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计算流体动力学;巨型脑内动脉瘤治疗中的新诊断工具

Karol Wiśniewski¹, Piotr Reorowicz², Zbigniew Tyfa²

¹Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia; Department of Neurosurgery and Neurooncology, Medical University of Łódź, Kopcińskiego 22, 90-153, Łódź, Poland; Lodz University of Technology, Institute of Turbomachinery, 219/223 Wolczanska Str., 90-924, Lodz, Poland.

Computers in biology and medicine

|September 1, 2024

概括

计算流体动力学 (CFD) 模拟准确地预测了巨型脑内动脉瘤 (GIA) 的治疗结果. 对绕道再血管化的CFD分析与母动脉封闭相结合,确定了容易发生血栓的区域,有助于对GIA进行手术规划.

科学领域:

神经外科神经外科
医疗成像医学成像
计算流体动力学的流体动力学.

背景情况:

巨型脑内动脉瘤 (GIA) 在所有脑内动脉瘤中占比高达5%.
间接的手术策略,包括绕道和母动脉封闭,用于通过逆转血流来实现GIA封闭.
对于成功的结果,GIA治疗的手术前规划至关重要.

研究的目的:

评估计算流体动力学 (CFD) 在巨型脑内动脉瘤 (GIA) 手术前规划中的实用性.
确定CFD模拟是否可以预测GIA治疗间接手术策略的结果.

主要方法:

在三个患者特定的CT血管图模型上进行了流体结构相互作用 (FSI) CFD调查.
模型包括一个参考GIA,和两个绕道配置与近端父动脉封闭 (PAO).
分析的重点是"旧血液"的体积,流动停留时间 (FRT),动态粘度和血液动力学变化.

主要成果:

在CFD模拟显示"旧血液"积累在绕道模型 (41%在20个周期后),而在参考模型中完全洗掉.
在绕道模型中观察到动脉瘤区域内的平均血液粘度增加了7倍.
CFD准确地确定了容易形成血栓的区域,与预测的治疗结果相关联.

结论:

绕道再血管化与近邻PAO相结合,促进了GIA中的血栓形成.
通过CFD模拟,通过确定易发生血栓的区域,有效地预测GIA的治疗结果.
使用CFD进行的虚拟外科手术为GIA治疗中的操作决策提供了宝贵的见解.

关键词:

脑部绕道术是通过脑部绕道术进行的.计算流体动力学计算流体动力学动态粘度动态粘度动态粘度巨大的动脉瘤巨大的动脉瘤.血栓形成的原因之一是血栓形成.没有洗.

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