A review of lung cancer screening and the role of computer-aided detection
Tóm tắt
Từ khóa
Tài liệu tham khảo
World Health Organization, 2013
World Health Organization, 2014
Henschke, 2006, Survival of patients with stage I lung cancer detected on CT screening, N Engl J Med, 355, 1763, 10.1056/NEJMoa060476
Neroladaki, 2013, Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations, Eur Radiol, 23, 360, 10.1007/s00330-012-2627-7
Gould, 2013, Evaluation of individuals with pulmonary nodules: when is it lung cancer?: Diagnosis and management of lung cancer: American College of Chest Physicians evidence-based clinical practice guidelines, Chest J, 143, e93S, 10.1378/chest.12-2351
Carlile, 2015, Lung cancer screening: where have we been? Where are we going?, J Oklahoma State Med Assoc., 108, 14
Wormanns, 2005, Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT, Eur Radiol, 15, 14, 10.1007/s00330-004-2527-6
Nagatani, 2015, Eur J Radiol
Gorycki, 2014, Evaluation of radiation doses delivered in different chest CT protocols, Pol J Radiol, 79, 1, 10.12659/PJR.889952
Demir, 2015, Computer-aided detection of lung nodules using outer surface features, BioMed Mater Eng, 26, 1213
Rubin, 2005, Pulmonary nodules on multidetector row CT scans: performance comparison of radiologists and computer-aided detection, Radiology, 234, 274, 10.1148/radiol.2341040589
Bogoni, 2012, Impact of a computer-aided detection (CAD) system integrated into a picture archiving and communication system (PACS) on reader sensitivity and efficiency for the detection of lung nodules in thoracic CT exams, J Digit Imaging, 25, 771, 10.1007/s10278-012-9496-0
Matsumoto, 2013, Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: a comparative study, Eur J Radiol, 82, 1332, 10.1016/j.ejrad.2013.02.005
Li, 2002, Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings, Radiology, 225, 673, 10.1148/radiol.2253011375
McCreadie, 2009, Eight CT lessons that we learned the hard way: an analysis of current patterns of radiological error and discrepancy with particular emphasis on CT, Clin Radiol, 64, 491, 10.1016/j.crad.2008.12.010
Castellino, 2005, Computer aided detection (CAD): an overview, Cancer Imaging, 5, 17, 10.1102/1470-7330.2005.0018
Wormanns, 2002, Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system, Eur Radiol, 12, 1052, 10.1007/s003300101126
Brown, 2003, Lung micronodules: automated method for detection at thin-section CT—initial experience, Radiology, 226, 256, 10.1148/radiol.2261011708
Armato, 2002, Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program, Radiology, 225, 685, 10.1148/radiol.2253011376
Murphy, 2007, Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features, Med Imaging, 10.1117/12.713370
Frost, 1984, Early lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in The Johns Hopkins Study 1–3, Am Rev Resp Dis, 130, 549
Melamed, 1984, Screening for early lung cancer. Results of the Memorial Sloan-Kettering study in New York, Chest J, 86, 44, 10.1378/chest.86.1.44
Fontana, 1984, Early lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Mayo Clinic study, Am Rev Resp Dis, 130, 561
Kubik, 1986, Lung cancer detection results of a randomized prospective study in Czechoslovakia, Cancer, 57, 2427, 10.1002/1097-0142(19860615)57:12<2427::AID-CNCR2820571230>3.0.CO;2-M
Strauss, 1997, Screening for lung cancer: another look; a different view, Chest J, 111, 754, 10.1378/chest.111.3.754
Fontana, 1986, Lung cancer screening: the Mayo program, J Occupat Environ Med, 28, 746, 10.1097/00043764-198608000-00038
Bach, 2007, Computed tomography screening and lung cancer outcomes, JAMA, 297, 953, 10.1001/jama.297.9.953
Blanchon, 2007, Baseline results of the Depiscan study: a French randomized pilot trial of lung cancer screening comparing low dose CT scan (LDCT) and chest X-ray (CXR), Lung Cancer, 58, 50, 10.1016/j.lungcan.2007.05.009
Infante, 2009, A randomized study of lung cancer screening with spiral computed tomography: three-year results from the DANTE trial, Am J Resp Crit Care Med, 180, 445, 10.1164/rccm.200901-0076OC
Pegna, 2009, Design, recruitment and baseline results of the ITALUNG trial for lung cancer screening with low-dose CT, Lung Cancer, 64, 34, 10.1016/j.lungcan.2008.07.003
Team NLSTR, 2011, Reduced lung-cancer mortality with low-dose computed tomographic screening, N Engl J Med, 365, 395, 10.1056/NEJMoa1102873
