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A new CFD based non-invasive method for functional diagnosis of coronary stenosis
BACKGROUND: Accurate functional diagnosis of coronary stenosis is vital for decision making in coronary revascularization. With recent advances in computational fluid dynamics (CFD), fractional flow reserve (FFR) can be derived non-invasively from coronary computed tomography angiography images (FFR...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863834/ https://www.ncbi.nlm.nih.gov/pubmed/29566702 http://dx.doi.org/10.1186/s12938-018-0468-6 |
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author | Xie, Xinzhou Zheng, Minwen Wen, Didi Li, Yabing Xie, Songyun |
author_facet | Xie, Xinzhou Zheng, Minwen Wen, Didi Li, Yabing Xie, Songyun |
author_sort | Xie, Xinzhou |
collection | PubMed |
description | BACKGROUND: Accurate functional diagnosis of coronary stenosis is vital for decision making in coronary revascularization. With recent advances in computational fluid dynamics (CFD), fractional flow reserve (FFR) can be derived non-invasively from coronary computed tomography angiography images (FFR(CT)) for functional measurement of stenosis. However, the accuracy of FFR(CT) is limited due to the approximate modeling approach of maximal hyperemia conditions. To overcome this problem, a new CFD based non-invasive method is proposed. METHODS: Instead of modeling maximal hyperemia condition, a series of boundary conditions are specified and those simulated results are combined to provide a pressure-flow curve for a stenosis. Then, functional diagnosis of stenosis is assessed based on parameters derived from the obtained pressure-flow curve. RESULTS: The proposed method is applied to both idealized and patient-specific models, and validated with invasive FFR in six patients. Results show that additional hemodynamic information about the flow resistances of a stenosis is provided, which cannot be directly obtained from anatomy information. Parameters derived from the simulated pressure-flow curve show a linear and significant correlations with invasive FFR (r > 0.95, P < 0.05). CONCLUSION: The proposed method can assess flow resistances by the pressure-flow curve derived parameters without modeling of maximal hyperemia condition, which is a new promising approach for non-invasive functional assessment of coronary stenosis. |
format | Online Article Text |
id | pubmed-5863834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58638342018-03-27 A new CFD based non-invasive method for functional diagnosis of coronary stenosis Xie, Xinzhou Zheng, Minwen Wen, Didi Li, Yabing Xie, Songyun Biomed Eng Online Research BACKGROUND: Accurate functional diagnosis of coronary stenosis is vital for decision making in coronary revascularization. With recent advances in computational fluid dynamics (CFD), fractional flow reserve (FFR) can be derived non-invasively from coronary computed tomography angiography images (FFR(CT)) for functional measurement of stenosis. However, the accuracy of FFR(CT) is limited due to the approximate modeling approach of maximal hyperemia conditions. To overcome this problem, a new CFD based non-invasive method is proposed. METHODS: Instead of modeling maximal hyperemia condition, a series of boundary conditions are specified and those simulated results are combined to provide a pressure-flow curve for a stenosis. Then, functional diagnosis of stenosis is assessed based on parameters derived from the obtained pressure-flow curve. RESULTS: The proposed method is applied to both idealized and patient-specific models, and validated with invasive FFR in six patients. Results show that additional hemodynamic information about the flow resistances of a stenosis is provided, which cannot be directly obtained from anatomy information. Parameters derived from the simulated pressure-flow curve show a linear and significant correlations with invasive FFR (r > 0.95, P < 0.05). CONCLUSION: The proposed method can assess flow resistances by the pressure-flow curve derived parameters without modeling of maximal hyperemia condition, which is a new promising approach for non-invasive functional assessment of coronary stenosis. BioMed Central 2018-03-22 /pmc/articles/PMC5863834/ /pubmed/29566702 http://dx.doi.org/10.1186/s12938-018-0468-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Xie, Xinzhou Zheng, Minwen Wen, Didi Li, Yabing Xie, Songyun A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title | A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title_full | A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title_fullStr | A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title_full_unstemmed | A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title_short | A new CFD based non-invasive method for functional diagnosis of coronary stenosis |
title_sort | new cfd based non-invasive method for functional diagnosis of coronary stenosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863834/ https://www.ncbi.nlm.nih.gov/pubmed/29566702 http://dx.doi.org/10.1186/s12938-018-0468-6 |
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