Gosling, R.C., Sturdy, J., Morris, P.D. orcid.org/0000-0002-3965-121X et al. (5 more authors) (2020) Effect of side branch flow upon physiological indices in coronary artery disease. Journal of Biomechanics, 103. 109698. ISSN 0021-9290
Abstract
Recent efforts have demonstrated the ability of computational models to predict fractional flow reserve from coronary artery imaging without the need for invasive instrumentation. However, these models include only larger coronary arteries as smaller side branches cannot be resolved and are therefore neglected. The goal of this study was to evaluate the impact of neglecting the flow to these side branches when computing angiography-derived fractional flow reserve (vFFR) and indices of volumetric coronary artery blood flow. To compensate for the flow to side branches, a leakage function based upon vessel taper (Murray’s Law) was added to a previously developed computational model of coronary blood flow. The augmented model with a leakage function (1Dleaky) and the original model (1D) were then applied to predict FFR as well as inlet and outlet flow in 146 arteries from 80 patients who underwent invasive coronary angiography and FFR measurement. The results show that the leakage function did not significantly change the vFFR but did significantly impact the estimated volumetric flow rate and predicted coronary flow reserve. As both procedures achieved similar predictive accuracy of vFFR despite large differences in coronary blood flow, these results suggest careful consideration of the application of this index for quantitatively assessing flow.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Hemodynamics; Computational fluid dynamics; Translational modeling; Coronary artery disease; Stenosis; Cardiovascular physiology; Mathematical modeling |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number WELLCOME TRUST (THE) 214567/Z/18/Z |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Mar 2020 16:22 |
Last Modified: | 06 Dec 2021 17:05 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.jbiomech.2020.109698 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158322 |