,"manageAffiliations":1410,"indexDatabases":1411,"url":110,"thumbnailPath":20,"statistic":1426,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":1406,"eissn":1407,"title":1408},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1412,1419],{"id":71,"indexDatabase":1413,"url":84,"indexYears":85,"academicFieldIds":1418,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":1414,"label":1415,"description":1416,"key":81,"publicationTags":1417,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":1420,"url":107,"indexYears":20,"academicFieldIds":1425,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":1421,"label":1422,"description":1423,"key":103,"publicationTags":1424,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":1427,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":1428,"totalCitation":141,"totalCitationByYear":1429,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1430,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":1432,"pages":1433},{"VOID":1080},{"VOID":1434},"83-91","2010-03-11",{"id":1437,"createTime":1438,"updateTime":1439,"relativeEntities":1440,"slug":1441,"properties":1442,"entityType":185,"verifyStatus":186,"verifyTime":1439,"verifyNote":187,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1451,"fullTextUrl":20,"authors":1452,"publicationType":290,"publisherRelationship":1468,"citationCount":20,"citationInfo":20,"publishDate":1502,"publishYear":1503,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":327},"c5233a55-af16-4b08-b19d-fbf639bdba3c","2023-12-19T19:31:41.451+00:00","2025-02-20T23:38:15.466+00:00",[],"Hand-carried-cardiac-ultrasound",{"references":1443,"abstract":1445,"title":1447,"doi":1449},{"VOID":1444},"Roelandt J, Wladimiroff JW, Baars AM: Ultrasonic real time imaging with a hand-held-scanner. Part II-initial clinical experience. Ultrasound Med Biol 1978, 4:93–97.\nColetta C, De Marchis E, Lenoli M, et al.: Reliability of cardiac dimensions and valvular regurgitation assessment by sonographers using hand-carried ultrasound devices. Eur J Echo 2006, 7:275–283.\nKobal SL, Tolstrup K, Luo H, et al.: Usefulness of a hand-carried cardiac ultrasound device to detect clinically significant valvular regurgitation in hospitalized patients. Am J Cardiol 2004, 93:1069–1072.\nScholten C, Rosenhek R, Binder T, et al.: Hand-held miniaturized cardiac ultrasound instruments for rapid and effective bedside diagnosis and patient screening. J Eval Clin Pract 2005, 11:67–72.\nde Groot-de Laat LE, ten Cate FJ, Vourvouri EC, et al.: Impact of hand-carried cardiac ultrasound on diagnosis and management during cardiac consultation rounds. Eur J Echocardiogr 2005, 6:196–201.\nGiannotti G, Mondillo S, Galderisi M, et al.: Hand-held echocardiography: added value in clinical cardiological assessment. Cardiovasc Ultrasound 2005, 3:7.\nGorcsan J 3rd, Pandey P, Sade LE: Influence of hand-carried ultrasound on bedside patient treatment decisions for consultative cardiology. J Am Soc Echocardiogr 2004, 17:50–55.\nVourvouri EC, Poldermans D, Deckers JW, et al.: Evaluation of a hand carried cardiac ultrasound device in an outpatient cardiology clinic. Heart 2005, 91:171–176.\nDeCara JM, Lang RM, Koch R, et al.: The use of small personal ultrasound devices by internists without formal training in echocardiography. Eur J Echocardiography 2002, 4:141–147.\nKobal SL, Atar S, Siegel RJ: Hand-carried ultrasound improves the bedside cardiovascular examination. Chest 2004, 126:693–701.\nXie T, Chamoun AJ, McCulloch M, et al.: Rapid screening of cardiac patients with a miniaturized hand-held ultrasound imager-comparisons with physical examination and conventional two-dimensional echocardiography. Clin Cardiol 2004, 27:241–245.