Principal components analysis of FT-Raman spectra of ex vivo basal cell carcinoma

Airton Abrahao Martin; Renata Andrade Bitar Carter; Lilian de Oliveira Nunes; Emilia Angela Loschiavo Arisawa; Landulfo Silveira Jr.

doi:10.1117/12.528239

1 July 2004 Principal components analysis of FT-Raman spectra of ex vivo basal cell carcinoma

Airton Abrahao Martin, Renata Andrade Bitar Carter, Lilian de Oliveira Nunes, Emilia Angela Loschiavo Arisawa, Landulfo Silveira Jr.

Author Affiliations +

Proceedings Volume 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies; (2004) https://doi.org/10.1117/12.528239
Event: Biomedical Optics 2004, 2004, San Jose, CA, United States

Abstract

FT-Raman spectroscopy is a modern analytical tool and it is believed that its use for skin cancer diagnosis will lead to several advantages for patients, e.g., faster results and a minimization of invasivity. This article reports results of an ex Vivo study of the FT-Raman spectra regarding differentiation between non-diseased and malignant human skin lesions, Basal Cell Carcinoma (BCC). A Nd: YAG laser at 1064nm was used as the excitation source in the FT-Raman, RFS 100/S Spectrometer, Bruker. Thirty-nine sets of human skin samples, 18 histopathologically diagnosed as non-diseased, and 21 as BCC, were obtained during routine therapeutic procedures required by the primary disease. No sample preparation was needed to promote the FT-Raman spectra collection. The main spectral features, which may differentiate the sample, were found in the shift region of Amide I (1640 to 1680 cm^-1), Amide III (1220 to 1330cm^-1), proteins and lipids (1400 to 1500 cm^-1), amino acids (939 to 940 cm^-1) and deoxyribonucleic acid (1600 to 1620cm^-1). Principal Components Analysis (PCA) was applied to FT-Raman spectra of Basal Cell Carcinoma. Analysis was performed on mean-normalized and mean-centered data of the non-diseased skin and BCC spectra. The dynamic loading of PCA was expanded into 2D contour by calculating a variance-covariance matrix. PCA was used to verify the statistical differences in the sample. This technique applied over all samples identified tissue type within 83% of sensitivity and 100% specificity. The PCA technique proved efficient for analysis in skin tissue ex vivo, results were significant and coherent.

Citation Download Citation

Airton Abrahao Martin, Renata Andrade Bitar Carter, Lilian de Oliveira Nunes, Emilia Angela Loschiavo Arisawa, and Landulfo Silveira Jr. "Principal components analysis of FT-Raman spectra of ex vivo basal cell carcinoma", Proc. SPIE 5321, Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies, (1 July 2004); https://doi.org/10.1117/12.528239

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