期刊
CURRENT OPTICS AND PHOTONICS
卷 6, 期 5, 页码 489-496出版社
OPTICAL SOC KOREA
DOI: 10.3807/COPP.2022.6.5.489
关键词
Cerebral blood volume; Depth of anesthesia; Isoflurane; Monte Carlo simulation; Near-infrared spectroscopy
类别
资金
- SGER grant through the National Research Foundation of Korea [S1601-20-1016]
- Healthcare AI Convergence Research & Development Program through the National IT Industry Promotion Agency of Korea (NIPA) - Ministry of Science and ICT
- GIST Research Institute (GRI) IIBR - GIST
- [NRF-2015R1D1A1A02062382]
- Ministry of Public Safety & Security (MPSS), Republic of Korea [S1601-20-1016] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Our study shows that near-infrared spectroscopy (NIRS) signals have potential as a new depth of anesthesia (DOA) index in clinical practice. By measuring NIRS signals in a minimally invasive model, we have demonstrated that the quality of these signals is comparable to those obtained directly from the brain. These findings are significant for clinical applications.
Our previous study on monitoring cerebral oxygenation with a variation of isoflurane concentration in a rat model showed that near-infrared spectroscopy (NIRS) signals have potential as a new depth of anesthesia (DOA) index. However, that study obtained results from the brain in a completely invasive way, which is inappropriate for clinical application. Therefore, in this follow-up study, it was investigated whether the NIRS signals measured in a minimally invasive model including the skull and cerebrospinal fluid layer (CSFL) are similar to the previous study used as a gold standard. The experimental method was the same as the previous study, and only the subject model was different. We continuously collected NIRS signals before, during, and after isoflurane anesthesia. The isoflurane concentration started at 2.5% (v/v) and decreased to 1.0% by 0.5% every 5 min. The results showed a positive linear correlation between isoflurane concentration and ratio of reflectance intensity (RRI) increase, which is based on NIRS signals. This indicates that the quality of NIRS signals passed through the skull and CSFL in the minimally invasive model is as good as the signal obtained directly from the brain. Therefore, we believe that the results of this study can be easily applied to clinics as a potential indicator to
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