What question did this study set out to answer?

The aim is to develop and validate a computational framework for accurate non-invasive FFR estimation in the right coronary artery using patient-specific geometries.

January 25, 2026MathematicsOpen Access

A Computational Framework for FFR Estimation in Right Coronary Arteries: From CFD Simulation to Clinical Validation

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Key result

Non-invasive CFD-based FFR strongly agrees with invasive measurements with ~8% mean relative error.

Why the study?

Accurate and non-invasive quantification of coronary hemodynamics in the RCA is essential for decision-making but remains challenging due to vessel geometry, pulsatile flow, and blood rheology.

Does a novel computational fluid dynamics framework accurately estimate FFR in right coronary arteries compared to invasive measurements?

Population

Seven patient-specific cases

Comparison

Non-invasive FFR estimation vs invasive wire-based measurements and commercial HeartFlow outputs

Design

Computational validation study

Authors

FOFrancisco P. M. OliveiraChampalimaud Foundation MFMaria Eugénia Matos FernandesUniversidade Federal de São Carlos NFNuno Dias FerreiraCentro Hospitalar de Vila Nova de Gaia

Discussion

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Implication

May support accessible open-source FFR estimation in RCA; leaves open larger prospective validation before clinical use.

Key Points

The aim is to develop and validate a computational framework for accurate non-invasive FFR estimation in the right coronary artery using patient-specific geometries.
Developed a computational framework integrating CFD methods to simulate coronary hemodynamics.
Utilized patient-specific RCA geometries from coronary computed tomography angiography (CCTA).
Applied a Womersley velocity profile and a three-element Windkessel model for boundary conditions.
Implemented viscoelastic blood rheology via user-defined functions (UDFs).
Validated results against invasive FFR measurements and commercial HeartFlow outputs.
Achieved strong agreement between computed FFR values and invasive measurements with a mean relative error of 8.4% ± 6.3%.
Demonstrated diagnostic consistency comparable to HeartFlow® (8.3% ± 8.1%).
Showed that the CFD-based pipeline accurately replicates physiological coronary behavior under hyperemic conditions.

Structured PICO

Does a novel computational fluid dynamics framework accurately estimate FFR in right coronary arteries compared to invasive measurements?

Population

7 patient-specific cases with right coronary artery geometries reconstructed from coronary computed tomography angiography (CCTA)

Intervention

Computational framework for non-invasive fractional flow reserve (FFR) estimation using computational fluid dynamics (CFD) with SimVascular

Comparator

Invasive wire-based FFR measurements and commercial HeartFlow outputs

Outcome

Agreement of computed FFR values with invasive references (mean relative error)surrogate

A novel, open-source computational fluid dynamics framework can accurately estimate FFR in right coronary arteries from CCTA with diagnostic consistency similar to commercial software.

Cite This Study

Oliveira et al. (2026) studied this question. The CFD-based non-invasive FFR estimation showed strong agreement with invasive measurements, with a mean relative error of 8.4% ± 6.3% in seven patient cases.

synapsesocial.com/papers/6975b20efeba4585c2d6d978 https://doi.org/10.3390/math14030395

Topics

Coronary artery disease Coronary CT angiography

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A Computational Framework for FFR Estimation in Right Coronary Arteries: From CFD Simulation to Clinical Validation

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

Topics

A Computational Framework for FFR Estimation in Right Coronary Arteries: From CFD Simulation to Clinical Validation

Discussion

Member takes

Implication

Key Points

Structured PICO

Cite This Study

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