Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week

Shyon Parsa; Adam Saleh; Viraj Raygor; Natalie Hoeting; Anjali Rao; Ann Marie Navar; Anand Rohatgi; Fernando Kay; Suhny Abbara; Amit Khera; Parag H. Joshi

doi:10.1016/j.jacc.2024.01.039

Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week

Shyon Parsa, Adam Saleh, Viraj Raygor, Natalie Hoeting, Anjali Rao, Ann Marie Navar, Anand Rohatgi, Fernando Kay, Suhny Abbara, Amit Khera, Parag H. Joshi

Research output: Contribution to journal › Review article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	1557-1567
Number of pages	11
Journal	Journal of the American College of Cardiology
Volume	83
Issue number	16
DOIs	https://doi.org/10.1016/j.jacc.2024.01.039
State	Published - Apr 23 2024

Keywords

cardiovascular imaging
coronary artery calcium
heart disease
patient-centered care pathways
personalized medicine
preventive health

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

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10.1016/j.jacc.2024.01.039

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title = "Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week",

abstract = "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.",

keywords = "cardiovascular imaging, coronary artery calcium, heart disease, patient-centered care pathways, personalized medicine, preventive health",

author = "Shyon Parsa and Adam Saleh and Viraj Raygor and Natalie Hoeting and Anjali Rao and Navar, {Ann Marie} and Anand Rohatgi and Fernando Kay and Suhny Abbara and Amit Khera and Joshi, {Parag H.}",

note = "Publisher Copyright: {\textcopyright} 2024 American College of Cardiology Foundation",

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doi = "10.1016/j.jacc.2024.01.039",

language = "English (US)",

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T2 - JACC Review Topic of the Week

AU - Parsa, Shyon

AU - Saleh, Adam

AU - Raygor, Viraj

AU - Hoeting, Natalie

AU - Rao, Anjali

AU - Navar, Ann Marie

AU - Rohatgi, Anand

AU - Kay, Fernando

AU - Abbara, Suhny

AU - Khera, Amit

AU - Joshi, Parag H.

PY - 2024/4/23

Y1 - 2024/4/23

N2 - 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.

AB - 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.

KW - cardiovascular imaging

KW - coronary artery calcium

KW - heart disease

KW - patient-centered care pathways

KW - personalized medicine

KW - preventive health

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JF - Journal of the American College of Cardiology

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ER -

Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week

Abstract

Keywords

ASJC Scopus subject areas

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