@article{a2ff6033ed684ba9ab7117f7ce16ee5b,
title = "Noninvasive Imaging to Assess Atherosclerotic Plaque Composition and Disease Activity: Coronary and Carotid Applications",
abstract = "Cardiovascular disease is one of the leading causes of mortality and morbidity worldwide. Atherosclerosis imaging has traditionally focused on detection of obstructive luminal stenoses or measurements of plaque burden. However, with advances in imaging technology it has now become possible to noninvasively interrogate plaque composition and disease activity, thereby differentiating stable from unstable patterns of disease and potentially improving risk stratification. This manuscript reviews multimodality imaging in this field, focusing on carotid and coronary atherosclerosis and how these novel techniques have the potential to complement current imaging assessments and improve clinical decision making.",
keywords = "atherosclerosis, plaque burden, positron emission tomography, vulnerable plaque",
author = "Marwa Daghem and Rong Bing and Fayad, {Zahi A.} and Dweck, {Marc R.}",
note = "Funding Information: The authors thank Mr. Jakub Kaczynski and Dr. Michelle Williams (British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh) for their contributions to the development of Figures 2 and 3. Funding Information: Dr. Fayad is supported by National Institutes of Health/National Heart, Lung, and Blood Institute P01 HL131478, R01 HL071021, R01 HL128056, R01HL135878, R01HL144072, and R01HL143814; National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering R01 EB009638; and American Heart Association (14SFRN20780005). Dr. Dweck is supported by the Sir Jules Thorn Biomedical Research Award 2015 (15/JTA) and by the British Heart Foundation (FS/14/78/31020). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. Publisher Copyright: {\textcopyright} 2020 The Authors",
year = "2020",
month = apr,
doi = "10.1016/j.jcmg.2019.03.033",
language = "English",
volume = "13",
pages = "1055--1068",
journal = "JACC: Cardiovascular Imaging",
issn = "1936-878X",
publisher = "Elsevier Inc.",
number = "4",
}