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Comparative modeling of the mitral valve in normal and prolapse conditions
[Image: see text] INTRODUCTION: Computational modeling is one of the best non-invasive approaches to predicting the functional behavior of the mitral valve (MV) in health and disease. Mitral valve prolapse (MVP) due to partial or complete chordae tendineae rapture is the most common valvular disease...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences (TUOMS Publishing Group)
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460767/ https://www.ncbi.nlm.nih.gov/pubmed/37645030 http://dx.doi.org/10.34172/bi.2023.24097 |
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author | Razavi, Seyed Esmail Talebi, Amin |
author_facet | Razavi, Seyed Esmail Talebi, Amin |
author_sort | Razavi, Seyed Esmail |
collection | PubMed |
description | [Image: see text] INTRODUCTION: Computational modeling is one of the best non-invasive approaches to predicting the functional behavior of the mitral valve (MV) in health and disease. Mitral valve prolapse (MVP) due to partial or complete chordae tendineae rapture is the most common valvular disease and results in mitral regurgitation (MR). METHODS: In this study, Image-based fluid-structure interaction (FSI) models of the human MV are developed in the normal physiological and posterior leaflet prolapse conditions. Detailed geometry of the healthy human MV is derived from Computed Tomography imaging data. To provide prolapse condition, some chords attached to the posterior leaflet are removed from the healthy valve. Both normal and prolapsed valves are embedded separately in a straight tubular blood volume and simulated under physiological systolic pressure loads. The Arbitrary Lagrangian-Eulerian finite element method is used to accommodate the deforming intersection boundaries of the blood and MV. RESULTS: The stress values in the mitral components, and also flow patterns including the regurgitant flow rates are obtained and compared in both conditions through the simulation. These simulations have the potential to improve the treatment of patients with MVP, and also help surgeons to have more realistic insight into the dynamics of the MV in health and prolapse. CONCLUSION: In the prolapse model, computational results show incomplete leaflet coaptation, higher MR severity, and also a significant increment of posterior leaflet stress compared to the normal valve. Moreover, it is found more deviation of the regurgitant jet towards the left atrium wall due to the posterior leaflet prolapse. |
format | Online Article Text |
id | pubmed-10460767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Tabriz University of Medical Sciences (TUOMS Publishing Group) |
record_format | MEDLINE/PubMed |
spelling | pubmed-104607672023-08-29 Comparative modeling of the mitral valve in normal and prolapse conditions Razavi, Seyed Esmail Talebi, Amin Bioimpacts Original Article [Image: see text] INTRODUCTION: Computational modeling is one of the best non-invasive approaches to predicting the functional behavior of the mitral valve (MV) in health and disease. Mitral valve prolapse (MVP) due to partial or complete chordae tendineae rapture is the most common valvular disease and results in mitral regurgitation (MR). METHODS: In this study, Image-based fluid-structure interaction (FSI) models of the human MV are developed in the normal physiological and posterior leaflet prolapse conditions. Detailed geometry of the healthy human MV is derived from Computed Tomography imaging data. To provide prolapse condition, some chords attached to the posterior leaflet are removed from the healthy valve. Both normal and prolapsed valves are embedded separately in a straight tubular blood volume and simulated under physiological systolic pressure loads. The Arbitrary Lagrangian-Eulerian finite element method is used to accommodate the deforming intersection boundaries of the blood and MV. RESULTS: The stress values in the mitral components, and also flow patterns including the regurgitant flow rates are obtained and compared in both conditions through the simulation. These simulations have the potential to improve the treatment of patients with MVP, and also help surgeons to have more realistic insight into the dynamics of the MV in health and prolapse. CONCLUSION: In the prolapse model, computational results show incomplete leaflet coaptation, higher MR severity, and also a significant increment of posterior leaflet stress compared to the normal valve. Moreover, it is found more deviation of the regurgitant jet towards the left atrium wall due to the posterior leaflet prolapse. Tabriz University of Medical Sciences (TUOMS Publishing Group) 2023 2023-01-07 /pmc/articles/PMC10460767/ /pubmed/37645030 http://dx.doi.org/10.34172/bi.2023.24097 Text en © 2023 The Author(s). https://creativecommons.org/licenses/by-nc/4.0/This work is published by BioImpacts as an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ). Non-commercial uses of the work are permitted, provided the original work is properly cited. |
spellingShingle | Original Article Razavi, Seyed Esmail Talebi, Amin Comparative modeling of the mitral valve in normal and prolapse conditions |
title | Comparative modeling of the mitral valve in normal and prolapse conditions |
title_full | Comparative modeling of the mitral valve in normal and prolapse conditions |
title_fullStr | Comparative modeling of the mitral valve in normal and prolapse conditions |
title_full_unstemmed | Comparative modeling of the mitral valve in normal and prolapse conditions |
title_short | Comparative modeling of the mitral valve in normal and prolapse conditions |
title_sort | comparative modeling of the mitral valve in normal and prolapse conditions |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460767/ https://www.ncbi.nlm.nih.gov/pubmed/37645030 http://dx.doi.org/10.34172/bi.2023.24097 |
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