aceSex Differences in Detection of Acute Coronary Syndrome Culprit Lesion Using Conventional and AI-Enhanced Coronary CT Angiography
Aims Acute coronary syndrome (ACS) exhibits marked sex-related differences in clinical presentation and underlying pathophysiology. However, whether these differences translate into variations in culprit lesion prediction remains unclear. We investigated the sex-specific performance of conventional coronary computed tomography angiography (CCTA) and artificial intelligence-enabled quantitative coronary plaque and hemodynamic assessment (AI-QCPHA) for ACS culprit detection. Methods and results In this sub-study o…
Adding AI-derived plaque and hemodynamic features raised discrimination of ACS culprit lesions over conventional coronary CT in both women and men, using the same best features for each sex.
The cohort included far fewer women (90) than men (261), and the conclusion is framed as supporting a potential role rather than demonstrating clinical benefit.
Evidence
- Peer-reviewedEuropean Heart Journal - Cardiovascular Imaging2026-10-06
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Truvace Impact Record TRV-2026-1833, v1: “Sex Differences in Detection of Acute Coronary Syndrome Culprit Lesion Using Conventional and AI-Enhanced Coronary CT Angiography.” Truvace, 2026-10-18. /record/TRV-2026-1833 (accessed at citation time). sha256 e0937695caf33d6b…
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