Multispectral optoacoustic tomography of lipid and hemoglobin contrast in human carotid atherosclerosis

Photoacoustics - Tập 23 - Trang 100283 - 2021
Angelos Karlas1,2,3,4, Michael Kallmayer3, Michael Bariotakis1,2, Nikolina-Alexia Fasoula1,2, Evangelos Liapis1,2, Fabien Hyafil5,6, Jaroslav Pelisek3,7, Moritz Wildgruber8, Hans-Henning Eckstein3,4, Vasilis Ntziachristos1,2,4
1Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
2Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
3Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
4DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
5INSERM U1148, Laboratory for Vascular Translational Science (LVTS), DHU FIRE, University de Paris, Paris, France
6Department of Nuclear Medicine, Bichat University Hospital, Assistance-Publique-Hôpitaux de Paris, Paris, France
7Department of Vascular Surgery, University Hospital Zurich, Zurich, Switzerland
8Department of Radiology, University Hospital, LMU Munich, Munich, Germany

Tài liệu tham khảo

Saxena, 2019, Imaging modalities to diagnose carotid artery stenosis: progress and prospect, Biomed. Eng. Online, 18, 10.1186/s12938-019-0685-7 Piri, 2019, Molecular imaging of carotid artery atherosclerosis with PET: a systematic review, Eur. J. Nucl. Med. Mol. Imaging Naghavi, 2003, From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: part I, Circulation, 108, 1664, 10.1161/01.CIR.0000087480.94275.97 Meloni, 2017, Contrast agents for cardiovascular magnetic resonance imaging: an overview, J. Mater. Chem. B, 5, 5714, 10.1039/C7TB01241A Edelstein, 2010, MRI: time is dose--and money and versatility, J. Am. Coll. Radiol., 7, 650, 10.1016/j.jacr.2010.05.002 Mohammadshahi, 2019, Cost effectiveness of mobile versus fixed computed tomography and magnetic resonance imaging: a systematic review, Iran. J. Public Health, 48, 1418 Karlas, 2017, Flow-mediated dilatation test using optoacoustic imaging: a proof-of-concept, Biomed. Opt. Express, 8, 3395, 10.1364/BOE.8.003395 Yang, 2020, Soft ultrasound priors in optoacoustic reconstruction: improving clinical vascular imaging, Photoacoustics, 19, 100172, 10.1016/j.pacs.2020.100172 Karlas, 2020, Multispectral optoacoustic tomography of muscle perfusion and oxygenation under arterial and venous occlusion - a human pilot study, J. Biophotonics Regensburger, 2019, Detection of collagens by multispectral optoacoustic tomography as an imaging biomarker for Duchenne muscular dystrophy, Nat. Med., 25, 1905, 10.1038/s41591-019-0669-y Karlas, 2021, Multispectral optoacoustic tomography of peripheral arterial disease based on muscle hemoglobin gradients-a pilot clinical study, Ann. Transl. Med., 9, 36, 10.21037/atm-20-3321 Reber, 2018, Non-invasive measurement of brown fat metabolism based on optoacoustic imaging of hemoglobin gradients, Cell Metab., 27, 689, 10.1016/j.cmet.2018.02.002 Karlas, 2019, Multispectral optoacoustic tomography of brown adipose tissue, Handb. Exp. Pharmacol., 251, 325, 10.1007/164_2018_141 Fasoula, 2021, Multicompartmental non-invasive sensing of postprandial lipemia in humans with multispectral optoacoustic tomography, Mol. Metab., 101184, 10.1016/j.molmet.2021.101184 Karlas, 2021, Optoacoustic imaging in endocrinology and metabolism, Nat. Rev. Endocrinol. Karlas, 2019, Cardiovascular optoacoustics: from mice to men - a review, Photoacoustics, 14, 19, 10.1016/j.pacs.2019.03.001 Chowdhury, 2020, A synthetic total impulse response characterization method for correction of hand-held optoacoustic images, IEEE Trans. Med. Imaging Razansky, 2012, Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques, Mol. Imaging Biol., 14, 277, 10.1007/s11307-011-0502-6 Seeger, 2016, Multimodal optoacoustic and multiphoton microscopy of human carotid atheroma, Photoacoustics, 4, 102, 10.1016/j.pacs.2016.07.001 Song, 2020, Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study, Lancet Glob. Health, 8, e721, 10.1016/S2214-109X(20)30117-0 Stary, 1995, A definition of advanced types of atherosclerotic lesions and a histological classification of atherosclerosis: a report from the committee on vascular lesions of the council on arteriosclerosis, American Heart Association, Circulation, 92, 1355, 10.1161/01.CIR.92.5.1355 Chlis, 2020, A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography, Photoacoustics, 20, p. 100203, 10.1016/j.pacs.2020.100203