Manubolu Venkat S, Roy Sion K, Budoff Matthew J
Lundquist Institute, Department of Cardiology, Torrance, CA, USA.
Curr Cardiovasc Imaging Rep. 2022 Feb;15(2). doi: 10.1007/s12410-022-09564-y. Epub 2022 Feb 9.
To provide an update and to outline the status of coronary computer tomography angiography (CCTA) in evaluation of coronary plaques and discuss the relevance of serial CCTA in guiding cardiovascular risk stratification and anti- atherosclerotic medical therapy.
Coronary CTA is now the imaging modality of choice in monitoring changes in coronary plaque. It has been used in innumerable clinical trials which have demonstrated the benefits of several therapeutic agents and has excellent correlation with previously used invasive imaging modalities. It is safe, fast, less cumbersome, and a cost-effective testing method compared to other invasive imaging modalities for coronary plaque analysis.
The emergence of a noninvasive imaging modality such as CCTA, now permits quantification not only of plaque burden but also allows for further distinction of plaque components and identification of vulnerable plaques. Application of these findings continues to extend the prospect of coronary CTA in evaluation and management of atherosclerotic coronary artery disease (CAD) in clinical practice. In the future artificial intelligence and machine learning will play a significant role in plaque analysis allowing for high accuracy and reproducibility which will lead to a substantial increase in the utilization of coronary CTA.
提供冠状动脉计算机断层扫描血管造影(CCTA)在评估冠状动脉斑块方面的最新进展并概述其现状,讨论连续CCTA在指导心血管风险分层和抗动脉粥样硬化药物治疗中的相关性。
冠状动脉CTA现已成为监测冠状动脉斑块变化的首选成像方式。它已用于无数临床试验,这些试验证明了几种治疗药物的益处,并且与先前使用的侵入性成像方式具有极好的相关性。与其他用于冠状动脉斑块分析的侵入性成像方式相比,它安全、快速、操作简便且具有成本效益。
诸如CCTA这样的非侵入性成像方式的出现,现在不仅允许对斑块负荷进行量化,还能进一步区分斑块成分并识别易损斑块。这些发现的应用继续拓展了冠状动脉CTA在临床实践中评估和管理动脉粥样硬化性冠状动脉疾病(CAD)的前景。未来,人工智能和机器学习将在斑块分析中发挥重要作用,实现高精度和可重复性,这将导致冠状动脉CTA的利用率大幅提高。