Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
INSERM U1059 Sainboise, Mines Saint-Étienne, Saint-Étienne, France.
Ann Biomed Eng. 2024 Sep;52(9):2417-2439. doi: 10.1007/s10439-024-03533-w. Epub 2024 May 17.
The Circle of Willis (CoW) is a ring-like network of blood vessels that perfuses the brain. Flow in the collateral pathways that connect major arterial inputs in the CoW change dynamically in response to vessel narrowing or occlusion. Vasospasm is an involuntary constriction of blood vessels following subarachnoid hemorrhage (SAH), which can lead to stroke. This study investigated interactions between localization of vasospasm in the CoW, vasospasm severity, anatomical variations, and changes in collateral flow directions. Patient-specific computational fluid dynamics (CFD) simulations were created for 25 vasospasm patients. Computed tomographic angiography scans were segmented capturing the anatomical variation and stenosis due to vasospasm. Transcranial Doppler ultrasound measurements of velocity were used to define boundary conditions. Digital subtraction angiography was analyzed to determine the directions and magnitudes of collateral flows as well as vasospasm severity in each vessel. Percent changes in resistance and viscous dissipation were analyzed to quantify vasospasm severity and localization of vasospasm in a specific region of the CoW. Angiographic severity correlated well with percent changes in resistance and viscous dissipation across all cerebral vessels. Changes in flow direction were observed in collateral pathways of some patients with localized vasospasm, while no significant changes in flow direction were observed in others. CFD simulations can be leveraged to quantify the localization and severity of vasospasm in SAH patients. These factors as well as anatomical variation may lead to changes in collateral flow directions. Future work could relate localization and vasospasm severity to clinical outcomes like the development of infarct.
Willis 环(CoW)是一个环形的血管网络,为大脑提供血液灌注。连接 CoW 中主要动脉输入的侧支通路中的血流会动态变化,以响应血管狭窄或闭塞。血管痉挛是蛛网膜下腔出血(SAH)后血管的非自愿收缩,可导致中风。本研究调查了 CoW 中血管痉挛的定位、血管痉挛的严重程度、解剖变异以及侧支血流方向变化之间的相互作用。为 25 例血管痉挛患者创建了特定于患者的计算流体动力学(CFD)模拟。对捕获由于血管痉挛引起的解剖变异和狭窄的计算机断层血管造影扫描进行了分割。经颅多普勒超声测量速度用于定义边界条件。对数字减影血管造影进行了分析,以确定每个血管的侧支血流方向和大小以及血管痉挛的严重程度。分析了阻力和粘性耗散的百分比变化,以量化 CoW 特定区域的血管痉挛严重程度和定位。所有脑血管的血管痉挛严重程度与阻力和粘性耗散的百分比变化均呈良好相关性。在一些存在局灶性血管痉挛的患者的侧支通路中观察到了血流方向的变化,而在其他患者中则没有观察到明显的血流方向变化。CFD 模拟可用于量化 SAH 患者的血管痉挛定位和严重程度。这些因素以及解剖变异可能导致侧支血流方向的变化。未来的工作可以将血管痉挛的定位和严重程度与梗塞等临床结果联系起来。