Noninvasive computed tomography derived fractional flow reserve simulation based on microvascular tree model...

Area of Science:

• Cardiovascular Imaging and Intervention
• Computational Fluid Dynamics in Medicine
• Coronary Artery Disease Diagnostics

Background:

• Invasive fractional flow reserve (FFR) is the gold standard for assessing coronary artery disease severity.
• Noninvasive CT-FFR methods are evolving to reduce invasiveness and improve patient outcomes.
• Accurate simulation of microvascular function is crucial for reliable noninvasive FFR assessment.

Purpose of the Study:

• To develop and validate a novel noninvasive CT-FFR simulation technique.
• The method reconstructs a microvascular tree model for patient-specific simulations.
• To evaluate the diagnostic performance of this novel CT-FFR against invasive FFR.

Main Methods:

• Retrospective analysis of 20 patients with coronary computed tomography angiography (CCTA) and invasive FFR.
• Reconstruction of epicardial coronary artery models from CCTA and simulation of microvascular trees.
• Computational fluid dynamics (CFD) simulations incorporating microvascular viscosity variations.

Main Results:

• The novel CT-FFR method demonstrated high diagnostic performance: 100% sensitivity, 77.8% specificity, and 88.89% accuracy.
• Excellent correlation and consistency were observed between CT-FFR and invasive FFR (threshold ≤ 0.80).
• Average analysis time per patient was under 15 minutes.

Conclusions:

• CT-FFR derived from microvascular tree reconstruction is a feasible and accurate noninvasive diagnostic tool.
• The method offers a rapid processing time and strong diagnostic capabilities for coronary artery disease.
• Further large-scale prospective studies are needed to confirm its utility in evaluating myocardial ischemia.