Key result
Patient-specific TAVR modeling shows optimal orientation minimizes thrombogenicity and PVL reaching ~22 mL/beat.
Why the study?
No clinical modality reliably assists clinicians in selecting the optimal TAVR device orientation, which is critical for young bicuspid aortic valve patients at high risk for complications.
Does patient-specific computational modeling of TAVR device type and orientation predict the risk of post-TAVR complications in BAV patients?
Does patient-specific computational modeling of TAVR device type and orientation predict the risk of post-TAVR complications in BAV patients?
Patient-specific computational modeling can identify optimal TAVR device type and orientation to minimize complications like PVL in bicuspid aortic valve patients.
May guide TAVR orientation to limit PVL in BAV; hypothesis-generating and requires clinical validation before adoption.
Currently, no clinical modality reliably assists clinicians in selecting the optimal transcatheter aortic valve replacement (TAVR) device orientation. This is critical for the growing population of young bicuspid aortic valve (BAV) TAVR candidates, who are at high risk for post-procedural complications. We aim to develop a predictive computational modeling workflow to identify which TAVR device and orientation will minimize the risk of paravalvular leakage (PVL), coronary obstruction, and flow-induced thrombogenicity. We compared the risk of post-TAVR complications across more than 30 device orientation combinations by virtually implanting self-expandable and balloon-expandable TAVR devices in three BAV patients. PVL severity varied significantly with device orientation, reaching up to 22.03 mL/beat with certain self-expandable devices. For self-expandable devices, orientations that ensured the shortest distance between the taller skirt region and PVL regions minimized PVL. A shorter frame height in balloon-expandable devices was insufficient to cover PVL regions in certain patients. Pearson correlation demonstrated a negative relationship between device oversizing and PVL. The risk of flow-induced thrombogenicity was positively correlated with PVL severity. A patient-specific computational modeling workflow can identify the optimal TAVR device and orientation, minimizing life-threatening post-TAVR complications and facilitating future reinterventions for young BAV TAVR candidates.
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Anam et al. (2025) studied Bicuspid aortic valve requiring TAVR (n=3). Virtual implantation of self-expandable and balloon-expandable TAVR devices vs. Different device orientation combinations was evaluated on Risk of paravalvular leakage (PVL), coronary obstruction, and flow-induced thrombogenicity. Patient-specific computational modeling of TAVR device orientation showed PVL severity varied significantly, reaching up to 22.03 mL/beat, with optimal orientation minimizing PVL and thrombogenicity.
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