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Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection

Posterior leaflet prolapse following chordal elongation or rupture is one of the primary valvular diseases in patients with degenerative mitral valves (MVs). Quadrangular resection followed by ring annuloplasty is a reliable and reproducible surgical repair technique for treatment of posterior leafl...

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Autores principales: Rim, Yonghoon, Choi, Ahnryul, McPherson, David D., Kim, Hyunggun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477933/
https://www.ncbi.nlm.nih.gov/pubmed/26103002
http://dx.doi.org/10.1371/journal.pone.0130906
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author Rim, Yonghoon
Choi, Ahnryul
McPherson, David D.
Kim, Hyunggun
author_facet Rim, Yonghoon
Choi, Ahnryul
McPherson, David D.
Kim, Hyunggun
author_sort Rim, Yonghoon
collection PubMed
description Posterior leaflet prolapse following chordal elongation or rupture is one of the primary valvular diseases in patients with degenerative mitral valves (MVs). Quadrangular resection followed by ring annuloplasty is a reliable and reproducible surgical repair technique for treatment of posterior leaflet prolapse. Virtual MV repair simulation of leaflet resection in association with patient-specific 3D echocardiographic data can provide quantitative biomechanical and physiologic characteristics of pre- and post-resection MV function. We have developed a solid personalized computational simulation protocol to perform virtual MV repair using standard clinical guidelines of posterior leaflet resection with annuloplasty ring implantation. A virtual MV model was created using 3D echocardiographic data of a patient with posterior chordal rupture and severe mitral regurgitation. A quadrangle-shaped leaflet portion in the prolapsed posterior leaflet was removed, and virtual plication and suturing were performed. An annuloplasty ring of proper size was reconstructed and virtual ring annuloplasty was performed by superimposing the ring and the mitral annulus. Following the quadrangular resection and ring annuloplasty simulations, patient-specific annular motion and physiologic transvalvular pressure gradient were implemented and dynamic finite element simulation of MV function was performed. The pre-resection MV demonstrated a substantial lack of leaflet coaptation which directly correlated with the severe mitral regurgitation. Excessive stress concentration was found along the free marginal edge of the posterior leaflet involving the chordal rupture. Following the virtual resection and ring annuloplasty, the severity of the posterior leaflet prolapse markedly decreased. Excessive stress concentration disappeared over both anterior and posterior leaflets, and complete leaflet coaptation was effectively restored. This novel personalized virtual MV repair strategy has great potential to help with preoperative selection of the patient-specific optimal MV repair techniques, allow innovative surgical planning to expect improved efficacy of MV repair with more predictable outcomes, and ultimately provide more effective medical care for the patient.
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spelling pubmed-44779332015-07-02 Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection Rim, Yonghoon Choi, Ahnryul McPherson, David D. Kim, Hyunggun PLoS One Research Article Posterior leaflet prolapse following chordal elongation or rupture is one of the primary valvular diseases in patients with degenerative mitral valves (MVs). Quadrangular resection followed by ring annuloplasty is a reliable and reproducible surgical repair technique for treatment of posterior leaflet prolapse. Virtual MV repair simulation of leaflet resection in association with patient-specific 3D echocardiographic data can provide quantitative biomechanical and physiologic characteristics of pre- and post-resection MV function. We have developed a solid personalized computational simulation protocol to perform virtual MV repair using standard clinical guidelines of posterior leaflet resection with annuloplasty ring implantation. A virtual MV model was created using 3D echocardiographic data of a patient with posterior chordal rupture and severe mitral regurgitation. A quadrangle-shaped leaflet portion in the prolapsed posterior leaflet was removed, and virtual plication and suturing were performed. An annuloplasty ring of proper size was reconstructed and virtual ring annuloplasty was performed by superimposing the ring and the mitral annulus. Following the quadrangular resection and ring annuloplasty simulations, patient-specific annular motion and physiologic transvalvular pressure gradient were implemented and dynamic finite element simulation of MV function was performed. The pre-resection MV demonstrated a substantial lack of leaflet coaptation which directly correlated with the severe mitral regurgitation. Excessive stress concentration was found along the free marginal edge of the posterior leaflet involving the chordal rupture. Following the virtual resection and ring annuloplasty, the severity of the posterior leaflet prolapse markedly decreased. Excessive stress concentration disappeared over both anterior and posterior leaflets, and complete leaflet coaptation was effectively restored. This novel personalized virtual MV repair strategy has great potential to help with preoperative selection of the patient-specific optimal MV repair techniques, allow innovative surgical planning to expect improved efficacy of MV repair with more predictable outcomes, and ultimately provide more effective medical care for the patient. Public Library of Science 2015-06-23 /pmc/articles/PMC4477933/ /pubmed/26103002 http://dx.doi.org/10.1371/journal.pone.0130906 Text en © 2015 Rim et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Rim, Yonghoon
Choi, Ahnryul
McPherson, David D.
Kim, Hyunggun
Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title_full Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title_fullStr Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title_full_unstemmed Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title_short Personalized Computational Modeling of Mitral Valve Prolapse: Virtual Leaflet Resection
title_sort personalized computational modeling of mitral valve prolapse: virtual leaflet resection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477933/
https://www.ncbi.nlm.nih.gov/pubmed/26103002
http://dx.doi.org/10.1371/journal.pone.0130906
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