Near-infrared confocal micro-Raman spectroscopy combined with PCA-LDA multivariate analysis for detection of esophageal cancer

• Published in: Laser physics Vol. 23; no. 6; pp. 65601 - 65605
• Main Authors: Chen, Long, Wang, Yue, Liu, Nenrong, Lin, Duo, Weng, Cuncheng, Zhang, Jixue, Zhu, Lihuan, Chen, Weisheng, Chen, Rong, Feng, Shangyuan
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.06.2013
• ISSN: 1054-660X; 1555-6611
• DOI: 10.1088/1054-660X/23/6/065601

The diagnostic capability of using tissue intrinsic micro-Raman signals to obtain biochemical information from human esophageal tissue is presented in this paper. Near-infrared micro-Raman spectroscopy combined with multivariate analysis was applied for discrimination of esophageal cancer tissue from normal tissue samples. Micro-Raman spectroscopy measurements were performed on 54 esophageal cancer tissues and 55 normal tissues in the 400-1750 cm−1 range. The mean Raman spectra showed significant differences between the two groups. Tentative assignments of the Raman bands in the measured tissue spectra suggested some changes in protein structure, a decrease in the relative amount of lactose, and increases in the percentages of tryptophan, collagen and phenylalanine content in esophageal cancer tissue as compared to those of a normal subject. The diagnostic algorithms based on principal component analysis (PCA) and linear discriminate analysis (LDA) achieved a diagnostic sensitivity of 87.0% and specificity of 70.9% for separating cancer from normal esophageal tissue samples. The result demonstrated that near-infrared micro-Raman spectroscopy combined with PCA-LDA analysis could be an effective and sensitive tool for identification of esophageal cancer.