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Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks

Author

Listed:
  • Sergey Simakov

    (Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119991 Moscow, Russia
    Department of Computational Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
    Institute of Personalized Medicine, Sechenov University, 119992 Moscow, Russia)

  • Timur Gamilov

    (Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119991 Moscow, Russia
    Department of Computational Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
    World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 19991 Moscow, Russia)

  • Fuyou Liang

    (World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 19991 Moscow, Russia
    Department of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Philipp Kopylov

    (World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 19991 Moscow, Russia)

Abstract

Haemodynamic indices are widely used in clinical practice when deciding on a particular type of treatment. Low quality of the computed tomography data and tachycardia complicate interpretation of the measured or simulated values. In this work, we present a novel approach for evaluating resistances in terminal coronary arteries. Using 14 measurements from 10 patients, we show that this algorithm retains the accuracy of 1D haemodynamic simulations in less detailed (truncated) geometric models of coronary networks. We also apply the variable systole fraction model to study the effect of elevated heart rate on the values of fractional flow reserve (FFR), coronary flow reserve (CFR) and instantaneous wave-free ratio (iFR). We conclude that tachycardia may produce both overestimation or underestimation of coronary stenosis significance.

Suggested Citation

  • Sergey Simakov & Timur Gamilov & Fuyou Liang & Philipp Kopylov, 2021. "Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks," Mathematics, MDPI, vol. 9(18), pages 1-19, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:18:p:2221-:d:632655
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    Cited by:

    1. Timur Gamilov & Fuyou Liang & Philipp Kopylov & Natalia Kuznetsova & Artem Rogov & Sergey Simakov, 2023. "Computational Analysis of Hemodynamic Indices Based on Personalized Identification of Aortic Pulse Wave Velocity by a Neural Network," Mathematics, MDPI, vol. 11(6), pages 1-18, March.

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