Relevance of autoregulation in the diagnosis of coronary artery disease with CT-FFR

Résumé fourni par la source

We present a novel autoregulation-aware model of microvascular resistance for CT-FFR computations. The model improves prediction accuracy compared with conventional approaches for modeling the hyperemic state. Integration of CCTA-derived anatomy and invasive pressures reveals sex- and territory-dependent microvascular responses to adenosine, highlighting the diagnostic role of combined assessment of epicardial and microvascular disease.

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