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Updated: May 17, 2026
High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
Published on: January 21, 2015
Gastric cancer differentiation using Fourier transform near-infrared spectroscopy with unsupervised pattern
Wei-song Yi1, Dian-sheng Cui, Zhi Li
1College of Chemistry and Molecular Sciences, Wuhan University, and Gastric & Intestine Department, Hubei Cancer Hospital, Wuhan 430072, PR China.
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.
