Coronary plaque features on CTA can identify patients at increased risk of cardiovascular events

医学 血管内超声 冠状动脉疾病 冠状动脉粥样硬化 心脏病学 易损斑块 内科学 心血管事件 放射科 疾病
作者
Daniele Andreini,Edoardo Conte,Patrick W. Serruys
出处
期刊:Current Opinion in Cardiology [Lippincott Williams & Wilkins]
卷期号:36 (6): 784-792 被引量:15
标识
DOI:10.1097/hco.0000000000000917
摘要

Purpose of review Multicenter studies showed that the characterization of coronary atherosclerosis by coronary computed tomography (CT) angiography (CCTA) provides independent and incremental prognostic value above and beyond traditional measures of coronary artery disease (CAD) and is able to identify patients at risk of future event. Aim of the present review is to expound the major imaging plaque features associated with increased risk of coronary event and to review the data supporting the usefulness of CCTA as tool for plaque assessment and for monitoring the changes in atherosclerotic burden. Recent findings The evaluation of coronary atherosclerosis, including the measurement of imaging risk scores (e.g. CT-adapted Leaman score) was demonstrated as independent long-term predictor of acute coronary events. In particular, qualitative (remodelling index, low-attenuation plaque, napkin-ring sign, small spotty calcifications) and quantitative (plaque burden, total-, noncalcific- and fibrofatty plaque volume) plaque features were associated with increased risk. CCTA was also demonstrated to accurately quantify plaque volume vs. intravascular ultrasound and findings from PARADIGM and EVAPORATE studies supported the use of CCTA as noninvasive tool to follow the effect of medication on plaque progression/regression. Finally, interesting relationship between plaque features, coronary physiology and biomarkers have been described. Summary Latest guidelines on the management of patients with stable CAD recommended CCTA in Class I of evidence, particularly when ‘information on atherosclerosis are desired’, underlining the usefulness of CCTA to characterize and quantify the atherosclerotic burden.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Tanxaio发布了新的文献求助10
1秒前
liucheng完成签到,获得积分20
2秒前
3秒前
华仔应助bio_lunar采纳,获得10
3秒前
3秒前
4秒前
qinxue发布了新的文献求助10
6秒前
科研通AI6.3应助阿鹿462采纳,获得10
7秒前
上官若男应助无辜群众采纳,获得10
7秒前
传奇3应助SCI发发采纳,获得10
8秒前
难过花瓣发布了新的文献求助10
8秒前
10秒前
RPG瑞发布了新的文献求助10
11秒前
吴兰田发布了新的文献求助30
11秒前
tangzhidi发布了新的文献求助10
12秒前
未雨完成签到 ,获得积分10
12秒前
13秒前
李小小关注了科研通微信公众号
14秒前
WuCola发布了新的文献求助10
14秒前
Jasper应助隐世求开采纳,获得10
14秒前
16秒前
清爽梦山完成签到,获得积分10
16秒前
River完成签到,获得积分10
17秒前
RPG瑞完成签到,获得积分10
20秒前
自然角发布了新的文献求助10
20秒前
adydcm完成签到 ,获得积分10
20秒前
likw23完成签到,获得积分10
21秒前
无辜群众发布了新的文献求助10
21秒前
22秒前
23秒前
24秒前
24秒前
bio_lunar发布了新的文献求助10
25秒前
27秒前
科研通AI6.3应助lei采纳,获得10
27秒前
孟一完成签到,获得积分10
27秒前
汉堡包应助安详岱周采纳,获得10
27秒前
28秒前
ztl17523发布了新的文献求助10
28秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251965
求助须知:如何正确求助?哪些是违规求助? 8874421
关于积分的说明 18731916
捐赠科研通 6931932
什么是DOI,文献DOI怎么找? 3199585
关于科研通互助平台的介绍 2374362
邀请新用户注册赠送积分活动 2174123