A Computational Framework for FFR Estimation in Right Coronary Arteries: From CFD Simulation to Clinical Validation
Coronary artery disease (CAD) remains the leading cause of cardiovascular mortality worldwide. Accurate and non-invasive quantification of coronary hemodynamics, namely in the right coronary artery (RCA), is essential for clinical decision-making but remains challenging due to the complex interaction among vessel geometry, pulsatile flow, and blood rheology. This study presents and validates a transparent computational framework for non-invasive fractional flow reserve (FFR) estimation using patient-specific RCA geometries reconstructed from coronary computed tomography angiography (CCTA) using SimVascular 27-03-2023. The proposed workflow integrates realistic boundary conditions through a Womersley velocity profile and a three-element Windkessel outlet model, coupled with a viscoelastic blood rheology formulation (sPTT) implemented via user-defined functions (UDFs). This work integrates all clinically relevant conditions of invasive FFR assessment into a single patient-specific computational framework, while delivering results within a time frame compatible with clinical practice, representing a meaningful methodological advance. The methodology was applied to seven patient-specific cases, and the resulting non-invasive FFR values were compared with both invasive wire-based measurements and commercial HeartFlow® outputs (Mountain View, CA, USA). Under hyperemic conditions, the computed FFR values showed strong agreement with invasive references, with a mean relative error of 8.4% ± 6.3%, showing diagnostic consistency similar to that of HeartFlow® (8.3% ± 8.1%) for the selected dataset. These findings demonstrate the ability of the proposed CFD-based pipeline to accurately replicate physiological coronary behavior under hyperemia. This novel workflow provides a fully on-site, open-source, reproducible, and cost-effective framework. Ultimately, this study advances the clinical applicability of non-invasive CFD tools for the functional assessment of CAD, particularly in the RCA.
Authors
- Francisco P. M. Oliveira (ORCID: https://orcid.org/0000-0001-9468-8894)
- Luísa Costa Sousa
- Nuno Bettencourt (ORCID: https://orcid.org/0000-0003-1767-8240)
- Maria Eugénia Matos Fernandes
- Ricardo Ladeiras-Lopes
- Diogo Santos-Ferreira
- Saima Mushtaq
- Gianluca Pontone
- Sónia I. S. Pinto
- Nuno Dias Ferreira
Institutions
- Universidade do Porto (PT)
- University of Milan (IT)
- Centro Cardiologico Monzino (IT)
- Institute of Mechanical Engineering and Industrial Mangement (PT)
- Centro Hospitalar de Vila Nova de Gaia (PT)
Publication Details
- Journal
- Mathematics
- Published
- 2026-01-23
- DOI
- https://doi.org/10.3390/math14030395
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universidade do Porto
- Fundação para a Ciência e a Tecnologia