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腔内修复术后呼吸诱导的肾动脉变形的计算机模拟

Computational Simulation of Respiration-Induced Deformation of Renal Arteries After EVAR.

作者信息

Corvo Alessandra, Avril Stéphane, Aliseda Alberto, Haulon Stéphan, Chassagne Fanette

机构信息

Mines Saint-Etienne, INSERM, U1059 SAINBIOSE, F42023, Saint-Etienne, France.

Department of Mechanical Engineering, University of Washington, Seattle, WA, 98105, USA.

出版信息

Ann Biomed Eng. 2025 Jul 22. doi: 10.1007/s10439-025-03806-y.

Abstract

PURPOSE

Fenestrated endovascular aneurysm repair (fEVAR) is widely used to treat complex abdominal aortic aneurysms, requiring renal artery stenting. However, complications such as occlusion can occur within the renal arteries. This study examines the effect of respiration-induced deformations, using patient-specific models and computational simulations. By investigating the impact of stenting and breathing, this research aims to improve surgical pre-planning and minimize EVAR complications.

METHODS

Pre-EVAR geometries from CT scans were segmented and meshed. Respiratory-induced displacements were applied to the segmented ends of the renal arteries to simulate breathing. The deployment process was achieved via balloon expansion, testing bridging stent-grafts with different lengths. To evaluate the accuracy of the workflow, simulated results and post-op CT scans were compared using centerline analysis, measuring morphological differences between the patient-specific models and the actual patients.

RESULTS

Numerical simulations accurately predicted renal artery movement during respiration, aligning with in vivo measurements. Simulated stent-graft configurations closely matched post-EVAR CT scans. Stent-graft protrusions into the aortic lumen were within the expected range, indicating correct positioning. Longer stent-grafts constrained renal artery movement, affecting branching angle changes, while shorter grafts had a less pronounced impact.

CONCLUSIONS

Our novel digital twin model accurately simulates fEVAR procedures, including the deployment of renal bridging stent-grafts. Numerical simulations capture the bending of the renal arteries during breathing and their morphological changes following stenting in the post-operative configurations. Future research aims to expand the patient cohort and combine the solid mechanics simulations with CFD analysis.

摘要

目的

开窗型血管内动脉瘤修复术(fEVAR)广泛用于治疗复杂腹主动脉瘤,这需要进行肾动脉支架置入。然而,肾动脉内可能会出现诸如闭塞等并发症。本研究使用患者特异性模型和计算模拟来研究呼吸引起的变形的影响。通过研究支架置入和呼吸的影响,本研究旨在改进手术预规划并将血管内动脉瘤修复术(EVAR)并发症降至最低。

方法

对CT扫描获得的血管内动脉瘤修复术前的几何结构进行分割和网格化。将呼吸引起的位移应用于肾动脉的分割端以模拟呼吸。通过球囊扩张实现植入过程,测试不同长度的桥接覆膜支架。为了评估工作流程的准确性,使用中心线分析比较模拟结果和术后CT扫描,测量患者特异性模型与实际患者之间的形态差异。

结果

数值模拟准确预测了呼吸过程中肾动脉的运动,与体内测量结果一致。模拟的覆膜支架配置与血管内动脉瘤修复术后的CT扫描紧密匹配。覆膜支架向主动脉腔内的突出在预期范围内,表明定位正确。较长的覆膜支架限制了肾动脉的运动,影响分支角度变化,而较短的覆膜支架影响较小。

结论

我们新颖的数字孪生模型准确模拟了开窗型血管内动脉瘤修复术过程,包括肾桥接覆膜支架的植入。数值模拟捕捉了呼吸过程中肾动脉的弯曲及其在术后配置中支架置入后的形态变化。未来的研究旨在扩大患者队列,并将固体力学模拟与计算流体动力学(CFD)分析相结合。

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