Beyond the Agatston calcium score: role of calcium density and other calcified plaque markers for cardiovascular disease prediction

医学 钙化积分 冠状动脉钙 亚临床感染 冠状动脉钙评分 风险评估 内科学 疾病 心脏病学 计算机安全 计算机科学
作者
Alexander C. Razavi,Seamus P. Whelton,Roger S. Blumenthal,Michael J. Blaha,Omar Dzaye
出处
期刊:Current Opinion in Cardiology [Lippincott Williams & Wilkins]
标识
DOI:10.1097/hco.0000000000001185
摘要

Purpose of review To review the current evidence and highlight future strategies regarding consideration of coronary artery calcium (CAC) density in cardiovascular disease (CVD) risk stratification. Recent findings Expressed as the product of plaque area and a peak calcium density weighting factor, the Agatston method is the gold-standard for measuring CAC on noncontrast cardiac computed tomography. Over the last decade, observational data have suggested that calcium density is inversely associated with CVD events and confers additional prognostic information independent of traditional risk factors and Agatston CAC scores. Specific density measures have been assessed including peak calcium density, mean CAC density, and CAC area-density discordance. Beyond calcium density, the number of affected arteries and regional distribution of CAC which may be correlated with CAC density have also improved the predictive utility of the Agatston score. Summary Calcium density is inversely associated with CVD risk after considering plaque area and/or volume. Calcium markers including density, vessel involvement, and regional distribution confer additional prognostic information for the prediction of incident CVD among those with prevalent subclinical atherosclerosis. A future area of study includes calcium radiomics (’calcium-omics’) and whether the artificial intelligence-derived automated measurement of calcium markers beyond the Agatston score may be of value in CVD risk stratification among individuals with early to advanced subclinical atherosclerosis.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
chenchen发布了新的文献求助10
刚刚
希望天下0贩的0应助潲荟采纳,获得10
刚刚
刚刚
Ling完成签到,获得积分10
1秒前
李健应助跳跃楼房采纳,获得10
1秒前
小二郎应助海绵羊采纳,获得20
1秒前
小魏小魏完成签到,获得积分10
1秒前
科研通AI5应助小季采纳,获得10
2秒前
漂亮灵阳完成签到,获得积分10
2秒前
zzw完成签到,获得积分10
2秒前
wanci应助菠萝采纳,获得10
3秒前
潘森爱科研完成签到,获得积分10
3秒前
沈随便完成签到,获得积分10
3秒前
3秒前
4秒前
屹舟发布了新的文献求助10
4秒前
4秒前
CZXB完成签到,获得积分10
4秒前
小情绪应助tesla采纳,获得10
4秒前
4秒前
汉堡包应助鸭梨采纳,获得10
4秒前
高兴采文发布了新的文献求助10
5秒前
Jimmy完成签到 ,获得积分10
5秒前
虚心的芹发布了新的文献求助10
5秒前
过时的热狗完成签到,获得积分10
5秒前
6秒前
6秒前
Andrew123完成签到,获得积分10
6秒前
6秒前
Time完成签到,获得积分10
6秒前
DirtyAir完成签到,获得积分10
6秒前
6秒前
7秒前
he0570发布了新的文献求助10
7秒前
赘婿应助科研通管家采纳,获得10
7秒前
英俊的铭应助科研通管家采纳,获得10
7秒前
7秒前
科目三应助科研通管家采纳,获得10
7秒前
CodeCraft应助科研通管家采纳,获得10
7秒前
SciGPT应助科研通管家采纳,获得10
7秒前
高分求助中
(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
SOFT MATTER SERIES Volume 22 Soft Matter in Foods 1000
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
A Systemic-Functional Study of Language Choice in Singapore 550
《2023南京市住宿行业发展报告》 500
Circulating tumor DNA from blood and cerebrospinal fluid in DLBCL: simultaneous evaluation of mutations, IG rearrangement, and IG clonality 500
Food Microbiology - An Introduction (5th Edition) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4871797
求助须知:如何正确求助?哪些是违规求助? 4161888
关于积分的说明 12907391
捐赠科研通 3918237
什么是DOI,文献DOI怎么找? 2151195
邀请新用户注册赠送积分活动 1169656
关于科研通互助平台的介绍 1073438