Fonken Judith H C, Maas Esther J, Nievergeld Arjet H M, van Sambeek Marc R H M, van de Vosse Frans N, Lopata Richard G P
Photoacoustics & Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Department of Vascular Surgery, Catharina Hospital Eindhoven, Eindhoven, Netherlands.
Front Physiol. 2021 Aug 13;12:717593. doi: 10.3389/fphys.2021.717593. eCollection 2021.
Currently, the prediction of rupture risk in abdominal aortic aneurysms (AAAs) solely relies on maximum diameter. However, wall mechanics and hemodynamics have shown to provide better risk indicators. Patient-specific fluid-structure interaction (FSI) simulations based on a non-invasive image modality are required to establish a patient-specific risk indicator. In this study, a robust framework to execute FSI simulations based on time-resolved three-dimensional ultrasound (3D+t US) data was obtained and employed on a data set of 30 AAA patients. Furthermore, the effect of including a pre-stress estimation (PSE) to obtain the stresses present in the measured geometry was evaluated. The established workflow uses the patient-specific 3D+t US-based segmentation and brachial blood pressure as input to generate meshes and boundary conditions for the FSI simulations. The 3D+t US-based FSI framework was successfully employed on an extensive set of AAA patient data. Omitting the pre-stress results in increased displacements, decreased wall stresses, and deviating time-averaged wall shear stress and oscillatory shear index patterns. These results underline the importance of incorporating pre-stress in FSI simulations. After validation, the presented framework provides an important tool for personalized modeling and longitudinal studies on AAA growth and rupture risk.
目前,腹主动脉瘤(AAA)破裂风险的预测仅依赖于最大直径。然而,壁力学和血流动力学已显示能提供更好的风险指标。需要基于非侵入性成像方式进行患者特异性的流固耦合(FSI)模拟,以建立患者特异性的风险指标。在本研究中,获得了一个基于时间分辨三维超声(3D+t US)数据执行FSI模拟的稳健框架,并应用于30例AAA患者的数据集。此外,还评估了纳入预应力估计(PSE)以获取测量几何形状中存在的应力的效果。所建立的工作流程使用基于患者特异性3D+t US的分割和肱动脉血压作为输入,为FSI模拟生成网格和边界条件。基于3D+t US的FSI框架已成功应用于大量AAA患者数据。忽略预应力会导致位移增加、壁应力降低以及时间平均壁面剪应力和振荡剪应力指数模式出现偏差。这些结果强调了在FSI模拟中纳入预应力的重要性。经过验证后,所提出的框架为AAA生长和破裂风险的个性化建模及纵向研究提供了一个重要工具。