Distinguishing brain tumors by Label-free confocal micro-Raman spectroscopy

作者全名："Liu, Jie; Wang, Pan; Zhang, Hua; Wu, Nan"

作者地址："[Liu, Jie; Wu, Nan] Chongqing Med Univ, Chongqing 400016, Peoples R China; [Liu, Jie; Wang, Pan; Wu, Nan] Chongqing Univ, Chongqing Gen Hosp, Dept Neurosurg, Chongqing 401147, Peoples R China; [Liu, Jie; Zhang, Hua; Wu, Nan] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China; [Liu, Jie; Wu, Nan] Univ Acad Sci, Chongqing Sch, Chongqing 400714, Peoples R China; [Wu, Nan] 1 Yixueyuan Rd, Chongqing 400016, Peoples R China"

通信作者："Wu, N (通讯作者)，1 Yixueyuan Rd, Chongqing 400016, Peoples R China."

来源：PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001200279400001

JCR分区：Q2

影响因子：3.1

年份：2024

卷号：45

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Brain tumors; Raman spectra; Principal component analysis; Quadratic discriminant analysis; Discriminant model

摘要："Background: Brain tumors have serious adverse effects on public health and social economy. Accurate detection of brain tumor types is critical for effective and proactive treatment, and thus improve the survival of patients. Methods: Four types of brain tumor tissue sections were detected by Raman spectroscopy. Principal component analysis (PCA) has been used to reduce the dimensionality of the Raman spectra data. Linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) methods were utilized to discriminate different types of brain tumors. Results: Raman spectra were collected from 40 brain tumors. Variations in intensity and shift were observed in the Raman spectra positioned at 721, 854, 1004, 1032, 1128, 1248, 1449 cm-1 for different brain tumor tissues. The PCA results indicated that glioma, pituitary adenoma, and meningioma are difficult to differentiate from each other, whereas acoustic neuroma is clearly distinguished from the other three tumors. Multivariate analysis including QDA and LDA methods showed the classification accuracy rate of the QDA model was 99.47 %, better than the rate of LDA model was 95.07 %. Conclusions: Raman spectroscopy could be used to extract valuable fingerprint-type molecular and chemical information of biological samples. The demonstrated technique has the potential to be developed to a rapid, label-free, and intelligent approach to distinguish brain tumor types with high accuracy."

基金机构：Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) [2020.6.4]; Project of Chongqing General Hospital; [CSTC2021jscx-gksb-N0024]

基金资助正文："This research was funded by Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau)(CSTC2021jscx-gksb-N0024), and Project of Chongqing General Hospital (2020.6.4)."