\nLiu SC, Chang WT, Huang CH, et al.: The value of portable ultrasound for evaluation of cardiomegaly patients presenting at the emergency department. Resuscitation 2005, 64:327–331.\nSpencer KT, Anderson AS, Bhargava A, et al.: Physicianperformed point-of-care echocardiography using a laptop platform compared with physical examination in the cardiovascular patient. J Am Coll Cardiol 2001, 37:2013–2018.\nKobal SL, Trento L, Baharami S, et al.: Comparison of effectiveness of hand-carried ultrasound to bedside cardiovascular physical examination. Am J Cardiol 2005, 96:1002–1006.\nBrennan JM, Blair JE, Goonewardena S, et al.: A comparison by medicine residents of physical examination versus handcarried ultrasound for estimation of right atrial pressure. Am J Cardiol 2007, 99:1614–1616.\nKobal SL, Czer LS, Czer PC, et al.: Making an impossible mission possible. Chest 2004, 125:293–296.\nKobal SL, Lee SS, Willner R, et al.: Hand-carried cardiac ultrasound enhances healthcare delivery in developing countries. Am J Cardiol 2004, 94:539–541.\nKirkpatrick JN, Davis A, Decara JM, et al.: Hand-carried cardiac ultrasound as a tool to screen for important cardiovascular disease in an underserved minority health care clinic. J Am Soc Echocardiogr 2004, 17:399–403.\nHuffer LL, Bauch TD, Furgerson JL, et al.: Feasibility of remote echocardiography with satellite transmission and real-time interpretation to support medical activities in the austere medical environment. J Am Soc Echocardiogr 2004, 17:670–674.\nWeston P, Alexander JH, Patel MR, et al.: Hand-held echocardiographic examination of patients with symptoms of acute coronary syndromes in the emergency department: the 30-day outcome associated with normal left ventricular wall motion. Am Heart J 2004, 148:1096–1101.\nManasia AR, Nagaraj HM, Kodali RB, et al.: Feasibility and potential clinical utility of goal-directed transthoracic echocardiography performed by noncardiologist intensivists using a small hand-carried device (SonoHeart) in critically ill patients. J Cardiothorac Vasc Anesth 2005, 19:155–159.\nVignon P, Frank MB, Lesage J, et al.: Hand-held echocardiography with Doppler capability for the assessment of critically-ill patients: is it reliable? Intensive Care Med 2004, 30:718–723.\nBrennan JM, Blair JE, Hampole C, et al.: Radial artery pulse pressure variation correlates with brachial artery peak velocity variation in ventilated subjects when measured by internal medicine residents using hand-carried ultrasound devices. Chest 2007, 131:1301–1307.\nAlexander JH, Peterson ED, Chen AY, et al.: Feasibility of point-of-care echocardiography by internal medicine house staff. Am Heart J 2004, 147:476–481.\nCroft LB, Duvall WL, Goldman ME: A pilot study of the clinical impact of hand-carried cardiac ultrasound in the medical clinic. Echocardiography 2006, 23:439–446.\nMartin LD, Howell EE, Ziegelstein RC, et al.: Hospitalist performance of cardiac hand-carried ultrasound after focused training. Am J Med 2007, 120:1000–1004.\nRoyse CF, Seah JL, Donelan L, Royse AG: Point of care ultrasound for basic hemodynamic assessment: novice compared with an expert operator. Anaesthesia 2006, 61:849–855.\nHellmann DB, Whiting-O’Keefe Q, Shapiro EP, et al.: The rate at which residents learn to use hand-held echocardiography at the bedside. Am J Med 2005, 118:1010–1018.\nKirkpatrick JN, Belka V, Furlong K, et al.: Effectiveness of echocardiographic imaging by nurses to identify left ventricular systolic dysfunction in high-risk patients. Am J Cardiol 2005, 95:1271–1272.