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Fractional Flow Reserve (FFR) Estimation from OCT-Based CFD Simulations: Role of Side Branches
Peshala T Gamage1, Pengfei Dong1, Juhwan Lee2
1Department of Biomedical and Chemical Engineering and Sciences, Florida Institute of Technology, Melbourne, FL 32901, USA.
Side branches in coronary arteries significantly impact fractional flow reserve (FFR) calculations. Including side branches larger than one-third of the main vessel diameter is crucial for accurate hemodynamic assessment and treatment planning.
Area of Science:
- Cardiovascular physiology
- Medical imaging analysis
- Computational fluid dynamics
Background:
- Computational fluid dynamics (CFD) is vital for assessing arterial disease and surgical outcomes.
- Optical coherence tomography (OCT) derived artery models often omit side branches, potentially affecting hemodynamic assessments.
- Fractional flow reserve (FFR) is a critical clinical index for evaluating stenosis severity.
Purpose of the Study:
- To investigate the influence of coronary artery side branches on FFR estimation.
- To determine the impact of side branch diameter and location on FFR values.
- To provide guidance on incorporating side branches into hemodynamic assessments.
Main Methods:
- Utilized CFD simulations with idealized and OCT-reconstructed coronary artery models.
- Employed an electrical analogy of blood flow to analyze side branch effects.
- Examined the influence of side branch diameter and location relative to stenosis.
Main Results:
- Side branches reduce overall vessel tree resistance, increasing inlet flow.
- Downstream side branches significantly lower FFR values.
- Upstream side branches have a minimal effect on FFR.
- Side branches exceeding one-third of the main vessel diameter warrant inclusion in FFR calculations.
Conclusions:
- Side branch inclusion is essential for accurate FFR estimation, particularly for larger branches.
- The location of side branches relative to stenosis critically influences FFR.
- Findings can enhance treatment planning and be applied to other imaging modalities.
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