ArteryFlow Technology Co., Ltd, 459 Qianmo Road, Suite C1-501, Binjiang District, Hangzhou, 310000, Zhejiang Province, China.
Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
J Transl Med. 2018 Jul 21;16(1):208. doi: 10.1186/s12967-018-1573-9.
In this study, we develop reliable and practical virtual coiling and stenting methods for intracranial aneurysm surgical planning. Since the purpose of deploying coils and stents is to provide device geometries for subsequent accurate post-treatment computational fluid dynamics analysis, we do not need to accurately capture all the details such as the stress and force distribution for the devices and vessel walls. Our philosophy for developing these methods is to balance accuracy and practicality.
We consider the mechanical properties of the devices and recapitulate the clinical practice using a finite element method (FEM) approach. At the same time, we apply some simplifications for FEM modeling to make our methods efficient. For the virtual coiling, the coils are modeled as 3D Euler-Bernoulli beam elements, which is computationally efficient and provides good geometry representation. During the stent deployment process, the stent-catheter system is transformed according to the centerline of the parent vessel since the final configuration of the stent is not dependent of the deployment history. The aneurysm and vessel walls are assumed to be rigid and are fully constrained during the simulation. All stent-catheter system and coil-catheter system are prepared and packaged as a library which contains all types of stents, coils and catheters, which improves the efficiency of surgical planning process.
The stent was delivered to the suitable position during the clinical treatment, achieving good expansion and apposition of the stent to the arterial wall. The coil was deployed into the aneurysm sac and deformed to different shapes because of the stored strain energy during coil package process and the direction of the microcatheter.
The method which we develop here could become surgical planning for intracranial aneurysm treatment in the clinical workflow.
在这项研究中,我们开发了可靠且实用的颅内动脉瘤手术规划虚拟绕圈和支架置入方法。由于部署支架和线圈的目的是为随后的精确治疗后计算流体动力学分析提供器械几何形状,因此我们不需要准确捕获器械和血管壁的所有细节,例如应力和力分布。我们开发这些方法的理念是平衡准确性和实用性。
我们考虑器械的力学性能,并使用有限元方法 (FEM) 来再现临床实践。同时,我们对 FEM 建模进行了一些简化,以提高我们方法的效率。对于虚拟绕圈,将线圈建模为 3D 欧拉-伯努利梁元素,这在计算上效率高,并提供良好的几何形状表示。在支架部署过程中,根据母血管的中心线来转换支架-导管系统,因为支架的最终配置不依赖于部署历史。假设动脉瘤和血管壁是刚性的,并在模拟过程中完全约束。所有支架-导管系统和线圈-导管系统都被制备并包装为一个库,其中包含所有类型的支架、线圈和导管,这提高了手术规划过程的效率。
在临床治疗过程中,支架被输送到合适的位置,实现了支架对动脉壁的良好扩张和贴合。线圈被部署到动脉瘤囊中,并由于线圈包装过程中的存储应变能和微导管的方向而变形为不同的形状。
我们在这里开发的方法可以成为颅内动脉瘤治疗的临床工作流程中的手术规划。