Key result
In-silico TAVI planning in bicuspid valves proves feasible for identifying tissue stress and PVL risk.
Why the study?
Bicuspid aortic valve patients are usually excluded from TAVI due to likely oval expansion, and computational insights on TAVI in BAV are needed.
Patient-specific computational modeling of TAVI in bicuspid aortic valves can identify areas of high tissue stress and risk for paravalvular leakage, potentially aiding in virtual pre-procedural planning.
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In-silico TAVI planning may identify bicuspid valve risks; leaves open clinical benefit pending prospective validation.
Pasta et al. (2021) studied Bicuspid aortic valve (BAV) with severe stenosis. Transcatheter aortic valve implantation (TAVI) was evaluated on Tissue stress and area at risk of paravalvular leakage (PVL). Numerical simulations of TAVI in a bicuspid aortic valve anatomy identified local tissue stress maxima and areas at risk of paravalvular leakage, demonstrating the feasibility of in-silico planning.
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