Saghir, 2012, CT screening for lung cancer brings forward early disease. The randomised Danish Lung Cancer Screening Trial: status after five annual screening rounds with low-dose CT, Thorax, 67, 296, 10.1136/thoraxjnl-2011-200736
Pastorino, 2012, Annual or biennial CT screening versus observation in heavy smokers: 5-year results of the MILD trial, Eur J Cancer Prevent, 21, 308, 10.1097/CEJ.0b013e328351e1b6
Field, 2015, UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening, Thorax
McKee, 2015, Experience with a CT screening program for individuals at high risk for developing lung cancer, J Am Coll Radiol, 12, 192, 10.1016/j.jacr.2014.08.002
Armato, 2009, Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of “truth”, Acad Radiol, 16, 28, 10.1016/j.acra.2008.05.022
Radiology ACo, 2014
Pinsky, 2015, Performance of Lung-RADS in the National Lung Screening Trial: a retrospective assessment, Ann Intern Med, 162, 485, 10.7326/M14-2086
Borgstede, 2004, RADPEER quality assurance program: a multifacility study of interpretive disagreement rates, J Am Coll Radiol, 1, 59, 10.1016/S1546-1440(03)00002-4
Lee, 2013, Cognitive and system factors contributing to diagnostic errors in radiology, AJR Am J Roentgenol, 201, 611, 10.2214/AJR.12.10375
Tehrani, 2013, 25-Year summary of US malpractice claims for diagnostic errors 1986–2010: an analysis from the National Practitioner Data Bank, BMJ Qual Safe, 22, 672, 10.1136/bmjqs-2012-001550
Romano, 2012
Mazzei, 2015, Errors in multidetector row computed tomography, Radiol Med, 120, 785, 10.1007/s11547-015-0558-5
Kundel, 1978, Visual scanning, pattern recognition and decision-making in pulmonary nodule detection, Invest Radiol, 13, 175, 10.1097/00004424-197805000-00001
Graber, 2005, Diagnostic error in internal medicine, Arch Intern Med, 165, 1493, 10.1001/archinte.165.13.1493
Kakinuma, 1999, Detection failures in spiral CT screening for lung cancer: analysis of CT findings, Radiology, 212, 61, 10.1148/radiology.212.1.r99jn1461
Team NLSTR, 2013, Results of initial low-dose computed tomographic screening for lung cancer, N Engl J Med, 2013, 1980
Rubin, 2014, Characterizing search, recognition, and decision in the detection of lung nodules on CT scans: elucidation with eye tracking, Radiology, 274, 276, 10.1148/radiol.14132918
Roos, 2010, Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance, Eur Radiol, 20, 549, 10.1007/s00330-009-1596-y
Zhao, 2012, Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume, Eur Radiol, 22, 2076, 10.1007/s00330-012-2437-y
Quekel, 2001, Detection of lung cancer on the chest radiograph: impact of previous films, clinical information, double reading, and dual reading, J Clin Epidemiol, 54, 1146, 10.1016/S0895-4356(01)00382-1
Giger, 1988, Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields, Med Phys, 15, 158, 10.1118/1.596247
Doi, 1990
Firmino, 2014, Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects, Biomed Eng Online, 13, 1, 10.1186/1475-925X-13-41
El-Baz, 2011
van Ginneken, 2011, Computer-aided diagnosis: how to move from the laboratory to the clinic, Radiology, 261, 719, 10.1148/radiol.11091710
Yuan, 2006, Computer-aided detection in screening CT for pulmonary nodules, AJR Am J Roentgenol, 186, 1280, 10.2214/AJR.04.1969
Lee, 2005, Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system, Korea J Radiol, 6, 89, 10.3348/kjr.2005.6.2.89
Jacobs, 2015, Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database, Eur Radiol, 1
Liang, 2016, Low-dose CT screening for lung cancer: computer-aided detection of missed lung cancers, Radiology, 150063
Fraioli, 2007, Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance, J Thorac Imaging, 22, 241, 10.1097/RTI.0b013e318033aae8
Armato, 2001, Automated detection of lung nodules in CT scans: preliminary results, Med Phys, 28, 1552, 10.1118/1.1387272
Gurcan, 2002, Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system, Med Phys, 29, 2552, 10.1118/1.1515762
Ye, 2009, Shape-based computer-aided detection of lung nodules in thoracic CT images, IEEE Trans Biomed Eng, 56, 1810, 10.1109/TBME.2009.2017027
Kumar, 2011, Robust and automated lung nodule diagnosis from CT images based on fuzzy systems, 1
Tan, 2011, A novel computer-aided lung nodule detection system for CT images, Med Phys, 38, 5630, 10.1118/1.3633941
