Artificial-intelligence-assisted CCTA quantifies sex differences in coronary atherosclerotic burden at low atheroma volumes

Background: Coronary artery disease (CAD) manifests differently between sexes, with data suggesting females develop more non-calcified plaques that traditional calcium-centric tools may not detect. Methods: We conducted a retrospective cohort study of 100 individuals with low total atheroma volume (...

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Bibliographic Details
Main Authors: Zoee D’Costa, Ronald P. Karlsberg, Geoffrey W. Cho
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:International Journal of Cardiology: Heart & Vasculature
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352906725001617
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