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脑近红外光谱传感器技术信号与客观测量的脑血容量之间的关系:一项系统综述。

Relationship Between Signals from Cerebral near Infrared Spectroscopy Sensor Technology and Objectively Measured Cerebral Blood Volume: A Systematic Scoping Review.

作者信息

Silvaggio Noah, Stein Kevin Y, Sainbhi Amanjyot Singh, Vakitbilir Nuray, Bergmann Tobias, Islam Abrar, Hasan Rakibul, Hayat Mansoor, Zeiler Frederick A

机构信息

Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.

Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.

出版信息

Sensors (Basel). 2025 Feb 3;25(3):908. doi: 10.3390/s25030908.

Abstract

Cerebral blood volume (CBV) is an essential metric that indicates and evaluates various healthy and pathologic conditions. Most methods of CBV measurement are cumbersome and have a poor temporal resolution. Recently, it has been proposed that signals and derived metrics from cerebral near-infrared spectroscopy (NIRS), a non-invasive sensor, can be used to estimate CBV. However, this association remains vastly unexplored. As such, this scoping review aimed to examine the literature on the relationship between cerebral NIRS signals and CBV. A search of six databases was conducted conforming to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to assess the following search question: What are the associations between various NIRS cerebral signals and CBV? The database search yielded 3350 unique results. Seven of these articles were included in this review based on the inclusion and exclusion criteria. An additional study was identified and included while examining the articles' reference sections. Overall, the literature for this systematic scoping review shows extreme variation in the association between cerebral NIRS signals and CBV, with few sources objectively documenting a true statistical association between the two. This review highlights the current critical knowledge gap and emphasizes the need for further research in the area.

摘要

脑血容量(CBV)是一项重要指标,可用于指示和评估各种健康及病理状况。大多数CBV测量方法都很繁琐,且时间分辨率较差。最近,有人提出,来自非侵入性传感器——脑近红外光谱(NIRS)的信号及衍生指标可用于估计CBV。然而,这种关联仍有待深入探索。因此,本综述旨在研究关于脑NIRS信号与CBV之间关系的文献。按照系统评价和Meta分析的首选报告项目(PRISMA)指南,对六个数据库进行了检索,以评估以下研究问题:各种NIRS脑信号与CBV之间有何关联?数据库检索产生了3350条独特的结果。根据纳入和排除标准,其中七篇文章被纳入本综述。在查阅文章的参考文献部分时,又确定并纳入了另一项研究。总体而言,本次系统综述的文献显示,脑NIRS信号与CBV之间的关联差异极大,很少有资料能客观地证明两者之间存在真正的统计学关联。本综述突出了当前的关键知识空白,并强调了该领域进一步研究的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efee/11819900/f2241790d5ad/sensors-25-00908-g001.jpg

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