School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel.
Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
J Biomech. 2021 Mar 30;118:110309. doi: 10.1016/j.jbiomech.2021.110309. Epub 2021 Feb 8.
Subclinical leaflet thrombosis is becoming a major concern in valve-in-valve procedures, whereby a transcatheter aortic valve device is deployed inside a failed bioprosthetic surgical valve. Blood flow stagnation and prolonged residence times in the neo-sinuses have been suggested as possible explanations for leaflet thrombosis. The BASILICA technique, which was originally developed to treat coronary flow obstruction, has also been proposed as an alternative to reduce the risk of thrombus formation. The aim of this study is to understand the impact of BASILICA on the valve-in-valve thrombogenicity using computational fluid dynamics simulations. To this end, two Eulerian and two Lagrangian approaches were employed to estimate near-wall stagnation measures in eight valve-in-valve models. The models included an intact or lacerated Sorin Mitroflow surgical valve, and either a SAPIEN or Evolut transcatheter aortic valve device. The Lagrangian approaches predicted a high number of particles and vortices concentration in the proximal areas of the neo-sinuses, while the Eulerian approaches did so in the distal areas. As a consequence, this study demonstrated that Lagrangian approaches are better predictors of subclinical leaflet thrombosis, since they match experimental and clinical findings. Additionally, the SAPIEN valve possess a higher risk for developing leaflet thrombosis, and two lacerations are shown to provide the best results in terms of development of vortices and accumulation of particles within the neo-sinuses. This study highlights the potential of computational modeling in aiding clinicians in their decision-making in valve-in-valve and BASILICA procedures.
经导管主动脉瓣置换术中,在已失效的生物瓣中再次植入经导管主动脉瓣装置,瓣叶亚临床血栓形成正成为主要关注点。血流停滞和neo-sinus 内的停留时间延长被认为是瓣叶血栓形成的可能原因。BASILICA 技术最初是为治疗冠状动脉阻塞而开发的,也被提议作为一种替代方法来降低血栓形成的风险。本研究旨在通过计算流体动力学模拟来了解 BASILICA 对经导管主动脉瓣置换术中血栓形成的影响。为此,采用了两种欧拉方法和两种拉格朗日方法来估计 8 个经导管主动脉瓣置换模型中近壁停滞的测量值。模型包括完整或撕裂的 Sorin Mitroflow 外科瓣膜,以及 SAPIEN 或 Evolut 经导管主动脉瓣装置。拉格朗日方法预测近端 neo-sinus 区域有大量粒子和涡旋浓度,而欧拉方法则预测远端有大量粒子和涡旋浓度。因此,本研究表明,拉格朗日方法是亚临床瓣叶血栓形成的更好预测方法,因为它们与实验和临床发现相吻合。此外,SAPIEN 瓣膜发生瓣叶血栓形成的风险较高,而两个撕裂口在 neo-sinus 内形成涡旋和粒子积累方面显示出最佳效果。本研究强调了计算建模在帮助临床医生在经导管主动脉瓣置换术和 BASILICA 手术中做出决策方面的潜力。