Why the study?
Low quality of CT data and tachycardia complicate the interpretation of measured or simulated coronary haemodynamic indices used for treatment decisions.
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A novel computational algorithm accurately evaluates terminal coronary resistance in truncated models and demonstrates that tachycardia can lead to over- or underestimation of coronary stenosis significance.
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.
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Simakov et al. (2021) studied this question.
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