Ryu Jaiyoung, Ko Nerissa, Hu Xiao, Shadden Shawn C
School of Mechanical Engineering, Chung-Ang University, Seoul, Korea.
Cerebrovasc Dis. 2017;43(5-6):214-222. doi: 10.1159/000454992. Epub 2017 Feb 28.
Early diagnosis of vasospasm following subarachnoid hemorrhage can prevent cerebral ischemia and improve neurological outcomes. This study numerically evaluates the relevance of extracranial blood velocity indices to detect vasospasm.
A numerical model of cerebral blood flow was used to evaluate the hemodynamics associated with anterior and posterior vasospasm under normal and impaired cerebral autoregulation conditions. Extracranial blood velocities at the carotid and vertebral arteries and their ratios between ipsilateral and contralateral, anterior and posterior, and downstream and upstream arteries were monitored during vasospasm progression.
For current clinical indices that track blood velocities at vasospastic arterial segments using transcranial Doppler (TCD), we observed that velocities increased initially and then decreased with vasospasm progression. This nonmonotonic behavior can lead to false-negative decisions in moderate to severe vasospasm. Alternatively, volumetric flow decreased monotonically at the affected arteries, leading to blood velocities upstream of the vasospastic artery also decreasing monotonically. Based on this principle, we demonstrate that velocity ratios between the carotid and vertebral arteries may better identify moderate to severe vasospasm and improve sensitivity and specificity of vasospasm detection.
The velocity indices proposed in this study may enable new or improved noninvasive diagnosis of vasospasm using extracranial Doppler ultrasound. Compared to current clinical indices, the new indices may improve the handling of (1) scenarios of severe vasospasm or impaired cerebral autoregulation, (2) systemic changes in blood pressure and cardiac output, (3) vasospasm occurring in arteries distal to the cerebral circle region, and (4) cases with insufficient acoustic bone window for TCD. The results provide a concrete basis for future clinical evaluation of extracranial indices for vasospasm detection.
蛛网膜下腔出血后血管痉挛的早期诊断可预防脑缺血并改善神经功能预后。本研究对颅外血流速度指标在检测血管痉挛方面的相关性进行了数值评估。
使用脑血流数值模型评估正常和脑自动调节受损情况下与前、后血管痉挛相关的血流动力学。在血管痉挛进展过程中监测颈动脉和椎动脉的颅外血流速度及其同侧与对侧、前与后、下游与上游动脉之间的比值。
对于目前使用经颅多普勒(TCD)追踪血管痉挛动脉段血流速度的临床指标,我们观察到随着血管痉挛进展,速度最初增加然后降低。这种非单调行为可能导致在中度至重度血管痉挛中出现假阴性判断。相比之下,受累动脉的容积流量单调下降,导致血管痉挛动脉上游的血流速度也单调下降。基于这一原理,我们证明颈动脉和椎动脉之间的速度比值可能更有助于识别中度至重度血管痉挛,并提高血管痉挛检测的敏感性和特异性。
本研究提出的速度指标可能使利用颅外多普勒超声对血管痉挛进行新的或改进的无创诊断成为可能。与目前的临床指标相比,新指标可能改善对以下情况的处理:(1)严重血管痉挛或脑自动调节受损的情况;(2)血压和心输出量的全身变化;(3)大脑循环区域远端动脉发生的血管痉挛;(4)TCD声学骨窗不足的病例。研究结果为未来临床评估用于血管痉挛检测的颅外指标提供了具体依据。