Anbananthan Haveena, Paritala Phani Kumari, Benitez Mendieta Jessica, Yu Han, Guerzet Sardenberg Lima Tiago, Dettrick Zoe, Liang Ee Shern, Coulthard Alan, Li Zhi-Yong, Winter Craig
School of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia.
Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia.
Acta Neurochir (Wien). 2025 Sep 6;167(1):238. doi: 10.1007/s00701-025-06660-y.
Identifying haemodynamic factors associated with thin-walled regions (TWRs) of intracranial aneurysms is critical for improving pre-surgical rupture risk assessment. Intraoperatively, these regions are visually distinguished by a red, translucent appearance and are considered highly rupture prone. However, current imaging modalities lack the resolution to detect such vulnerable areas preoperatively. This study aimed to determine whether thin-walled regions exhibit distinct local haemodynamic profiles compared to adjacent normal-appearing wall regions.
Sixteen patient-specific models of unruptured middle cerebral artery aneurysms were reconstructed from digital subtraction angiography images. Intraoperative TWRs were identified using a colour segmentation method based on Delta E metrics. Computational fluid dynamics (CFD) simulations were used to compute six haemodynamic parameters: wall shear stress (WSS), time-averaged WSS (TaWSS), oscillatory shear index (OSI), relative residence time (RRT), WSS divergence (WSSD), and pressure. Haemodynamic data were extracted from spatially localised surface patches within confirmed thin and normal regions. Linear mixed-effects models were applied to compare parameters while accounting for patient-level and intra-patient variability, using normalised values to improve model fit.
Thin regions exhibited significantly higher WSS, TaWSS, WSSD, and pressure, and reduced RRT. WSS and TaWSS were approximately 3.3% and 2.8% higher in TWRs, respectively. WSSD was 5.4% higher and RRT was 0.3% lower, suggesting faster, more divergent flow in thin regions. Pressure was modestly but significantly elevated at + 1.3%. No significant difference was observed in OSI between regions.
Thin-walled regions in intracranial aneurysms demonstrate a distinctive haemodynamic profile characterised by stronger, sustained shear forces, greater shear divergence, and reduced residence time, suggesting a dynamic mechanical environment that promotes focal wall thinning. Our findings suggest that persistent shear-driven stress, rather than oscillatory flow, is a key haemodynamic feature of thin-walled regions and may contribute to localised aneurysm wall vulnerability.
识别与颅内动脉瘤薄壁区域(TWRs)相关的血流动力学因素对于改善术前破裂风险评估至关重要。在手术中,这些区域在视觉上表现为红色、半透明外观,被认为极易破裂。然而,目前的成像方式缺乏术前检测此类易损区域的分辨率。本研究旨在确定薄壁区域与相邻外观正常的壁区域相比是否表现出独特的局部血流动力学特征。
从数字减影血管造影图像重建了16个未破裂大脑中动脉瘤的患者特异性模型。使用基于Delta E指标的颜色分割方法识别术中TWRs。采用计算流体动力学(CFD)模拟来计算六个血流动力学参数:壁面剪应力(WSS)、时间平均WSS(TaWSS)、振荡剪应力指数(OSI)、相对停留时间(RRT)、WSS散度(WSSD)和压力。从已确认的薄壁和正常区域内的空间定位表面斑块中提取血流动力学数据。应用线性混合效应模型比较参数,同时考虑患者水平和患者内变异性,使用标准化值来改善模型拟合。
薄壁区域表现出显著更高的WSS、TaWSS、WSSD和压力,以及更低的RRT。TWRs中的WSS和TaWSS分别高出约3.3%和2.8%。WSSD高出5.4%,RRT低0.3%,表明薄壁区域的血流更快、更发散。压力适度但显著升高,为+1.3%。区域间OSI未观察到显著差异。
颅内动脉瘤的薄壁区域表现出独特的血流动力学特征,其特点是更强、持续的剪切力、更大的剪切发散和更短的停留时间,表明存在促进局部壁变薄的动态力学环境。我们的研究结果表明,持续的剪切驱动应力而非振荡流是薄壁区域的关键血流动力学特征,可能导致动脉瘤壁局部易损性。