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Dataset Information

Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries.


ABSTRACT:

Aims

Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery.

Methods and results

Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructe

SUBMITTER: Taylor DJ 

PROVIDER: S-EPMC10039427 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature