Imaging cardiac fat by cardiovascular magnetic resonance – A state-of-the art review

IF 2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Franca Morselli , Iain Pierce , Matthew Webber , Debbie Falconer , Alun D. Hughes , Michele Orini , Pier D. Lambiase , James C. Moon , Gabriella Captur
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引用次数: 0

Abstract

Myocardial fat infiltration may represent a substrate for ventricular arrhythmias, and its presence has been associated with increased risk for sudden cardiac death in both ischaemic and non-ischaemic cardiomyopathies. Epicardial and pericardial adiposity has also been linked with adverse cardiovascular outcomes. Fat-water separation (FWS) is an advanced magnetic resonance imaging technique enabling for visualisation and quantification of lipid content within the myocardium, and it can also identify fat-containing neoplasms, discriminate epicardial and pericardial fat, and characterise pericardial disease. Methods for FWS have improved significantly over the years, with resulting optimisation of cardiac and extracardiac fat imaging, and resolution of artifacts that may arise from the presence of fat. This review covers the physics underlying FWS imaging technique, its evolution, the practical aspects of sequence acquisition, clinical applications, and future directions.
通过心血管磁共振成像心脏脂肪-一项最新的综述。
心肌脂肪浸润可能是室性心律失常的基础,它的存在与缺血性和非缺血性心肌病心源性猝死的风险增加有关。心外膜和心包肥胖也与不良心血管结局有关。脂水分离(FWS)是一种先进的磁共振成像技术,能够可视化和量化心肌内的脂质含量,它还可以识别含脂肿瘤,区分心外膜和心包脂肪,并表征心包疾病。多年来,FWS的方法有了显著的改进,心脏和心外脂肪成像的优化,以及脂肪存在可能引起的伪影的分辨率。本文综述了FWS成像技术的物理基础、发展、序列获取的实际方面、临床应用和未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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