The impact of bicuspid valve morphology on the selection of TAVI devices: an in-silico study

生物信息学 二尖瓣 形态学(生物学) 选择(遗传算法) 生物 进化生物学 医学 计算机科学 心脏病学 遗传学 主动脉瓣 人工智能 基因
作者
B Grossi,Giulia Luraghi,Sara Barati,C. López Forte,Luca Gerosa,Ottavia Cozzi,Fabrizio D’Ascenzo,Gianluigi Condorelli,Francesco Migliavacca,Giulio G. Stefanini
标识
DOI:10.1093/ehjimp/qyaf018
摘要

Bicuspid aortic valve (BAV) represents a challenge for transcatheter aortic valve implantation (TAVI). Few data are reported about the procedural implications of BAV using different self-expandable devices. The aim of this study is to investigate how BAV and tricuspid aortic valve (TAV) morphologies influence device selection and their impact on the potential development of post-operative conduction disturbances, using a novel in silico approach. Five patients with BAV undergoing TAVI were enrolled. TAVs were virtually modelled within each BAV patient-specific anatomy, resulting in 10 virtual patients. Acurate Neo2 and Evolut R implantations were subsequently simulated across all cases. Post-implantation stresses exerted on both the stent and aortic root were measured, allowing a comparative analysis of the impact of the two valve morphologies. Comparing stent stresses between BAV and TAV configurations, the stress gap increased by 21.96 ± 5.35% (P = 0.01) in Acurate Neo2 cases (n = 6) compared with Evolut R cases (n = 4). The analysis of aortic root stresses showed no significant differences between BAV (n = 5) and TAV (n = 5) configurations, with a mean stress difference of 5.1 ± 8.17% (P > 0.05). Our patient-specific model shows that high radial force devices, such as Evolut R, demonstrate consistent expansion regardless of valve morphology, without increasing the risk of post-implantation conduction disturbances, hence resulting more suitable for BAV cases. Incorporating this methodology into pre-operative planning could support clinicians in selecting the most suitable device with a patient-specific approach.

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