钙
医学
冠状动脉钙
冠状动脉钙评分
冠状动脉疾病
钙化
钙化积分
亚临床感染
弗雷明翰风险评分
内科学
心脏病学
动脉粥样硬化性心血管疾病
风险评估
冠状动脉粥样硬化
风险因素
疾病
放射科
计算机安全
计算机科学
作者
Alexander C. Razavi,Arthur S. Agatston,Leslee J. Shaw,Carlo N. De Cecco,Marly van Assen,Laurence Sperling,Márcio Bittencourt,Melissa A. Daubert,Khurram Nasir,Roger S. Blumenthal,Martin Bødtker Mortensen,Seamus P. Whelton,Michael J. Blaha,Omar Dzaye
标识
DOI:10.1016/j.jcmg.2022.02.026
摘要
Coronary artery calcium (CAC) is a specific marker of coronary atherosclerosis that can be used to measure calcified subclinical atherosclerotic burden. The Agatston method is the most widely used scoring algorithm for quantifying CAC and is expressed as the product of total calcium area and a quantized peak calcium density weighting factor defined by the calcification attenuation in HU on noncontrast computed tomography. Calcium density has emerged as an important area of inquiry because the Agatston score is upweighted based on the assumption that peak calcium density and atherosclerotic cardiovascular disease (ASCVD) risk are positively correlated. However, recent evidence demonstrates that calcium density is inversely associated with lesion vulnerability and ASCVD risk in population-based cohorts when accounting for age and plaque area. Here, we review calcium density by focusing on 3 main areas: 1) CAC scan acquisition parameters; 2) pathophysiology of calcified plaques; and 3) epidemiologic evidence relating calcium density to ASCVD outcomes. Through this process, we hope to provide further insight into the evolution of CAC scoring on noncontrast computed tomography.
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