医学
冠状动脉钙
心脏病学
钙
内科学
冠状动脉疾病
作者
Shyon Parsa,Adam Gambo Saleh,Viraj Raygor,Natalie Hoeting,Anjali Rao,Ann Marie Návar,Anand Rohatgi,Fernando Uliana Kay,Suhny Abbara,Amit Khera,Parag H. Joshi
标识
DOI:10.1016/j.jacc.2024.01.039
摘要
Coronary artery calcium (CAC) scoring is a powerful tool for atherosclerotic cardiovascular disease risk stratification. The nongated, noncontrast chest computed tomography scan (NCCT) has emerged as a source of CAC characterization with tremendous potential due to the high volume of NCCT scans. Application of incidental CAC characterization from NCCT has raised questions around score accuracy, standardization of methodology including the possibility of deep learning to automate the process, and the risk stratification potential of an NCCT-derived score. In this review, the authors aim to summarize the role of NCCT-derived CAC in preventive cardiovascular health today as well as explore future avenues for eventual clinical applicability in specific patient populations and broader health systems.
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