title: Discrimination of premalignant lesions and cancer tissues from normal gastric tissues using Raman spectroscopy.
abstract: The feasibility of early detection of gastric cancer using near-infrared (NIR) Raman spectroscopy (RS) by distinguishing premalignant lesions (adenomatous polyp, n=27) and cancer tissues (adenocarcinoma, n=33) from normal gastric tissues (n=45) is evaluated. Significant differences in Raman spectra are observed among the normal, adenomatous polyp, and adenocarcinoma gastric tissues at 936, 1003, 1032, 1174, 1208, 1323, 1335, 1450, and 1655 cm(-1). Diverse statistical methods are employed to develop effective diagnostic algorithms for classifying the Raman spectra of different types of ex vivo gastric tissues, including principal component analysis (PCA), linear discriminant analysis (LDA), and naive Bayesian classifier (NBC) techniques. Compared with PCA-LDA algorithms, PCA-NBC techniques together with leave-one-out, cross-validation method provide better discriminative results of normal, adenomatous polyp, and adenocarcinoma gastric tissues, resulting in superior sensitivities of 96.3%, 96.9%, and 96.9%, and specificities of 93%, 100%, and 95.2%, respectively. Therefore, NIR RS associated with multivariate statistical algorithms has the potential for early diagnosis of gastric premalignant lesions and cancer tissues in molecular level.
authors.affiliation: South China Normal University, Key Laboratory of Laser Life Science of Ministry of Education, Photon and Nano Research Centre for Biosciences, Guangzhou, Guangdong 510631, China.
authors.forename: Shuwen
authors.initials: S
authors.lastname: Luo
authors.forename: Changshui
authors.initials: C
authors.lastname: Chen
authors.forename: Hua
authors.initials: H
authors.lastname: Mao
authors.forename: Shaoqin
authors.initials: S
authors.lastname: Jin
mesh_terms: D018256:Adenomatous Polyps / Q000175:diagnosis* / Q000473:pathology; D000368:Aged; D000465:Algorithms; D001499:Bayes Theorem; D003936:Diagnosis, Computer-Assisted; D016002:Discriminant Analysis; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011230:Precancerous Conditions / Q000175:diagnosis*; D025341:Principal Component Analysis; D013059:Spectrum Analysis, Raman; D013270:Stomach / Q000473:pathology*; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000473:pathology