Podcast summary
AI-Driven CCTA: Precision CAD Detection & Management
Cardiac CT shifts from blockage to risk
Coronary CTA has evolved from answering only “Is there ischemia?” to estimating disease across anatomy, physiology, and plaque biology—enabling earlier detection, better triage, and prevention.
CT-FFR prevents cath labs by adding physiology
CTA’s core strength—high sensitivity—creates specificity problems from intermediate or calcified lesions; CT-FFR software-generated FFR adds flow significance, cutting unnecessary catheterizations by ~60% without harming safety.
Gray-zone CT-FFR requires anatomy and judgment
Interpreting CT-FFR isn’t binary around 0.8; in 0.7–0.8 ranges accuracy drops, so lesion location, translesional FFR drop, plaque phenotype, and concordance with CT anatomy determine whether risk is real.
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