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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.
Sec. Biomechanics
Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1438253

Enhancing Cardiac Assessments: Accurate and Efficient Prediction of Quantitative Fractional Flow Reserve

Provisionally accepted
Arshia Eskandari Arshia Eskandari 1Sara Malek Sara Malek 1Alireza Jabbari Alireza Jabbari 1Kian Javari Kian Javari 1Nima Rahmati Nima Rahmati 1Behrad Nikbakhtian Behrad Nikbakhtian 1Bahram Mohebbi Bahram Mohebbi 2Seyed Ehsan Parhizgar Seyed Ehsan Parhizgar 2Mona Alimohammadi Mona Alimohammadi 1*
  • 1 K.N.Toosi University of Technology, Tehran, Iran
  • 2 Rajaei Cardiovascular, Medical and Research Center, Iran University of Medical Sciences, Tehran, Alborz, Iran

The final, formatted version of the article will be published soon.

    Background: Obstruction within the left anterior descending coronary artery (LAD) is prevalent, serving as a prominent and independent predictor of mortality. Invasive Fractional flow reserve (FFR) is the gold standard for Coronary Artery Disease risk assessment. Despite advances in computational and imaging techniques, no definitive methodology currently assures clinicians of reliable, non-invasive strategies for future planning.The present research encompassed a cohort of 150 participants who were admitted to the Rajaie Cardiovascular, Medical, and Research Center. The method includes a three-dimensional geometry reconstruction, computational fluid dynamics simulations, and methodology optimization for the computation time. Four patients are analyzed within this study to showcase the proposed methodology. The invasive FFR results reported by the clinic have validated the optimized model.The computational FFR data derived from all methodologies are compared with those reported by the clinic for each case. The chosen methodology has yielded virtual FFR values that exhibit remarkable proximity to the clinically reported patient-specific FFR values, with the MSE of 6.186e-7 and R2 of 0.99 (p = 0.00434).This approach has shown reliable results for all 150 patients. The results are both computationally and clinically user-friendly, with the accumulative pre and post-processing time of 15 minutes on a desktop computer (Intel i7 processor, 16 GB RAM). The proposed methodology has the potential to significantly assist clinicians with diagnosis.

    Keywords: Coronary Artery Disease, Fractional flow reserve, Myocardial Infarction, noninvasive imaging, computational fluid dynamics, Virtual surgery Abstract

    Received: 25 May 2024; Accepted: 09 Jan 2025.

    Copyright: © 2025 Eskandari, Malek, Jabbari, Javari, Rahmati, Nikbakhtian, Mohebbi, Parhizgar and Alimohammadi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mona Alimohammadi, K.N.Toosi University of Technology, Tehran, Iran

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.