Literature DB >> 30461187

Insight on patient specific computer modeling of transcatheter aortic valve implantation in patients with bicuspid aortic valve disease.

Jorn Brouwer1, Livia Gheorghe1, Vincent J Nijenhuis1, Jurrien M Ten Berg1, Benno J W M Rensing1, Jan A S van der Heyden1, Martin J Swaans1.   

Abstract

OBJECTIVE: The aim of this study was to describe the early use of dedicated patient specific computer modeling in patients with bicuspid aortic valve (BAV) undergoing transcatheter aortic valve implantation (TAVI), in predicting procedure feasibility and patient related outcome.
BACKGROUND: Dedicated patient specific computer modeling, used for optimizing TAVI procedures, is currently validated for the prediction of contact pressure, valve morphology and paravalvular leakage (PVL). The simulation of TAVI procedures is increasingly used in patients with tricuspid aortic valve stenosis. Currently, BAV disease is considered as a relative contra-indication for TAVI due to its specific anatomical characteristics.
METHODS: This single center study consisted of seven patients with BAV undergoing TAVI. A patient specific computer simulation was performed based on multislice computer tomography images. The model advised the best fitting prosthetic valve size or sizes and simulated this valve on different implantation depths with the corresponding presence and severity of PVL and prosthetic valve morphology. The simulation results were compared with the procedural outcomes using transesophageal echocardiography (TEE) and fluoroscopy.
RESULTS: The patient specific computer modeling predicted accurately the outcome (PVL and valve morphology) of TAVI in all cases. In one case, the TAVI procedure was unsuccessful and retrospectively not suitable for TAVI, which was correctly predicted by the model.
CONCLUSION: The patient specific computer modeling adequately predicts feasibility and outcome of TAVI in patients with BAV disease and may extend the applicability of TAVI. Moreover, it improves decision-making and therefore individual procedural outcomes in this difficult patient population.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  aortic valve disease; electron beam CT/multidetector CT; imaging; percutaneous intervention; transcatheter valve implantation

Mesh:

Year:  2018        PMID: 30461187     DOI: 10.1002/ccd.27990

Source DB:  PubMed          Journal:  Catheter Cardiovasc Interv        ISSN: 1522-1946            Impact factor:   2.692


  2 in total

1.  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

2.  Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models.

Authors:  Elias Karabelas; Stefano Longobardi; Jana Fuchsberger; Orod Razeghi; Cristobal Rodero; Marina Strocchi; Ronak Rajani; Gundolf Haase; Gernot Plank; Steven Niederer
Journal:  IEEE Trans Biomed Eng       Date:  2022-09-19       Impact factor: 4.756

  2 in total

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