Literature DB >> 21658986

A computational tool to support pre-operative planning of stentless aortic valve implant.

F Auricchio1, M Conti, S Morganti, P Totaro.   

Abstract

In some cases of aortic valve leaflet disease, the implant of a stentless biological prosthesis represents an excellent option for aortic valve replacement (AVR). In particular, if compared to more classical surgical approaches, it provides a more physiological hemodynamic performance and a minor trombogeneticity avoiding the use of anticoagulants. The clinical outcomes of AVR are strongly dependent on an appropriate choice of both prosthesis size and replacement technique, which are, at present, strictly related to surgeon's experience and skill. Therefore, also this treatment, like most reconstructive procedures in cardiac surgery, remains "more art than science". Nowadays computational methodologies represent a useful tool both to investigate the aortic valve behavior, in physiologic and pathologic conditions and to reproduce virtual post-operative scenarios. The present study aims at supporting the AVR procedure planning through a patient-specific Finite Element Analysis (FEA) of stentless valve implantation. Firstly, we perform FEA to simulate the prosthesis placement inside the patient-specific aortic root; then, we reproduce, again by means of FEA, the diastolic closure of the valve to evaluate both the coaptation and the stress/strain state. The simulation results prove that both the valve size and the anatomical asymmetry of the Valsalva sinuses affect the prosthesis placement procedure.
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21658986     DOI: 10.1016/j.medengphy.2011.05.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

1.  Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts.

Authors:  Juan E Ortuño; Gonzalo Vegas-Sánchez-Ferrero; Juan J Gómez-Valverde; Marcus Y Chen; Andrés Santos; Elliot R McVeigh; María J Ledesma-Carbayo
Journal:  Med Image Anal       Date:  2020-06-06       Impact factor: 8.545

2.  Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment.

Authors:  Qian Wang; Eric Sirois; Wei Sun
Journal:  J Biomech       Date:  2012-06-13       Impact factor: 2.712

3.  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

Review 4.  Biomechanics of Transcatheter Aortic Valve Implant.

Authors:  Francesco Nappi; Sanjeet Singh Avtaar Singh; Pierluigi Nappi; Antonio Fiore
Journal:  Bioengineering (Basel)       Date:  2022-07-04

5.  Enhancing physiologic simulations using supervised learning on coarse mesh solutions.

Authors:  Kumaran Kolandaivelu; Caroline C O'Brien; Tarek Shazly; Elazer R Edelman; Vijaya B Kolachalama
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.293

  5 in total

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