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Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention

Invasive fractional flow reserve (FFR) is recommended to guide stent deployment. We previously introduced a non-invasive FFR calculation (FFR(B)) based on computed tomography coronary angiography (CTCA) with reduced-order computational fluid dynamics (CFD) and resistance boundary conditions. Current...

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Autores principales: Chandola, Gaurav, Zhang, Jun-Mei, Tan, Ru-San, Chai, Ping, Teo, Lynette, Allen, John C., Low, Ris, Huang, Weimin, Leng, Shuang, Fam, Jiang Ming, Chin, Chee Yang, Kassab, Ghassan S., Low, Adrian Fatt Hoe, Tan, Swee Yaw, Chua, Terrance, Lim, Soo Teik, Zhong, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452917/
https://www.ncbi.nlm.nih.gov/pubmed/34557479
http://dx.doi.org/10.3389/fbioe.2021.739667
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author Chandola, Gaurav
Zhang, Jun-Mei
Tan, Ru-San
Chai, Ping
Teo, Lynette
Allen, John C.
Low, Ris
Huang, Weimin
Leng, Shuang
Fam, Jiang Ming
Chin, Chee Yang
Kassab, Ghassan S.
Low, Adrian Fatt Hoe
Tan, Swee Yaw
Chua, Terrance
Lim, Soo Teik
Zhong, Liang
author_facet Chandola, Gaurav
Zhang, Jun-Mei
Tan, Ru-San
Chai, Ping
Teo, Lynette
Allen, John C.
Low, Ris
Huang, Weimin
Leng, Shuang
Fam, Jiang Ming
Chin, Chee Yang
Kassab, Ghassan S.
Low, Adrian Fatt Hoe
Tan, Swee Yaw
Chua, Terrance
Lim, Soo Teik
Zhong, Liang
author_sort Chandola, Gaurav
collection PubMed
description Invasive fractional flow reserve (FFR) is recommended to guide stent deployment. We previously introduced a non-invasive FFR calculation (FFR(B)) based on computed tomography coronary angiography (CTCA) with reduced-order computational fluid dynamics (CFD) and resistance boundary conditions. Current study aimed to assess the feasibility and accuracy of FFR(B) for predicting coronary hemodynamics before and after stenting, with invasive FFR as the reference. Twenty-five patients who had undergone CTCA were prospectively enrolled before invasive coronary angiography (ICA) and FFR-guided percutaneous coronary intervention (PCI) on 30 coronary vessels. Using reduced-order CFD with novel boundary conditions on three-dimensional (3D) patient-specific anatomic models reconstructed from CTCA, we calculated FFR(B) before and after virtual stenting. The latter simulated PCI by clipping stenotic segments from the 3D coronary models and replacing them with segments to mimic the deployed coronary stents. Pre- and post-virtual stenting FFR(B) were compared with FFR measured pre- and post-PCI by investigators blinded to FFR(B) results. Among 30 coronary lesions, pre-stenting FFR(B) (mean 0.69 ± 0.12) and FFR (mean 0.67 ± 0.13) exhibited good correlation (r = 0.86, p < 0.001) and agreement [mean difference 0.024, 95% limits of agreement (LoA): −0.11, 0.15]. Similarly, post-stenting FFR(B) (mean 0.84 ± 0.10) and FFR (mean 0.86 ± 0.08) exhibited fair correlation (r = 0.50, p < 0.001) and good agreement (mean difference 0.024, 95% LoA: −0.20, 0.16). The accuracy of FFR(B) for identifying post-stenting ischemic lesions (FFR ≤ 0.8) (residual ischemia) was 87% (sensitivity 80%, specificity 88%). Our novel FFR(B), based on CTCA with reduced-order CFD and resistance boundary conditions, accurately predicts the hemodynamic effects of stenting which may serve as a tool in PCI planning.
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spelling pubmed-84529172021-09-22 Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention Chandola, Gaurav Zhang, Jun-Mei Tan, Ru-San Chai, Ping Teo, Lynette Allen, John C. Low, Ris Huang, Weimin Leng, Shuang Fam, Jiang Ming Chin, Chee Yang Kassab, Ghassan S. Low, Adrian Fatt Hoe Tan, Swee Yaw Chua, Terrance Lim, Soo Teik Zhong, Liang Front Bioeng Biotechnol Bioengineering and Biotechnology Invasive fractional flow reserve (FFR) is recommended to guide stent deployment. We previously introduced a non-invasive FFR calculation (FFR(B)) based on computed tomography coronary angiography (CTCA) with reduced-order computational fluid dynamics (CFD) and resistance boundary conditions. Current study aimed to assess the feasibility and accuracy of FFR(B) for predicting coronary hemodynamics before and after stenting, with invasive FFR as the reference. Twenty-five patients who had undergone CTCA were prospectively enrolled before invasive coronary angiography (ICA) and FFR-guided percutaneous coronary intervention (PCI) on 30 coronary vessels. Using reduced-order CFD with novel boundary conditions on three-dimensional (3D) patient-specific anatomic models reconstructed from CTCA, we calculated FFR(B) before and after virtual stenting. The latter simulated PCI by clipping stenotic segments from the 3D coronary models and replacing them with segments to mimic the deployed coronary stents. Pre- and post-virtual stenting FFR(B) were compared with FFR measured pre- and post-PCI by investigators blinded to FFR(B) results. Among 30 coronary lesions, pre-stenting FFR(B) (mean 0.69 ± 0.12) and FFR (mean 0.67 ± 0.13) exhibited good correlation (r = 0.86, p < 0.001) and agreement [mean difference 0.024, 95% limits of agreement (LoA): −0.11, 0.15]. Similarly, post-stenting FFR(B) (mean 0.84 ± 0.10) and FFR (mean 0.86 ± 0.08) exhibited fair correlation (r = 0.50, p < 0.001) and good agreement (mean difference 0.024, 95% LoA: −0.20, 0.16). The accuracy of FFR(B) for identifying post-stenting ischemic lesions (FFR ≤ 0.8) (residual ischemia) was 87% (sensitivity 80%, specificity 88%). Our novel FFR(B), based on CTCA with reduced-order CFD and resistance boundary conditions, accurately predicts the hemodynamic effects of stenting which may serve as a tool in PCI planning. Frontiers Media S.A. 2021-09-07 /pmc/articles/PMC8452917/ /pubmed/34557479 http://dx.doi.org/10.3389/fbioe.2021.739667 Text en Copyright © 2021 Chandola, Zhang, Tan, Chai, Teo, Allen, Low, Huang, Leng, Fam, Chin, Kassab, Low, Tan, Chua, Lim and Zhong. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Chandola, Gaurav
Zhang, Jun-Mei
Tan, Ru-San
Chai, Ping
Teo, Lynette
Allen, John C.
Low, Ris
Huang, Weimin
Leng, Shuang
Fam, Jiang Ming
Chin, Chee Yang
Kassab, Ghassan S.
Low, Adrian Fatt Hoe
Tan, Swee Yaw
Chua, Terrance
Lim, Soo Teik
Zhong, Liang
Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title_full Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title_fullStr Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title_full_unstemmed Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title_short Computed Tomography Coronary Angiography and Computational Fluid Dynamics Based Fractional Flow Reserve Before and After Percutaneous Coronary Intervention
title_sort computed tomography coronary angiography and computational fluid dynamics based fractional flow reserve before and after percutaneous coronary intervention
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452917/
https://www.ncbi.nlm.nih.gov/pubmed/34557479
http://dx.doi.org/10.3389/fbioe.2021.739667
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