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Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling

Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rup...

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Autores principales: Esmailie, Fateme, Razavi, Atefeh, Yeats, Breandan, Sivakumar, Sri Krishna, Chen, Huang, Samaee, Milad, Shah, Imran A., Veneziani, Alessandro, Yadav, Pradeep, Thourani, Vinod H., Dasi, Lakshmi Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236878/
https://www.ncbi.nlm.nih.gov/pubmed/37273734
http://dx.doi.org/10.1016/j.shj.2022.100032
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author Esmailie, Fateme
Razavi, Atefeh
Yeats, Breandan
Sivakumar, Sri Krishna
Chen, Huang
Samaee, Milad
Shah, Imran A.
Veneziani, Alessandro
Yadav, Pradeep
Thourani, Vinod H.
Dasi, Lakshmi Prasad
author_facet Esmailie, Fateme
Razavi, Atefeh
Yeats, Breandan
Sivakumar, Sri Krishna
Chen, Huang
Samaee, Milad
Shah, Imran A.
Veneziani, Alessandro
Yadav, Pradeep
Thourani, Vinod H.
Dasi, Lakshmi Prasad
author_sort Esmailie, Fateme
collection PubMed
description Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device–patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section.
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spelling pubmed-102368782023-06-02 Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling Esmailie, Fateme Razavi, Atefeh Yeats, Breandan Sivakumar, Sri Krishna Chen, Huang Samaee, Milad Shah, Imran A. Veneziani, Alessandro Yadav, Pradeep Thourani, Vinod H. Dasi, Lakshmi Prasad Struct Heart Review Article Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device–patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section. Elsevier 2022-06-03 /pmc/articles/PMC10236878/ /pubmed/37273734 http://dx.doi.org/10.1016/j.shj.2022.100032 Text en © 2022 The Authors. Published by Elsevier Inc. on behalf of Cardiovascular Research Foundation. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Esmailie, Fateme
Razavi, Atefeh
Yeats, Breandan
Sivakumar, Sri Krishna
Chen, Huang
Samaee, Milad
Shah, Imran A.
Veneziani, Alessandro
Yadav, Pradeep
Thourani, Vinod H.
Dasi, Lakshmi Prasad
Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title_full Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title_fullStr Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title_full_unstemmed Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title_short Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
title_sort biomechanics of transcatheter aortic valve replacement complications and computational predictive modeling
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236878/
https://www.ncbi.nlm.nih.gov/pubmed/37273734
http://dx.doi.org/10.1016/j.shj.2022.100032
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