Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Author(s):
Silveira, Jr., Landulfo [1] ; Silveira, Fabricio Luiz [1] ; Bodanese, Benito [2] ; Zangaro, Renato Amaro [1] ; Pacheco, Marcos Tadeu T. [1]
Total Authors: 5
Affiliation:
[1] Univ Camilo Castelo Branco UNICASTELO, Inst Biomed Engn, BR-12247004 Sao Paulo - Brazil
[2] Univ Comunitaria Regiao Chapeco UNOCHAPECO, Hlth Sci Ctr CCS, BR-89809000 Chapeco, SC - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Journal of Biomedical Optics; v. 17, n. 7 JUL 2012.
Web of Science Citations: 38
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. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). {[}DOI: 10.1117/1.JBO.17.7.077003] (AU)

FAPESP's process: 09/01788-5 - Dispersive Raman spectroscopy using optical fibers "Raman probe" applied to the diagnosis of neoplasia in the skin and prostate
Grantee:Landulfo Silveira Junior
Support Opportunities: Regular Research Grants