Key result
Patient-specific finite element simulations of TAVR predicted implanted stent diameters with a mean difference of 2.5 ± 3.9% compared to fluoroscopy and detected paravalvular leakage in 79% of cases.
Mean Difference: 2.5
Patient-specific finite element simulations can accurately predict stent diameter and paravalvular leakage in TAVR, potentially aiding clinical decision-making for percutaneous valve selection.
May support TAVR planning; leaves open routine use pending prospective validation.
Patient-specific computational models are an established tool to support device development and test under clinically relevant boundary conditions. Potentially, such models could be used to aid the clinical decision-making process for percutaneous valve selection; however, their adoption in clinical practice is still limited to individual cases. To be fully informative, they should include patient-specific data on both anatomy and mechanics of the implantation site. In this work, fourteen patient-specific computational models for transcatheter aortic valve replacement (TAVR) with balloon-expandable Sapien XT devices were retrospectively developed to tune the material parameters of the implantation site mechanical model for the average TAVR population. Pre-procedural computed tomography (CT) images were post-processed to create the 3D patient-specific anatomy of the implantation site. Balloon valvuloplasty and device deployment were simulated with finite element (FE) analysis. Valve leaflets and aortic root were modelled as linear elastic materials, while calcification as elastoplastic. Material properties were initially selected from literature; then, a statistical analysis was designed to investigate the effect of each implantation site material parameter on the implanted stent diameter and thus identify the combination of material parameters for TAVR patients. These numerical models were validated against clinical data. The comparison between stent diameters measured from post-procedural fluoroscopy images and final computational results showed a mean difference of 2.5 ± 3.9%. Moreover, the numerical model detected the presence of paravalvular leakage (PVL) in 79% of cases, as assessed by post-TAVR echocardiographic examination. The final aim was to increase accuracy and reliability of such computational tools for prospective clinical applications.
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Bosi et al. (2018) studied Transcatheter aortic valve replacement (TAVR) (n=14). Patient-specific finite element simulations vs. Clinical data (fluoroscopy and echocardiography) was evaluated on Stent diameter difference between computational results and post-procedural fluoroscopy images (mean difference of 2.5 ± 3.9%). Patient-specific finite element simulations of TAVR predicted implanted stent diameters with a mean difference of 2.5 ± 3.9% compared to fluoroscopy and detected paravalvular leakage in 79% of cases.
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