\nKorcarz CE, Hirsch AT, Bruce C, et al.: Carotid intima-media thickness testing by non-sonographer clinicians: the office practice assessment of carotid atherosclerosis study. J Am Soc Echocardiogr 2008, 21:117–122.\nGoonewardena SN, Gemignani A, Ronan A, et al.: Comparison of BNP to handcarried ultrasound assessment of IVC size and collapsibility to predict hospital re-admission in patients with acute decompensated heart failure. J Am Coll Cardiol 2007, 49:80A.\nBrennan JM, Ronan A, Goonewardena S, et al.: Handcarried ultrasound measurement of the inferior vena cava for assessment of intravascular volume status in the outpatient hemodialysis clinic. Clin J Am Soc Nephrol 2006, 1:749–753.\nFedson S, Neithardt G, Thomas P, et al.: Unsuspected clinically important findings detected with a small portable ultrasound device in patients admitted to a general medicine service. J Am Soc Echocardiogr 2003, 16:901–905.\nVidakovic R, Feringa HH, Kuiper RJ, et al.: Comparison with computed tomography of two ultrasound devices for diagnosis of abdominal aortic aneurysm. Am J Cardiol 2007, 100:1786–1791.\nLin PH, Bush RL, McCoy SA, et al.: A prospective study of a hand-held ultrasound device in abdominal aortic aneurysm evaluation. Am J Surg 2003, 186:455–459.\nKimura BJ, Fowler SJ, Fergus TS, et al.: Detection of left atrial enlargement using hand-carried ultrasound devices to screen for cardiac abnormalities. Am J Med 2005, 118:912–916.\nVourvouri EC, Poldermans D, Schinkel AF, et al.: Left ventricular hypertrophy screening using a hand-held ultrasound device. Eur Heart J 2002, 23:1516–1521.\nSenior R, Galasko G, Hickman M, et al.: Community screening for left ventricular hypertrophy in patients with hypertension using hand-held echocardiography. J Am Soc Echocardiogr 2004, 17:56–61.\nTzou WS, Korcarz CE, Aeschlimann SE, Stein JH: Use of hand-held ultrasound by a nonsonographer clinician to measure carotid intima-media thickness. J Am Soc Echocardiogr 2006, 19:1286–1292.\nWyman RA, Gimelli G, McBride PE, et al.: Does detection of carotid plaque affect physician behavior or motivate patients? Am Heart J 2007, 154:1072–1077.\nGalasko GI, Barnes SC, Collinson P, et al.: What is the most cost-effective strategy to screen for left ventricular systolic dysfunction: natriuretic peptides, the electrocardiogram, hand-held echocardiography, traditional echocardiography, or their combination? Eur Heart J 2006, 27:193–200.\nVourvouri EC, Schinkel AF, Roelandt JR, et al.: Screening for left ventricular dysfunction using a hand-carried cardiac ultrasound device. Eur J Heart Fail 2003, 5:767–774.\nKimura BJ, Amundson SA, Willis CL, et al.: Usefulness of a hand-hold ultrasound device for bedside examination of left ventricular function. Am J Cardiol 2002, 90:1038–1039.\nGhani SN, Kirkpatrick JN, Spencer KT, et al.: Rapid assessment of left ventricular systolic function in a pacemaker clinic using a hand-carried ultrasound device. J Interv Card Electrophysiol 2006, 16:39–43.\nKimura BJ, Shaw DJ, Agan DL, et al.: Value of a cardiovascular limited ultrasound examination using a hand-carried ultrasound device on clinical management in an outpatient medical clinic. Am J Cardiol 2007, 100:321–325.\nDecara JM, Kirkpatrick JN, Spencer KT, et al.: Use of handcarried ultrasound devices to augment the accuracy of medical student bedside cardiac diagnoses. J Am Soc Echocardiogr 2005, 18:257–263.