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血流导向装置与颅内动脉瘤载瘤动脉之间的相互作用:一项计算研究。

Interaction between Flow Diverter and Parent Artery of Intracranial Aneurysm: A Computational Study.

作者信息

Fu Wenyu, Xia Qixiao

机构信息

College of Mechanical and Electrical Engineering, Beijing Union University, Beijing 100020, China.

Beijing Engineering Research Center of Smart Mechanical Innovation Design Service, Beijing 100020, China.

出版信息

Appl Bionics Biomech. 2017;2017:3751202. doi: 10.1155/2017/3751202. Epub 2017 Oct 25.

Abstract

To evaluate the influence of deployment strategy on the mechanical interaction between braided stent and parent artery of intracranial aneurysm (the elasticity of the arterial wall is considered), finite-element analyses are carried out by referring to computational models of flow-diverter device and arterial wall. Two implantation strategies are used to virtually implant the braided stent into the ideal intracranial aneurysm model. One is the noncompacted implantation method, and the other is the implantation method of using push-pull technique. During the process of the implantation, the changes of the arterial shape around the aneurysm and the changes of the wall pressure at the contact area between the braided stent and the inner wall of the artery are analyzed. The results indicate that the average contact pressure in the area of low porosity is 57 mmHg using the push-pull technique, and the average contact pressure of the parent artery is 10.45 mmHg using the non-push-pull technique. The diameter of the parent artery at the aneurismal orifice increased about 0.2 mm when using the push-pull technique, so the elasticity of the vessel should be considered in the mechanical analysis of interaction between stent and vessel.

摘要

为了评估植入策略对编织支架与颅内动脉瘤母动脉之间机械相互作用的影响(考虑动脉壁的弹性),通过参考分流装置和动脉壁的计算模型进行有限元分析。采用两种植入策略将编织支架虚拟植入理想的颅内动脉瘤模型中。一种是非压实植入方法,另一种是使用推拉技术的植入方法。在植入过程中,分析动脉瘤周围动脉形状的变化以及编织支架与动脉内壁接触区域的壁压力变化。结果表明,使用推拉技术时,低孔隙率区域的平均接触压力为57 mmHg,使用非推拉技术时母动脉的平均接触压力为10.45 mmHg。使用推拉技术时,动脉瘤口处母动脉的直径增加了约0.2 mm,因此在支架与血管相互作用的力学分析中应考虑血管的弹性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b9/5676342/3b5070702520/ABB2017-3751202.001.jpg

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