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Computed Tomography Planning for Transcatheter Mitral Valve Replacement
Transcatheter mitral valve replacement (TMVR) is a rapidly evolving treatment for mitral regurgitation. As with transcatheter aortic valve replacement, multidetector computed tomography analysis plays a central role in defining the candidacy, device selection and safety for TMVR procedures. This con...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236884/ https://www.ncbi.nlm.nih.gov/pubmed/37273483 http://dx.doi.org/10.1016/j.shj.2022.100012 |
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author | Hashimoto, Go Lopes, Bernardo B.C. Sato, Hirotomo Fukui, Miho Garcia, Santiago Gössl, Mario Enriquez-Sarano, Maurice Sorajja, Paul Bapat, Vinayak N. Lesser, John Cavalcante, João L. |
author_facet | Hashimoto, Go Lopes, Bernardo B.C. Sato, Hirotomo Fukui, Miho Garcia, Santiago Gössl, Mario Enriquez-Sarano, Maurice Sorajja, Paul Bapat, Vinayak N. Lesser, John Cavalcante, João L. |
author_sort | Hashimoto, Go |
collection | PubMed |
description | Transcatheter mitral valve replacement (TMVR) is a rapidly evolving treatment for mitral regurgitation. As with transcatheter aortic valve replacement, multidetector computed tomography analysis plays a central role in defining the candidacy, device selection and safety for TMVR procedures. This contemporary review will describe in detail the multidetector computed tomography data collection, analysis, and planning for TMVR procedures in patients with native mitral regurgitation as well as in those with failed surgical prosthetic mitral valve replacement or surgical mitral valve repair. |
format | Online Article Text |
id | pubmed-10236884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102368842023-06-02 Computed Tomography Planning for Transcatheter Mitral Valve Replacement Hashimoto, Go Lopes, Bernardo B.C. Sato, Hirotomo Fukui, Miho Garcia, Santiago Gössl, Mario Enriquez-Sarano, Maurice Sorajja, Paul Bapat, Vinayak N. Lesser, John Cavalcante, João L. Struct Heart Review Article Transcatheter mitral valve replacement (TMVR) is a rapidly evolving treatment for mitral regurgitation. As with transcatheter aortic valve replacement, multidetector computed tomography analysis plays a central role in defining the candidacy, device selection and safety for TMVR procedures. This contemporary review will describe in detail the multidetector computed tomography data collection, analysis, and planning for TMVR procedures in patients with native mitral regurgitation as well as in those with failed surgical prosthetic mitral valve replacement or surgical mitral valve repair. Elsevier 2022-04-26 /pmc/articles/PMC10236884/ /pubmed/37273483 http://dx.doi.org/10.1016/j.shj.2022.100012 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Article Hashimoto, Go Lopes, Bernardo B.C. Sato, Hirotomo Fukui, Miho Garcia, Santiago Gössl, Mario Enriquez-Sarano, Maurice Sorajja, Paul Bapat, Vinayak N. Lesser, John Cavalcante, João L. Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title | Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title_full | Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title_fullStr | Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title_full_unstemmed | Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title_short | Computed Tomography Planning for Transcatheter Mitral Valve Replacement |
title_sort | computed tomography planning for transcatheter mitral valve replacement |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236884/ https://www.ncbi.nlm.nih.gov/pubmed/37273483 http://dx.doi.org/10.1016/j.shj.2022.100012 |
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