Teramoto, 2013, Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter, Int J Comp Assist Radiol Surg, 8, 193, 10.1007/s11548-012-0767-5
Torres, 2015, Large scale validation of the M5L lung CAD on heterogeneous CT datasets, Med Phys, 42, 1477, 10.1118/1.4907970
Ko, 2001, Chest CT: automated nodule detection and assessment of change over time—preliminary experience, Radiology, 218, 267, 10.1148/radiology.218.1.r01ja39267
Bae, 2005, Pulmonary nodules: automated detection on ct images with morphologic matching algorithm—preliminary results, Radiology, 236, 286, 10.1148/radiol.2361041286
Messay, 2010, A new computationally efficient CAD system for pulmonary nodule detection in CT imagery, Med Image Anal, 14, 390, 10.1016/j.media.2010.02.004
Cascio, 2012, Automatic detection of lung nodules in CT datasets based on stable 3D mass–spring models, Comput Biol Med, 42, 1098, 10.1016/j.compbiomed.2012.09.002
Bellomi, 2012, A classification of pulmonary nodules by CT scan, Ecancermedicalscience, 6, 260
Giger, 1994, Computerized detection of pulmonary nodules in computed tomography images, Invest Radiol, 29, 459, 10.1097/00004424-199404000-00013
Armato, 1999, Computerized detection of pulmonary nodules on CT scans, RadioGraphics, 19, 1303, 10.1148/radiographics.19.5.g99se181303
Armato, 2003, Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm, Med Phys, 30, 461, 10.1118/1.1544679
Suzuki, 2003, Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography, Med Phys, 30, 1602, 10.1118/1.1580485
Awai, 2004, Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists’ detection performance, Radiology, 230, 347, 10.1148/radiol.2302030049
Kim, 2005, Automated detection of pulmonary nodules on CT images: effect of section thickness and reconstruction interval—initial results, Radiology, 236, 295, 10.1148/radiol.2361041288
Marten, 2005, Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance, Clin Radiol, 60, 196, 10.1016/j.crad.2004.05.014
Qian, 2002, Knowledge-based automatic detection of multitype lung nodules from multidetector CT studies, Med Imaging, 689
White, 2008, Lung nodule CAD software as a second reader: a multicenter study, Acad Radiol, 15, 326, 10.1016/j.acra.2007.09.027
Hein, 2009, Computer-aided pulmonary nodule detection-performance of two CAD systems at different CT dose levels, RoFo: Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin, 181, 1056, 10.1055/s-0028-1109394
Bodelle, 2013, 70 kV computed tomography of the thorax: valence for computer-assisted nodule evaluation and radiation dose—first clinical results, Acta Radiol
van Ginneken, 2010, Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study, Med Image Anal, 14, 707, 10.1016/j.media.2010.05.005
Setio, 2015, Automatic detection of large pulmonary solid nodules in thoracic CT images, Med Phys, 42, 5642, 10.1118/1.4929562
El-Baz, 2013, Computer-aided diagnosis systems for lung cancer: challenges and methodologies, Int J Biomed Imaging, 2013, 10.1155/2013/942353
Das, 2014, Performance evaluation of a computer-aided detection algorithm for solid pulmonary nodules in low-dose and standard-dose MDCT chest examinations and its influence on radiologists, Br J Radiol
The Cancer Imaging Archive. TCIA collections. Available at: http://www.cancerimagingarchive.net/. Accessed 02.08.2016.
Marten, 2004, Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists, Eur Radiol, 14, 1930, 10.1007/s00330-004-2389-y
Sahiner, 2009, Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size, Acad Radiol, 16, 1518, 10.1016/j.acra.2009.08.006
Jeon, 2012, Computer-aided nodule detection and volumetry to reduce variability between radiologists in the interpretation of lung nodules at low-dose screening CT, Invest Radiol, 47, 457, 10.1097/RLI.0b013e318250a5aa
Iwasawa, 2015, A comparison of axial versus coronal image viewing in computer-aided detection of lung nodules on CT, Japan J Radiol, 33, 76, 10.1007/s11604-014-0383-0
Fraioli, 2004, Evaluation of effectiveness of a computer system (CAD) in the identification of lung nodules with low-dose MSCT: scanning technique and preliminary results, Radiol Med, 109, 40
Nietert, 2011, Influence of nodule detection software on radiologists’ confidence in identifying pulmonary nodules with computed tomography, J Thorac Imaging, 26, 48, 10.1097/RTI.0b013e3181d73a8f