Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks

Sergey Simakov, Timur Gamilov, Fuyou Liang and Philipp Kopylov
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Sergey Simakov: Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119991 Moscow, Russia
Timur Gamilov: Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119991 Moscow, Russia
Fuyou Liang: World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 19991 Moscow, Russia
Philipp Kopylov: World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 19991 Moscow, Russia

Mathematics, 2021, vol. 9, issue 18, 1-19

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.

Keywords: 1D haemodynamics; stenosis; systole variations; coronary circulation; tachycardia; boundary conditions; FFR; CFR; iFR (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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