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  • Title: Gastric cancer differentiation using Fourier transform near-infrared spectroscopy with unsupervised pattern recognition.
    Author: Yi WS, Cui DS, Li Z, Wu LL, Shen AG, Hu JM.
    Journal: Spectrochim Acta A Mol Biomol Spectrosc; 2013 Jan 15; 101():127-31. PubMed ID: 23099170.
    Abstract:
    The manuscript has investigated the application of near-infrared (NIR) spectroscopy for differentiation gastric cancer. The 90 spectra from cancerous and normal tissues were collected from a total of 30 surgical specimens using Fourier transform near-infrared spectroscopy (FT-NIR) equipped with a fiber-optic probe. Major spectral differences were observed in the CH-stretching second overtone (9000-7000 cm(-1)), CH-stretching first overtone (6000-5200 cm(-1)), and CH-stretching combination (4500-4000 cm(-1)) regions. By use of unsupervised pattern recognition, such as principal component analysis (PCA) and cluster analysis (CA), all spectra were classified into cancerous and normal tissue groups with accuracy up to 81.1%. The sensitivity and specificity was 100% and 68.2%, respectively. These present results indicate that CH-stretching first, combination band and second overtone regions can serve as diagnostic markers for gastric cancer.
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