Gomez Alwyn, Sainbhi Amanjyot Singh, Froese Logan, Batson Carleen, Slack Trevor, Stein Kevin Y, Cordingley Dean M, Mathieu Francois, Zeiler Frederick A
Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Front Physiol. 2022 Jul 15;13:934731. doi: 10.3389/fphys.2022.934731. eCollection 2022.
Cerebral blood flow (CBF) is an important physiologic parameter that is vital for proper cerebral function and recovery. Current widely accepted methods of measuring CBF are cumbersome, invasive, or have poor spatial or temporal resolution. Near infrared spectroscopy (NIRS) based measures of cerebrovascular physiology may provide a means of non-invasively, topographically, and continuously measuring CBF. We performed a systematically conducted scoping review of the available literature examining the quantitative relationship between NIRS-based cerebrovascular metrics and CBF. We found that continuous-wave NIRS (CW-NIRS) was the most examined modality with dynamic contrast enhanced NIRS (DCE-NIRS) being the next most common. Fewer studies assessed diffuse correlation spectroscopy (DCS) and frequency resolved NIRS (FR-NIRS). We did not find studies examining the relationship between time-resolved NIRS (TR-NIRS) based metrics and CBF. Studies were most frequently conducted in humans and animal studies mostly utilized large animal models. The identified studies almost exclusively used a Pearson correlation analysis. Much of the literature supported a positive linear relationship between changes in CW-NIRS based metrics, particularly regional cerebral oxygen saturation (rSO), and changes in CBF. Linear relationships were also identified between other NIRS based modalities and CBF, however, further validation is needed.
脑血流量（CBF）是一项重要的生理参数，对大脑的正常功能和恢复至关重要。目前广泛接受的测量CBF的方法繁琐、具有侵入性，或空间或时间分辨率较差。基于近红外光谱（NIRS）的脑血管生理学测量方法可能提供一种非侵入性、地形图式且连续测量CBF的手段。我们对现有文献进行了系统的范围综述，研究基于NIRS的脑血管指标与CBF之间的定量关系。我们发现，连续波NIRS（CW-NIRS）是研究最多的模式，动态对比增强NIRS（DCE-NIRS）是其次最常见的模式。评估扩散相关光谱（DCS）和频率分辨NIRS（FR-NIRS）的研究较少。我们未找到研究基于时间分辨NIRS（TR-NIRS）的指标与CBF之间关系的研究。研究大多在人类中进行，动物研究大多使用大型动物模型。已确定的研究几乎都只使用了Pearson相关分析。大部分文献支持基于CW-NIRS的指标变化，特别是局部脑氧饱和度（rSO）与CBF变化之间存在正线性关系。在其他基于NIRS的模式与CBF之间也确定了线性关系，然而，还需要进一步验证。
