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Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling.
Esmailie, Fateme; Razavi, Atefeh; Yeats, Breandan; Sivakumar, Sri Krishna; Chen, Huang; Samaee, Milad; Shah, Imran A; Veneziani, Alessandro; Yadav, Pradeep; Thourani, Vinod H; Dasi, Lakshmi Prasad.
Afiliación
  • Esmailie F; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Razavi A; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Yeats B; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Sivakumar SK; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Chen H; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Samaee M; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Shah IA; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
  • Veneziani A; Department of Mathematics, Department of Computer Science, Emory University, Atlanta, Georgia, USA.
  • Yadav P; Department of Cardiology, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USA.
  • Thourani VH; Department of Cardiovascular Surgery, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USA.
  • Dasi LP; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA.
Struct Heart ; 6(2): 100032, 2022 Jun.
Article en En | MEDLINE | ID: mdl-37273734
Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device-patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Struct Heart Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Struct Heart Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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