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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-10-01
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Series: | International Journal of Cardiology: Heart & Vasculature |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352906725001617 |
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