Research Papers: Sensing

Discriminating model for diagnosis of basal cell carcinoma and melanoma in vitro based on the Raman spectra of selected biochemicals

[+] Author Affiliations
Landulfo Silveira, Fabrício Luiz Silveira, Renato Amaro Zângaro, Marcos Tadeu T. Pacheco

Universidade Camilo Castelo Branco—UNICASTELO, Biomedical Engineering Institute, Parque Tecnológico de São José dos Campos, Rod. Pres. Dutra, km 138, São José dos Campos, São Paulo, 12247-004, Brazil

Benito Bodanese

Universidade Comunitária da Região de Chapecó—UNOCHAPECÓ, Health Sciences Center—CCS, Av. Sen. Attílio Fontana, 591, Chapecó, Santa Catarina, 89809-000, Brazil

J. Biomed. Opt. 17(7), 077003 (Jul 06, 2012). doi:10.1117/1.JBO.17.7.077003
History: Received October 13, 2011; Revised May 21, 2012; Accepted May 25, 2012
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Abstract.  Raman spectroscopy has been employed to identify differences in the biochemical constitution of malignant [basal cell carcinoma (BCC) and melanoma (MEL)] cells compared to normal skin tissues, with the goal of skin cancer diagnosis. We collected Raman spectra from compounds such as proteins, lipids, and nucleic acids, which are expected to be represented in human skin spectra, and developed a linear least-squares fitting model to estimate the contributions of these compounds to the tissue spectra. We used a set of 145 spectra from biopsy fragments of normal (30 spectra), BCC (96 spectra), and MEL (19 spectra) skin tissues, collected using a near-infrared Raman spectrometer (830 nm, 50 to 200 mW, and 20 s exposure time) coupled to a Raman probe. We applied the best-fitting model to the spectra of biochemicals and tissues, hypothesizing that the relative spectral contribution of each compound to the tissue Raman spectrum changes according to the disease. We verified that actin, collagen, elastin, and triolein were the most important biochemicals representing the spectral features of skin tissues. A classification model applied to the relative contribution of collagen III, elastin, and melanin using Euclidean distance as a discriminator could differentiate normal from BCC and MEL.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Landulfo Silveira, Jr. ; Fabrício Luiz Silveira ; Benito Bodanese ; Renato Amaro Zângaro and Marcos Tadeu T. Pacheco
"Discriminating model for diagnosis of basal cell carcinoma and melanoma in vitro based on the Raman spectra of selected biochemicals", J. Biomed. Opt. 17(7), 077003 (Jul 06, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.7.077003


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