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Clinical Impact of Computational Heart Valve Models
This paper provides a review of engineering applications and computational methods used to analyze the dynamics of heart valve closures in healthy and diseased states. Computational methods are a cost-effective tool that can be used to evaluate the flow parameters of heart valves. Valve repair and r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101262/ https://www.ncbi.nlm.nih.gov/pubmed/35591636 http://dx.doi.org/10.3390/ma15093302 |
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author | Toma, Milan Singh-Gryzbon, Shelly Frankini, Elisabeth Wei, Zhenglun (Alan) Yoganathan, Ajit P. |
author_facet | Toma, Milan Singh-Gryzbon, Shelly Frankini, Elisabeth Wei, Zhenglun (Alan) Yoganathan, Ajit P. |
author_sort | Toma, Milan |
collection | PubMed |
description | This paper provides a review of engineering applications and computational methods used to analyze the dynamics of heart valve closures in healthy and diseased states. Computational methods are a cost-effective tool that can be used to evaluate the flow parameters of heart valves. Valve repair and replacement have long-term stability and biocompatibility issues, highlighting the need for a more robust method for resolving valvular disease. For example, while fluid–structure interaction analyses are still scarcely utilized to study aortic valves, computational fluid dynamics is used to assess the effect of different aortic valve morphologies on velocity profiles, flow patterns, helicity, wall shear stress, and oscillatory shear index in the thoracic aorta. It has been analyzed that computational flow dynamic analyses can be integrated with other methods to create a superior, more compatible method of understanding risk and compatibility. |
format | Online Article Text |
id | pubmed-9101262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91012622022-05-14 Clinical Impact of Computational Heart Valve Models Toma, Milan Singh-Gryzbon, Shelly Frankini, Elisabeth Wei, Zhenglun (Alan) Yoganathan, Ajit P. Materials (Basel) Review This paper provides a review of engineering applications and computational methods used to analyze the dynamics of heart valve closures in healthy and diseased states. Computational methods are a cost-effective tool that can be used to evaluate the flow parameters of heart valves. Valve repair and replacement have long-term stability and biocompatibility issues, highlighting the need for a more robust method for resolving valvular disease. For example, while fluid–structure interaction analyses are still scarcely utilized to study aortic valves, computational fluid dynamics is used to assess the effect of different aortic valve morphologies on velocity profiles, flow patterns, helicity, wall shear stress, and oscillatory shear index in the thoracic aorta. It has been analyzed that computational flow dynamic analyses can be integrated with other methods to create a superior, more compatible method of understanding risk and compatibility. MDPI 2022-05-05 /pmc/articles/PMC9101262/ /pubmed/35591636 http://dx.doi.org/10.3390/ma15093302 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Toma, Milan Singh-Gryzbon, Shelly Frankini, Elisabeth Wei, Zhenglun (Alan) Yoganathan, Ajit P. Clinical Impact of Computational Heart Valve Models |
title | Clinical Impact of Computational Heart Valve Models |
title_full | Clinical Impact of Computational Heart Valve Models |
title_fullStr | Clinical Impact of Computational Heart Valve Models |
title_full_unstemmed | Clinical Impact of Computational Heart Valve Models |
title_short | Clinical Impact of Computational Heart Valve Models |
title_sort | clinical impact of computational heart valve models |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101262/ https://www.ncbi.nlm.nih.gov/pubmed/35591636 http://dx.doi.org/10.3390/ma15093302 |
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