Literature DB >> 32147238

Finite element analysis of MitraClip procedure on a patient-specific model with functional mitral regurgitation.

Fanwei Kong1, Andrés Caballero1, Raymond McKay2, Wei Sun3.   

Abstract

Mitral valve (MV) repair with the MitraClip device has been shown to reduce mitral regurgitation severity and improve clinical outcomes in symptomatic patients at high surgical risk. MitraClip was recently approved in the US for the treatment of functional mitral regurgitation (FMR), which significantly expands the number of patients that can be treated with this device. This study aims to quantify the morphologic changes and evaluate the biomechanical interaction between the MitraClip device and the mitral apparatus of a real patient case with FMR using computational modeling. MitraClip procedures using a central and a lateral clip were simulated in a validated MV-left ventricle finite element (FE) model with severe MR. The patient-specific model integrated detailed geometries of the left ventricle, mitral leaflets and chordae, incorporated age- and gender-matched nonlinear hyperelastic human material properties, and accounted for chordae tethering forces. Central and lateral positioning gave similar biomechanical outcomes resulting in an improved but incomplete MV coaptation. Antero-posterior distance, annulus area, valve opening orifice area, and regurgitant orifice area decreased by up to 26%, 19%, 48% and 63% when compared to the pre-clip model, respectively. Anterior and posterior leaflet peak stresses increased by up to 64% and 62% after clip placement, respectively, and were located at the region of clip grasp. Similarly, anterior and posterior leaflet peak strains increased by up to 20% and 10%, respectively. FE modeling, as used here, can be a powerful tool to examine the complex MitraClip-host biomechanical interaction.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Edge-to-edge; Finite element; Functional mitral regurgitation; MitraClip; Mitral valve; Patient-specific

Mesh:

Year:  2020        PMID: 32147238     DOI: 10.1016/j.jbiomech.2020.109730

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  A Computational Framework for Atrioventricular Valve Modeling Using Open-Source Software.

Authors:  Wensi Wu; Stephen Ching; Steve A Maas; Andras Lasso; Patricia Sabin; Jeffrey A Weiss; Matthew A Jolley
Journal:  J Biomech Eng       Date:  2022-10-01       Impact factor: 1.899

2.  A Comprehensive Engineering Analysis of Left Heart Dynamics After MitraClip in a Functional Mitral Regurgitation Patient.

Authors:  Andrés Caballero; Wenbin Mao; Raymond McKay; Rebecca T Hahn; Wei Sun
Journal:  Front Physiol       Date:  2020-05-07       Impact factor: 4.566

3.  Computer simulations of transapical mitral valve repair with neochordae implantation: Clinical implications.

Authors:  Andrés Caballero; Raymond McKay; Wei Sun
Journal:  JTCVS Open       Date:  2020-06-06

4.  Mitral Valve Atlas for Artificial Intelligence Predictions of MitraClip Intervention Outcomes.

Authors:  Yaghoub Dabiri; Jiang Yao; Vaikom S Mahadevan; Daniel Gruber; Rima Arnaout; Wolfgang Gentzsch; Julius M Guccione; Ghassan S Kassab
Journal:  Front Cardiovasc Med       Date:  2021-12-10
  4 in total

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