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Insight on patient specific computer modeling of transcatheter aortic valve implantation in patients with bicuspid aortic valve disease.
Brouwer, Jorn; Gheorghe, Livia; Nijenhuis, Vincent J; Ten Berg, Jurrien M; Rensing, Benno J W M; van der Heyden, Jan A S; Swaans, Martin J.
Affiliation
  • Brouwer J; St Antonius Hospital, Nieuwegein, The Netherlands.
  • Gheorghe L; St Antonius Hospital, Nieuwegein, The Netherlands.
  • Nijenhuis VJ; St Antonius Hospital, Nieuwegein, The Netherlands.
  • Ten Berg JM; St Antonius Hospital, Nieuwegein, The Netherlands.
  • Rensing BJWM; St Antonius Hospital, Nieuwegein, The Netherlands.
  • van der Heyden JAS; St Antonius Hospital, Nieuwegein, The Netherlands.
  • Swaans MJ; St Antonius Hospital, Nieuwegein, The Netherlands.
Catheter Cardiovasc Interv ; 93(6): 1097-1105, 2019 05 01.
Article in En | MEDLINE | ID: mdl-30461187
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aortic Valve / Aortic Valve Stenosis / Surgery, Computer-Assisted / Transcatheter Aortic Valve Replacement / Patient-Specific Modeling / Heart Valve Diseases / Models, Cardiovascular Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: Catheter Cardiovasc Interv Journal subject: CARDIOLOGIA Year: 2019 Type: Article Affiliation country: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aortic Valve / Aortic Valve Stenosis / Surgery, Computer-Assisted / Transcatheter Aortic Valve Replacement / Patient-Specific Modeling / Heart Valve Diseases / Models, Cardiovascular Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: Catheter Cardiovasc Interv Journal subject: CARDIOLOGIA Year: 2019 Type: Article Affiliation country: Netherlands