Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms.
Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms.
复制标题
基于模型的脑动脉瘤自膨式支架快速虚拟部署实验验证
DOI：
10.1186/s12938-016-0250-6
复制
发表时间：
2016-12-28
影响因子：
3.9
通讯作者：
Wang S
中科院分区：
文献类型：
--
作者：
Zhang Q;Meng Z;Zhang Y;Yao K;Liu J;Zhang Y;Jing L;Yang X;Paliwal N;Meng H;Wang S
背景使用支架的血管内介入治疗是脑动脉瘤的主流治疗方法。为了评估介入策略对动脉瘤血流动力学的影响，我们开发了一种快速虚拟支架植入（FVS）技术，以模拟支架在患者特定动脉瘤中的展开。然而，FVS对实验数据的定量验证尚未完全解决。在这项研究中，我们进行了体外分析的患者特定的模型，以说明这种新的FVS technology.MethodsWe的现实主义和可用性选择了一个患者特定的动脉瘤，并复制它在一个制造现实的动脉瘤体模。构建了三个带有Enterprise支架的动脉瘤的数值模拟模型。构建了三种模型来获得支架动脉瘤：微型CT扫描的物理体模、快速虚拟支架技术和有限元方法。使用计算流体动力学软件包对三种模型中的流动进行了模拟，并对三种模型的血流动力学参数进行了计算和分析。定性比较显示，三种不同的方法之间的壁面剪应力，流线，和速度平面的高度相似。定量比较显示，血流动力学参数的差异率小于10%，与面积平均的壁面切应力在动脉瘤的差异率是非常low.ConclusionsIn结论，计算血流动力学的结果表明，FVS是合适的评价影响治疗结果的血流动力学因素。
BackgroundEndovascular intervention using a stent is a mainstream treatment for cerebral aneurysms. To assess the effect of intervention strategies on aneurysm hemodynamics, we have developed a fast virtual stenting (FVS) technique to simulate stent deployment in patient-specific aneurysms. However, quantitative validation of the FVS against experimental data has not been fully addressed. In this study, we performed in vitro analysis of a patient-specific model to illustrate the realism and usability of this novel FVS technique.MethodsWe selected a patient-specific aneurysm and reproduced it in a manufactured realistic aneurismal phantom. Three numerical simulation models of the aneurysm with an Enterprise stent were constructed. Three models were constructed to obtain the stented aneurysms: a physical phantom scanned by micro-CT, fast virtual stenting technique and finite element method. The flow in the three models was simulated using a computational fluid dynamics software package, and the hemodynamics parameters for the three models were calculated and analyzed.ResultsThe computational hemodynamics in the patient-specific aneurysm of the three models resembled the very well. A qualitative comparison revealed high similarity in the wall shear stress, streamline, and velocity plane among the three different methods. Quantitative comparisons revealed that the difference ratios of the hemodynamic parameters were less than 10%, with the difference ratios for area average of wall shear stress in the aneurysm being very low.ConclusionsIn conclusion, the results of the computational hemodynamics indicate that FVS is suitable for evaluation of the hemodynamic factors that affect treatment outcomes.