Literature DB >> 27395760

A validated methodology for patient specific computational modeling of self-expandable transcatheter aortic valve implantation.

Bart Bosmans1, Nele Famaey2, Eva Verhoelst3, Johan Bosmans4, Jos Vander Sloten2.   

Abstract

Leakage of blood alongside the implant is a relatively frequent and life-limiting complication after transcatheter aortic valve implantation. The aim of this study is to develop and validate a workflow to simulate the implantation prior to the intervention. Based on the simulation outcome, the amount of leakage is estimated in order to evaluate the risk of a severe complication. A finite element model of the stent implantation in 10 patients was created based on a pre-operative computed tomography scan. All 10 patients also received a follow-up computed tomography scan, after the implantation. This scan was used to extract the deformed geometry of the stent and the position of the calcifications for validation of the simulation results. The maximal average perimeter difference between the simulated stent and the post-operative stent is 2.9±2.1mm, and occurs at the bottom of the device. The sensitivity of the simulation to the soft tissue material parameters and aortic root wall thickness was tested. The maximal diameter deviation of 6% occurred when the thickness of the aortic root was doubled. The result of the leakage analysis based on the distance between the simulated stent and the surrounding aortic root corresponded well when no regurgitation was observed. The developed tools have the potential to reduce the occurrence and severity of leakage by providing the clinician with additional information prior to the intervention. The simulated geometry and estimated leakage can help decide on the best implant type, size and position before treatment.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Finite element simulation; Patient-specific; Transcatheter aortic valve implantation

Mesh:

Year:  2016        PMID: 27395760     DOI: 10.1016/j.jbiomech.2016.06.024

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


  11 in total

1.  Modeling risk of coronary obstruction during transcatheter aortic valve replacement.

Authors:  Megan Heitkemper; Hoda Hatoum; Amirsepehr Azimian; Breandan Yeats; Jennifer Dollery; Bryan Whitson; Greg Rushing; Juan Crestanello; Scott M Lilly; Lakshmi Prasad Dasi
Journal:  J Thorac Cardiovasc Surg       Date:  2019-05-18       Impact factor: 5.209

2.  Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation.

Authors:  Bart Bosmans; Toon Huysmans; Patricia Lopes; Eva Verhoelst; Tim Dezutter; Peter de Jaegere; Jan Sijbers; Jos Vander Sloten; Johan Bosmans
Journal:  Med Biol Eng Comput       Date:  2019-10       Impact factor: 2.602

3.  The Impact of Size and Position of a Mechanical Expandable Transcatheter Aortic Valve: Novel Insights Through Computational Modelling and Simulation.

Authors:  Giorgia Rocatello; Nahid El Faquir; Ole de Backer; Martin J Swaans; Azeem Latib; Luca Vicentini; Patrick Segers; Matthieu De Beule; Peter de Jaegere; Peter Mortier
Journal:  J Cardiovasc Transl Res       Date:  2019-08-23       Impact factor: 4.132

Review 4.  Principles of TAVR valve design, modelling, and testing.

Authors:  Oren M Rotman; Matteo Bianchi; Ram P Ghosh; Brandon Kovarovic; Danny Bluestein
Journal:  Expert Rev Med Devices       Date:  2018-10-29       Impact factor: 3.166

5.  Numerical Parametric Study of Paravalvular Leak Following a Transcatheter Aortic Valve Deployment Into a Patient-Specific Aortic Root.

Authors:  Wenbin Mao; Qian Wang; Susheel Kodali; Wei Sun
Journal:  J Biomech Eng       Date:  2018-10-01       Impact factor: 2.097

6.  Patient-Specific Immersed Finite Element-Difference Model of Transcatheter Aortic Valve Replacement.

Authors:  Jordan A Brown; Jae H Lee; Margaret Anne Smith; David R Wells; Aaron Barrett; Charles Puelz; John P Vavalle; Boyce E Griffith
Journal:  Ann Biomed Eng       Date:  2022-10-20       Impact factor: 4.219

7.  Biomechanical modeling of transcatheter aortic valve replacement in a stenotic bicuspid aortic valve: deployments and paravalvular leakage.

Authors:  Karin Lavon; Gil Marom; Matteo Bianchi; Rotem Halevi; Ashraf Hamdan; Adi Morany; Ehud Raanani; Danny Bluestein; Rami Haj-Ali
Journal:  Med Biol Eng Comput       Date:  2019-08-01       Impact factor: 2.602

8.  Numerical evaluation of transcatheter aortic valve performance during heart beating and its post-deployment fluid-structure interaction analysis.

Authors:  Ram P Ghosh; Gil Marom; Matteo Bianchi; Karl D'souza; Wojtek Zietak; Danny Bluestein
Journal:  Biomech Model Mechanobiol       Date:  2020-02-24

9.  How do imaging protocols affect the assessment of root-end fillings?

Authors:  Fernanda Ferrari Esteves Torres; Reinhilde Jacobs; Mostafa EzEldeen; Karla de Faria-Vasconcelos; Juliane Maria Guerreiro-Tanomaru; Bernardo Camargo Dos Santos; Mário Tanomaru-Filho
Journal:  Restor Dent Endod       Date:  2021-12-15

10.  The native aortic valve reduces paravalvular leak in TAVR patients.

Authors:  Anthony R Prisco; Jorge Zhingre-Sanchez; Lars Mattison; Demetris Yannopoulos; Ganesh Raveendran; Paul A Iaizzo; Sergey Gurevich
Journal:  Front Physiol       Date:  2022-08-05       Impact factor: 4.755

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