\nWittich CM, Montgomery SC, Neben MA, et al.: Teaching cardiovascular anatomy to medical students by using a handheld ultrasound device. JAMA 2002, 288:1062–1063.",{"EN":1446},"Advances in cardiac ultrasound have included the development of larger, more powerful platforms with advanced imaging features and quantitative analysis packages. However, a parallel yet polar opposite development has also occurred: the introduction of smaller, less powerful platforms with limited imaging capabilities has sparked a new genre of cardiac imaging. Several terms are used to describe these platforms. The American Society of Echocardiography Task Force on New Technology has recommended the term hand-carried cardiac ultrasound. The clinical use models for hand-carried ultrasound take advantage of their portability and ease of use compared with larger platforms. These benefits and use models are the subject of this review.",{"EN":1448},"Hand-carried cardiac ultrasound",{"VOID":1450},"10.1007\u002Fs12410-008-0011-4","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12410-008-0011-4",[1453],{"id":1454,"sortIndex":21,"researcher":20,"roles":1455,"affiliations":1456,"properties":1465},"882df69f-4de0-495a-84ba-81d02c025143",[193],[1457],{"id":20,"sortIndex":21,"affiliation":1458,"properties":20},{"id":1459,"createTime":1460,"updateTime":1460,"relativeEntities":1461,"slug":20,"properties":1462,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b42503fb-7ac0-4667-a396-709c9413a596","2023-12-12T16:04:53.469+00:00",[],{"title":1463},{"VI":1464},"University of Chicago Medical Center, Chicago, USA",{"title":1466},{"VI":1467},"Kirk T. Spencer",{"url":1451,"publisher":1469,"properties":1497},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1470,"slug":10,"properties":1471,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1475,"manageAffiliations":1476,"indexDatabases":1477,"url":110,"thumbnailPath":20,"statistic":1492,"gsStatistic":20,"type":165,"analyzePriority":20},[],{"issn":1472,"eissn":1473,"title":1474},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1478,1485],{"id":71,"indexDatabase":1479,"url":84,"indexYears":85,"academicFieldIds":1484,"indexDatabaseRanking":90},{"id":73,"createTime":74,"updateTime":75,"relativeEntities":1480,"label":1481,"description":1482,"key":81,"publicationTags":1483,"standard":20},[],{"EN":78,"VI":78},{"EN":78,"VI":80},[83],[87,88,89],{"id":92,"indexDatabase":1486,"url":107,"indexYears":20,"academicFieldIds":1491,"indexDatabaseRanking":20},{"id":94,"createTime":95,"updateTime":96,"relativeEntities":1487,"label":1488,"description":1489,"key":103,"publicationTags":1490,"standard":20},[],{"EN":99,"VI":99},{"VI":101,"EN":102},[105,106],[109],{"impactFactor":21,"impactFactorByYear":1493,"i10Index":123,"i10IndexLast5Year":124,"totalPublication":125,"totalPublicationByYear":1494,"totalCitation":141,"totalCitationByYear":1495,"totalCitationPerPublication":151,"totalCitationPerPublicationByYear":1496,"hindexLast5Year":123,"hindex":123},{"2012":113,"2013":114,"2014":113,"2015":115,"2016":116,"2017":117,"2018":118,"2019":119,"2020":120,"2021":121,"2022":122},{"2008":58,"2009":127,"2010":128,"2011":129,"2012":130,"2013":131,"2014":132,"2015":133,"2016":134,"2017":135,"2018":136,"2019":137,"2020":138,"2021":58,"2022":139,"2023":140,"2024":124},{"2008":143,"2009":133,"2010":139,"2011":144,"2012":145,"2013":129,"2014":146,"2015":147,"2016":137,"2017":123,"2018":136,"2019":148,"2020":149,"2023":150},{"2008":153,"2009":154,"2010":155,"2011":156,"2012":157,"2013":158,"2014":159,"2015":160,"2016":161,"2017":162,"2018":150,"2019":163,"2020":164,"2023":118},{"volume":1498,"pages":1500},{"VOID":1499},"1",{"VOID":1501},"66-71","2009-02-15",2009]