Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week.
cardiovascular imaging
coronary artery calcium
heart disease
patient-centered care pathways
personalized medicine
preventive health
Journal
Journal of the American College of Cardiology
ISSN: 1558-3597
Titre abrégé: J Am Coll Cardiol
Pays: United States
ID NLM: 8301365
Informations de publication
Date de publication:
23 Apr 2024
23 Apr 2024
Historique:
received:
12
10
2023
revised:
19
01
2024
accepted:
22
01
2024
medline:
18
4
2024
pubmed:
18
4
2024
entrez:
17
4
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 38631775
pii: S0735-1097(24)00415-7
doi: 10.1016/j.jacc.2024.01.039
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1557-1567Informations de copyright
Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Funding Support and Author Disclosures Dr Joshi has received grant support from Novartis, Novo Nordisk, Kaneka, and Amgen; has received consulting fees from Novartis; and has received equity in G3 Therapeutics. Dr Rao has received grant support from Quest; and has received consulting fees from CSL, Raydel, Johnson and Johnson, JP Morgan, and Quest. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.