Literature DB >> 26748728

Prediction of patient-specific post-operative outcomes of TAVI procedure: The impact of the positioning strategy on valve performance.

S Morganti1, N Brambilla2, A S Petronio3, A Reali4, F Bedogni2, F Auricchio4.   

Abstract

Prosthesis positioning in transcatheter aortic valve implantation procedures represents a crucial aspect for procedure success as demonstrated by many recent studies on this topic. Possible complications, device performance, and, consequently, also long-term durability are highly affected by the adopted prosthesis placement strategy. In the present work, we develop a computational finite element model able to predict device-specific and patient-specific replacement procedure outcomes, which may help medical operators to plan and choose the optimal implantation strategy. We focus in particular on the effects of prosthesis implantation depth and release angle. We start from a real clinical case undergoing Corevalve self-expanding device implantation. Our study confirms the crucial role of positioning in determining valve anchoring, replacement failure due to intra or para-valvular regurgitation, and post-operative device deformation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Finite element analysis; Patient-specific modeling; TAVI

Mesh:

Year:  2015        PMID: 26748728     DOI: 10.1016/j.jbiomech.2015.10.048

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


  16 in total

1.  The impact of balloon-expandable transcatheter aortic valve replacement on concomitant mitral regurgitation: a comprehensive computational analysis.

Authors:  Andrés Caballero; Wenbin Mao; Raymond McKay; Wei Sun
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

2.  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

3.  Simulation study of transcatheter heart valve implantation in patients with stenotic bicuspid aortic valve.

Authors:  Salvatore Pasta; Stefano Cannata; Giovanni Gentile; Marzio Di Giuseppe; Federica Cosentino; Francesca Pasta; Valentina Agnese; Diego Bellavia; Giuseppe M Raffa; Michele Pilato; Caterina Gandolfo
Journal:  Med Biol Eng Comput       Date:  2020-02-06       Impact factor: 2.602

4.  A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; Wei Sun
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

Review 5.  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

6.  Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images.

Authors:  Liang Liang; Fanwei Kong; Caitlin Martin; Thuy Pham; Qian Wang; James Duncan; Wei Sun
Journal:  Int J Numer Method Biomed Eng       Date:  2016-10-07       Impact factor: 2.747

7.  Effect of Balloon-Expandable Transcatheter Aortic Valve Replacement Positioning: A Patient-Specific Numerical Model.

Authors:  Matteo Bianchi; Gil Marom; Ram P Ghosh; Harold A Fernandez; James R Taylor; Marvin J Slepian; Danny Bluestein
Journal:  Artif Organs       Date:  2016-12       Impact factor: 3.094

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.  A framework for designing patient-specific bioprosthetic heart valves using immersogeometric fluid-structure interaction analysis.

Authors:  Fei Xu; Simone Morganti; Rana Zakerzadeh; David Kamensky; Ferdinando Auricchio; Alessandro Reali; Thomas J R Hughes; Michael S Sacks; Ming-Chen Hsu
Journal:  Int J Numer Method Biomed Eng       Date:  2018-01-25       Impact factor: 2.747

10.  CoreValve vs. Sapien 3 Transcatheter Aortic Valve Replacement: A Finite Element Analysis Study.

Authors:  Francesco Nappi; Laura Mazzocchi; Cristiano Spadaccio; David Attias; Irina Timofeva; Laurent Macron; Adelaide Iervolino; Simone Morganti; Ferdinando Auricchio
Journal:  Bioengineering (Basel)       Date:  2021-04-27
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