Paper
1 July 2004 Application of principal components analysis to diagnosis hamster oral carcinogenesis: Raman study
Ana Paula de Oliveira, Airton Abrahao Martin, Landulfo Silveira Jr., Renato Amaro Zangaro, Marcelo Zampieri
Author Affiliations +
Abstract
FT-Raman Spectroscopy (FTRS) has being applied as a new diagnostic tool for the early detection of oral cancer, showing spectral sensitivity to changes in the molecular composition and morphology associated with malignant tissues. A carcinogen (7, 12-dimethybenz[a]anthracene-DMBA) was applied daily in the buccal pouch of 23 hamster and after 14 days fragments of chemically-induced and normal tissue were analyzed by FTRS. A 1064nm, 100mW Nd:YAG laser was used as excitation source. A total of 123 spectra were obtained (three in each site, left and right pouch). They were divided into normal and malignant tissue groups according to the anatomopathologist and were analyzed statistically based on Principal Components Analysis (PCA). The spectra region of 1263-1337 cm-1 showed significant difference between the normal and squamous cell carcinomas samples. The region of 1555-1560 cm-1 also has showed an increase of intensity in the malignant samples. An algorithm based on Principal Components Analysis could separate the samples in two groups, obtaining 86% of sensitivity and 93% of specificity, for the training group, while the prospective group had 85% of sensitivity and 88 % of specificity. Results suggest that the FT-Raman spectroscopy can be useful for detection of malign oral lesion in an animal model.
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Ana Paula de Oliveira, Airton Abrahao Martin, Landulfo Silveira Jr., Renato Amaro Zangaro, and Marcelo Zampieri "Application of principal components analysis to diagnosis hamster oral carcinogenesis: Raman study", Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, (1 July 2004); https://doi.org/10.1117/12.527793
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Cited by 3 scholarly publications.
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KEYWORDS
Tissues

Raman spectroscopy

Principal component analysis

Cancer

Spectroscopy

Diagnostics

Proteins

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