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冠状动脉CT用于主要不良心血管事件（MACE）风险预测的研究进展

Current Progress of Studies of Coronary CT for Risk Prediction of Major Adverse Cardiovascular Event (MACE).

作者信息

Zheng Jianan, Lu Bin

机构信息

Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

J Cardiovasc Imaging. 2021 Oct;29(4):301-315. doi: 10.4250/jcvi.2021.0016.

DOI:10.4250/jcvi.2021.0016
PMID:34719895
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8592676/
Abstract

Cardiovascular disease is a serious threat to human health, and early risk prediction of major adverse cardiovascular event in people suspected of coronary heart disease can help guide prevention and clinical decisions. Coronary computed tomography (CT) is a useful imaging tool for evaluation of coronary heart disease, and its ability to reflect coronary atherosclerosis shows potential value for risk prediction. In recent years, various new techniques and studies of coronary CT have emerged for risk prediction of major adverse cardiovascular event in people suspected of coronary heart disease. We will review the background and current study advances of using coronary artery calcium score, coronary CT angiography, and artificial intelligence in this field.

摘要

心血管疾病是对人类健康的严重威胁，对疑似冠心病患者的主要不良心血管事件进行早期风险预测有助于指导预防和临床决策。冠状动脉计算机断层扫描（CT）是评估冠心病的一种有用的成像工具，其反映冠状动脉粥样硬化的能力在风险预测方面显示出潜在价值。近年来，出现了各种用于疑似冠心病患者主要不良心血管事件风险预测的冠状动脉CT新技术和研究。我们将综述在该领域使用冠状动脉钙化积分、冠状动脉CT血管造影和人工智能的背景及当前研究进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1087/8592676/0a933db07304/jcvi-29-301-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1087/8592676/276e07c07b1f/jcvi-29-301-g002.jpg
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