动脉瘤夹闭手术对大脑中动脉血流动力学的影响

Haleigh Davidson, Brooke Scardino, Peshala Thibbotuwawa Gamage, Amirtahà Taebi
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摘要

脑动脉瘤是一种潜在的危及生命的脑血管疾病,它是指大脑中脆弱的血管随着时间的推移而膨胀或突出。治疗动脉瘤最常见的方法是手术夹闭,这种方法是通过在动脉上永久放置夹闭物来阻断流向动脉瘤的血液。然而,并非所有的动脉瘤都是相同的;因此,需要针对患者的治疗方案,根据每个动脉瘤的个体特征进行治疗。计算流体动力学(CFD)建模可以提供预测不同治疗程序如何影响脑血流动力学的见解。因此,本初步研究的目的是研究神经外科手术夹持前后脑动脉的血流特性和血流动力学参数。为此,从在线数据集中选择了两个患者特定的大脑动脉几何形状,在大脑中动脉分叉处至少有一个动脉瘤。通过从原始几何形状中移除动脉瘤,为每个几何形状创建了一个伴随的剪切后模型。然后生成四面体网格单元,并进行CFD模拟,比较有和无动脉瘤计算模型的血流速度分布、二次流、流线和壁面剪切应力。结果表明,夹持处理导致大脑中动脉流速分布、二次流结构和壁剪应力发生改变。总之,我们的研究结果表明,CFD建模可以帮助预测治疗前的血流动力学参数,从而为每位患者的治疗提供更有针对性的计划。
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Variations of Middle Cerebral Artery Hemodynamics Due to Aneurysm Clipping Surgery
Cerebral aneurysms are potentially life-threatening cerebrovascular conditions where a weakened blood vessel in the brain bulges or protrudes over time. The most common way to treat aneurysms is surgical clipping, an approach where blood flow to the aneurysm is blocked by a permanently placed clip on the artery. However, not all aneurysms are identical; thus, there has been a need for patient-specific treatment options, where each aneurysm is treated based on its individual characteristics. Computational fluid dynamics (CFD) modeling can offer insights to predict how different treatment procedures will affect cerebral hemodynamics. In that regard, the goal of this pilot study was to investigate the flow characteristics and hemodynamic parameters in cerebral arteries before and after neurosurgical clipping. For this purpose, two patient-specific cerebral artery geometries with at least one aneurysm at the middle cerebral artery bifurcation were selected from an online dataset. A companion post-clipping model was created for each geometry by removing the aneurysm from the original geometry. Tetrahedral mesh elements were then generated and CFD simulations were conducted to compare the blood velocity profile, secondary flow, flow streamline, and wall shear stress in the computational models with and without aneurysm. Results showed that the clipping treatment led to changes in the velocity profiles, secondary flow structures, and wall shear stress in the middle cerebral artery. In conclusion, our results suggest that CFD modeling can assist in predicting hemodynamic parameters prior to treatment, thus facilitating more tailored planning for each patient's treatment.
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