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Journal of Biomedical Optics

Discrimination of premalignant lesions and cancer tissues from normal gastric tissues using Raman spectroscopy
Author(s): Shuwen Luo; Changshui Chen; Hua Mao; Shaoqin Jin
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Paper 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.

Paper Details

Date Published: 4 June 2013
PDF: 9 pages
J. Biomed. Opt. 18(6) 067004 doi: 10.1117/1.JBO.18.6.067004
Published in: Journal of Biomedical Optics Volume 18, Issue 6
Show Author Affiliations
Shuwen Luo, South China Normal Univ. (China)
Changshui Chen, South China Normal Univ. (China)
Hua Mao, Southern Medical Univ. (China)
Shaoqin Jin, Southern Medical Univ. (China)


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