Application Research of Visible Near-Infrared Spectroscopy Technology for Detecting Intracerebral Hematoma

被引:1
|
作者
Chen, Mingle [1 ]
Liu, Yue [1 ]
Dang, Yanwei [1 ]
Wang, Hongquan [1 ]
Wang, Ning [1 ]
Chen, Bo [1 ]
Zhang, Chengda [1 ]
Chen, Huayun [1 ]
Liu, Wangwang [1 ]
Fu, Chuhua [1 ]
Liu, Lijun [1 ]
机构
[1] Hubei Univ Med, Xiangyang 1 Peoples Hosp, Dept Neurosurg, Xiangyang, Hubei, Peoples R China
关键词
Hypertensive intracerebral hemorrhage; Visible near-infrared spectroscopy technology; Minimally invasive; Partial least squares;
D O I
10.1016/j.wneu.2023.09.082
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
OBJECTIVE: To explore the visible near-infrared spectroscopic (VNIRS) characteristics of intracerebral hematoma, and provide experimental basis for hematoma localization and residual detection in hypertensive intracerebral hemorrhage (HICH) surgery.METHODS: Using VNIRS, spectral data of cerebral hematoma and cortex were collected during HICH craniotomy, and characteristic spectra were matched with paired-sample T-test. A partial least squares (PLS) quantitative model for cerebral hematoma spectra was established.RESULTS: The reflectance of cerebral hematoma spectra in the 500-800 nm band was lower than that of the cortex, and there were statistically significant differences in the 510, 565, and 630 nm bands (P < 0.05). The calibration correlation coefficient of the PLS quantitative model for cerebral hematoma spectra was R-2 = 0.988, the cross-validation correlation coefficient was R(2)cv = 0.982, the root mean square error of calibration was RMSEC = 0.101, the root mean square error of cross-validation was RMSEV = 0.122, the external validation correlation coefficient was CORRELATION = 0.902, and the root mean square error of prediction was RMSEP = 0.426, indicating that the model had high fitting degree and good predictive ability.CONCLUSIONS: VNIRS as a noninvasive, real-time and portable analysis technology, can be used for real-time detection of hematoma during HICH surgery, and provide reliable basis for hematoma localization and residual detection.
引用
收藏
页码:E422 / E428
页数:7
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