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Patient-specific Computer Simulation: An Emerging Technology for Guiding the Transcatheter Treatment of Patients with Bicuspid Aortic Valve.

Dowling, C; Gooley, R; McCormick, L; Firoozi, S; Brecker, SJ (2021) Patient-specific Computer Simulation: An Emerging Technology for Guiding the Transcatheter Treatment of Patients with Bicuspid Aortic Valve. Interv Cardiol, 16. e26. ISSN 1756-1485 https://doi.org/10.15420/icr.2021.09
SGUL Authors: Brecker, Stephen

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Abstract

Transcatheter aortic valve implantation (TAVI) is increasingly being used to treat younger, lower-risk patients, many of whom have bicuspid aortic valve (BAV). As TAVI begins to enter these younger patient cohorts, it is critical that clinical outcomes from TAVI in BAV are matched to those achieved by surgery. Therefore, the identification of patients who, on an anatomical basis, may not be suitable for TAVI, would be desirable. Furthermore, clinical outcomes of TAVI in BAV might be improved through improved transcatheter heart valve sizing and positioning. One potential solution to these challenges is patient-specific computer simulation. This review presents the methodology and clinical evidence surrounding patient-specific computer simulation of TAVI in BAV.

Item Type: Article
Additional Information: Copyright © 2021, Radcliffe Cardiology This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly.
Keywords: Aortic valve stenosis, bicuspid aortic valve, computer simulation, finite element analysis, heart valve prosthesis implantation, transcatheter aortic valve replacement
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Interv Cardiol
ISSN: 1756-1485
Language: eng
Dates:
DateEvent
April 2021Published
19 August 2021Published Online
19 July 2021Accepted
Publisher License: Creative Commons: Attribution-Noncommercial 4.0
Projects:
Project IDFunderFunder ID
945698Horizon 2020UNSPECIFIED
PubMed ID: 34721665
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/113836
Publisher's version: https://doi.org/10.15420/icr.2021.09

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