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Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR) / Etienne Boileau; Sanjay Pant; Carl Roobottom; Igor Sazonov; Jingjing Deng; Xianghua Xie; Perumal Nithiarasu

International Journal for Numerical Methods in Biomedical Engineering, Volume: 34, Issue: 1, Start page: e2908

Swansea University Author: Deng, Jingjing

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DOI (Published version): 10.1002/cnm.2908

Abstract

Image‐based noninvasive fractional flow reserve (FFR) is an emergent approach to determine the functional relevance of coronary stenoses. The present work aimed to determine the feasibility of using a method based on coronary computed tomography angiography (CCTA) and reduced‐order models (0D‐1D) fo...

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Published in: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 20407939
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa49669
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The present work aimed to determine the feasibility of using a method based on coronary computed tomography angiography (CCTA) and reduced&#x2010;order models (0D&#x2010;1D) for the evaluation of coronary stenoses. The reduced&#x2010;order methodology (cFFRRO) was kept as simple as possible and did not include pressure drop or stenosis models. The geometry definition was incorporated into the physical model used to solve coronary flow and pressure. cFFRRO was assessed on a virtual cohort of 30 coronary artery stenoses in 25 vessels and compared with a standard approach based on 3D computational fluid dynamics (cFFR3D). In this proof&#x2010;of&#x2010;concept study, we sought to investigate the influence of geometry and boundary conditions on the agreement between both methods. Performance on a per&#x2010;vessel level showed a good correlation between both methods (Pearson's product&#x2010;moment R=0.885, P&lt;0.01), when using cFFR3D as the reference standard. The 95% limits of agreement were &#x2212;0.116 and 0.08, and the mean bias was &#x2212;0.018 (SD =0.05). Our results suggest no appreciable difference between cFFRRO and cFFR3D with respect to lesion length and/or aspect ratio. At a fixed aspect ratio, however, stenosis severity and shape appeared to be the most critical factors accounting for differences in both methods. Despite the assumptions inherent to the 1D formulation, asymmetry did not seem to affect the agreement. The choice of boundary conditions is critical in obtaining a functionally significant drop in pressure. 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spelling 2019-07-17T10:11:56Z v2 49669 2019-03-20 Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR) Jingjing Deng Jingjing Deng true 0000-0001-9274-651X false 6f6d01d585363d6dc1622640bb4fcb3f 6df6c0ec513df6149f97020adb722b06 pXYIwMVOg48TCraBTzX6EBbHhpNGhK+ZEf+BVPcHSeI= 2019-03-20 SCS Image‐based noninvasive fractional flow reserve (FFR) is an emergent approach to determine the functional relevance of coronary stenoses. The present work aimed to determine the feasibility of using a method based on coronary computed tomography angiography (CCTA) and reduced‐order models (0D‐1D) for the evaluation of coronary stenoses. The reduced‐order methodology (cFFRRO) was kept as simple as possible and did not include pressure drop or stenosis models. The geometry definition was incorporated into the physical model used to solve coronary flow and pressure. cFFRRO was assessed on a virtual cohort of 30 coronary artery stenoses in 25 vessels and compared with a standard approach based on 3D computational fluid dynamics (cFFR3D). In this proof‐of‐concept study, we sought to investigate the influence of geometry and boundary conditions on the agreement between both methods. Performance on a per‐vessel level showed a good correlation between both methods (Pearson's product‐moment R=0.885, P<0.01), when using cFFR3D as the reference standard. The 95% limits of agreement were −0.116 and 0.08, and the mean bias was −0.018 (SD =0.05). Our results suggest no appreciable difference between cFFRRO and cFFR3D with respect to lesion length and/or aspect ratio. At a fixed aspect ratio, however, stenosis severity and shape appeared to be the most critical factors accounting for differences in both methods. Despite the assumptions inherent to the 1D formulation, asymmetry did not seem to affect the agreement. The choice of boundary conditions is critical in obtaining a functionally significant drop in pressure. Our initial data suggest that this approach may be part of a broader risk assessment strategy aimed at increasing the diagnostic yield of cardiac catheterisation for in‐hospital evaluation of haemodynamically significant stenoses. Journal article International Journal for Numerical Methods in Biomedical Engineering 34 1 e2908 20407939 boundary conditions, coronary stenosis severity, shape and asymmetry, non-invasive fractional flow reserve, reduced-order model 0 1 2018 2018-01-01 10.1002/cnm.2908 College of Science Computer Science CSCI SCS Visual Computing None 2019-07-17T10:11:56Z 2019-03-20T20:48:51Z College of Science Computer Science Etienne Boileau 1 Sanjay Pant 2 Carl Roobottom 3 Igor Sazonov 4 Jingjing Deng 5 Xianghua Xie 6 Perumal Nithiarasu 7 0049669-01042019171852.pdf boileau2017v4.pdf 2019-04-01T17:18:52Z Output 786916 application/pdf VoR true Updated Copyright 17/07/2019 2019-04-01T00:00:00 Do not release. true eng
title Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
spellingShingle Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
Deng, Jingjing
title_short Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
title_full Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
title_fullStr Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
title_full_unstemmed Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
title_sort Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR)
author_id_str_mv 6f6d01d585363d6dc1622640bb4fcb3f
author_id_fullname_str_mv 6f6d01d585363d6dc1622640bb4fcb3f_***_Deng, Jingjing
author Deng, Jingjing
author2 Etienne Boileau
Sanjay Pant
Carl Roobottom
Igor Sazonov
Jingjing Deng
Xianghua Xie
Perumal Nithiarasu
format Journal article
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publishDate 2018
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department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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researchgroup_str Visual Computing
description Image‐based noninvasive fractional flow reserve (FFR) is an emergent approach to determine the functional relevance of coronary stenoses. The present work aimed to determine the feasibility of using a method based on coronary computed tomography angiography (CCTA) and reduced‐order models (0D‐1D) for the evaluation of coronary stenoses. The reduced‐order methodology (cFFRRO) was kept as simple as possible and did not include pressure drop or stenosis models. The geometry definition was incorporated into the physical model used to solve coronary flow and pressure. cFFRRO was assessed on a virtual cohort of 30 coronary artery stenoses in 25 vessels and compared with a standard approach based on 3D computational fluid dynamics (cFFR3D). In this proof‐of‐concept study, we sought to investigate the influence of geometry and boundary conditions on the agreement between both methods. Performance on a per‐vessel level showed a good correlation between both methods (Pearson's product‐moment R=0.885, P<0.01), when using cFFR3D as the reference standard. The 95% limits of agreement were −0.116 and 0.08, and the mean bias was −0.018 (SD =0.05). Our results suggest no appreciable difference between cFFRRO and cFFR3D with respect to lesion length and/or aspect ratio. At a fixed aspect ratio, however, stenosis severity and shape appeared to be the most critical factors accounting for differences in both methods. Despite the assumptions inherent to the 1D formulation, asymmetry did not seem to affect the agreement. The choice of boundary conditions is critical in obtaining a functionally significant drop in pressure. Our initial data suggest that this approach may be part of a broader risk assessment strategy aimed at increasing the diagnostic yield of cardiac catheterisation for in‐hospital evaluation of haemodynamically significant stenoses.
published_date 2018-01-01T05:17:28Z
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