Near-infrared Raman spectroscopy for gastric precancer diagnosis
Version of Record online: 4 FEB 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Journal of Raman Spectroscopy
Volume 40, Issue 8, pages 908–914, August 2009
How to Cite
Teh, S. K., Zheng, W., Ho, K. Y., Teh, M., Yeoh, K. G. and Huang, Z. (2009), Near-infrared Raman spectroscopy for gastric precancer diagnosis. J. Raman Spectrosc., 40: 908–914. doi: 10.1002/jrs.2197
- Issue online: 17 AUG 2009
- Version of Record online: 4 FEB 2009
- Manuscript Accepted: 9 DEC 2008
- Manuscript Received: 2 AUG 2008
- Academic Research Fund
- Faculty Research Fund
- near-infrared Raman spectroscopy;
- optical diagnosis;
Raman spectroscopy is a molecular vibrational spectroscopic technique that is capable of optically probing the biomolecular changes associated with neoplastic transformation. The purpose of this study was to apply near-infrared (NIR) Raman spectroscopy for differentiating dysplasia from normal gastric mucosa tissue. A total of 65 gastric mucosa tissues (44 normal and 21 dysplasia) were obtained from 35 patients who underwent endoscopy investigation or gastrectomy operation for this study. A rapid NIR Raman system was utilized for tissue Raman spectroscopic measurements at 785-nm laser excitation. High-quality Raman spectra in the range of 800–1800 cm−1 can be acquired from gastric mucosa tissue within 5 s. Raman spectra showed significant differences between normal and dysplastic tissue, particularly in the spectral ranges of 850–1150, 1200–1500 and 1600–1750 cm−1, which contained signals related to proteins, nucleic acids and lipids. The diagnostic decision algorithm based on the combination of Raman peak intensity ratios of I875/I1450 and I1208/I1655 and the logistic regression analysis yielded a diagnostic sensitivity of 90.5% and specificity of 90.9% for identification of gastric dysplasia tissue. This work demonstrates that NIR Raman spectroscopy in conjunction with intensity ratio algorithms has the potential for the noninvasive diagnosis and detection of precancer in the stomach at the molecular level. Copyright © 2009 John Wiley & Sons, Ltd.