Finite Element Modeling Using Patient-Specific Geometry to Predict Aortic Valve Insufficiency During Percutaneous Pulmonary Valve Implantation

Carly L. Donahue, V. Aggarwal, V. Barocas
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Abstract

Percutaneous pulmonary valve implantation (PPVI) is a non-surgical treatment in which a stented valve is delivered via catheter to replace a stenosed or leaky pulmonary valve. Stent oversizing is used to anchor the valve within the right ventricular outflow tract (RVOT), but overexpansion may interfere with adjoining structures specifically the aortic root and coronary arteries. Potential devastating consequences include distortion of the aortic sinus, causing aortic valve insufficiency, and/or compression of the coronary arteries. Because the outcome of PPVI is determined by the patient’s anatomy, we propose a method that uses patient-specific finite-element (FE) models constructed from pre-procedural cross-sectional CT scan images to evaluate these potential risks prior to clinical intervention. In five cases from an ongoing retrospective study, our preliminary results demonstrate our model’s ability to accurately identify the risk of aortic valve insufficiency as a consequence of the PPVI procedure.
应用特定几何形状的有限元模型预测经皮肺动脉瓣植入术中主动脉瓣功能不全
经皮肺动脉瓣植入术(PPVI)是一种非手术治疗方法,通过导管植入支架瓣膜以取代狭窄或泄漏的肺动脉瓣。超大支架用于将瓣膜固定在右心室流出道(RVOT)内,但过度扩张可能会干扰邻近结构,特别是主动脉根和冠状动脉。潜在的破坏性后果包括主动脉窦扭曲,导致主动脉瓣功能不全,和/或冠状动脉受压。由于PPVI的结果是由患者的解剖结构决定的,我们提出了一种方法,利用术前横断面CT扫描图像构建的患者特定有限元(FE)模型,在临床干预之前评估这些潜在风险。在一项正在进行的回顾性研究中,我们的初步结果表明,我们的模型能够准确识别PPVI手术导致的主动脉瓣功能不全的风险。
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