Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks

Version 1 : Received: 31 July 2021 / Approved: 2 August 2021 / Online: 2 August 2021 (12:08:24 CEST)

A peer-reviewed article of this Preprint also exists.

Simakov, S.; Gamilov, T.; Liang, F.; Kopylov, P. Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks. Mathematics 2021, 9, 2221. Simakov, S.; Gamilov, T.; Liang, F.; Kopylov, P. Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks. Mathematics 2021, 9, 2221.

Journal reference: Mathematics 2021, 9, 2221
DOI: 10.3390/math9182221

Abstract

Haemodynamic indices are widely used in clinical practice for deciding on a particular type of treatment. Low quality of the CT 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 FFR, CFR and 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.

Subject

MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory

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