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Quantitative assessment of atherosclerotic plaque, recent progress and current limitations.

Authors :
Williams MC
Earls JP
Hecht H
Source :
Journal of cardiovascular computed tomography [J Cardiovasc Comput Tomogr] 2022 Mar-Apr; Vol. 16 (2), pp. 124-137. Date of Electronic Publication: 2021 Jul 16.
Publication Year :
2022

Abstract

An important advantage of computed tomography coronary angiography (CCTA) is its ability to visualize the presence and severity of atherosclerotic plaque, rather than just assessing coronary artery stenoses. Until recently, assessment of plaque subtypes on CCTA relied on visual assessment of the extent of calcified/non-calcified plaque, or visually identifying high-risk plaque characteristics. Recent software developments facilitate the quantitative assessment of plaque volume or burden on CCTA, and the identification of subtypes of plaque based on their attenuation density. These techniques have shown promise in single and multicenter studies, demonstrating that the amount and type of plaque are associated with subsequent cardiac events. However, there are a number of limitations to the application of these techniques, including the limitations imposed by the spatial resolution of current CT scanners, challenges from variations between reconstruction algorithms, and the additional time to perform these assessments. At present, these are a valuable research technique, but not yet part of routine clinical practice. Future advances that improve CT resolution, standardize acquisition techniques and reconstruction algorithms and automate image analysis will improve the clinical utility of these techniques. This review will discuss the technical aspects of quantitative plaque analysis and present pro and con arguments for the routine use of quantitative plaque analysis on CCTA.<br />Competing Interests: Declaration of competing interest JPE Equity and Consultant, Cleerly Healthcare Inc. The other authors have no conflicts of interest.<br /> (Copyright © 2021 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1876-861X
Volume :
16
Issue :
2
Database :
MEDLINE
Journal :
Journal of cardiovascular computed tomography
Publication Type :
Academic Journal
Accession number :
34326003
Full Text :
https://doi.org/10.1016/j.jcct.2021.07.001