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https://doi.org/10.1117/1.3420115
Title: | In vivo early diagnosis of gastric dysplasia using narrow-band image-guided Raman endoscopy | Authors: | Huang, Z. Bergholt, M.S. Zheng, W. Lin, K. Ho, K.Y. Teh, M. Yeoh, K.G. |
Keywords: | Gastric dysplasia Gastroscopy In vivo diagnosis Narrow-band imaging Precancer Raman endoscopy |
Issue Date: | May-2010 | Citation: | Huang, Z., Bergholt, M.S., Zheng, W., Lin, K., Ho, K.Y., Teh, M., Yeoh, K.G. (2010-05). In vivo early diagnosis of gastric dysplasia using narrow-band image-guided Raman endoscopy. Journal of Biomedical Optics 15 (3) : -. ScholarBank@NUS Repository. https://doi.org/10.1117/1.3420115 | Abstract: | We first report on the implementation of a novel narrowband image-guided Raman endoscopy technique for in vivo diagnosis of gastric dysplasia. High-quality in vivo Raman spectra can be acquired from normal and dysplastic gastric mucosal tissue within 0.5 sec under narrow-band image (NBI) guidance at gastroscopy. Significant differences are observed in in vivo Raman spectra between normal (n=54) and dysplastic (n=18) gastric tissue from 30 gastric patients, particularly in the spectral ranges of 825 to 950, 1000 to 1100, 1250 to 1500, and 1600 to 1800 cm-1, which primarily contain signals related to proteins, nucleic acids, and lipids. The multivariate analysis [i.e., principal components analysis (PCA) and linear discriminant analysis (LDA)], together with the leave-one tissue siteout, cross validation on in vivo gastric Raman spectra yields a diagnostic sensitivity of 94.4% (17/18) and specificity of 96.3% (52/54) for distinction of gastric dysplastic tissue. This study suggests that narrowband image-guided Raman endoscopy associated with PCA-LDA diagnostic algorithms has potential for the noninvasive, in vivo early diagnosis and detection of gastric precancer during clinical gastroscopic examination. © 2010 Society of Photo-Optical Instrumentation Engineers. | Source Title: | Journal of Biomedical Optics | URI: | http://scholarbank.nus.edu.sg/handle/10635/67108 | ISSN: | 10833668 | DOI: | 10.1117/1.3420115 |
Appears in Collections: | Staff Publications |
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