Recorrência em pacientes portadores de melanoma cutâneo submetidos a biópsia de linfonodo sentinela: seguimento mediano de 37 meses

Filho, Renato Santos de Oliveira; Silva, Allisson Monteiro da; Arcuschin, Liliana; Wagner, Jairo; Yamaga, Lilian Yuri Itaya

doi:10.1590/s0100-69912004000500002

Cited by 1 publication

(1 citation statement)

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“…In skin melanomas, the malignant changes in melanocytes start at the membrane level, which undergo degradation of basal membrane and subsequent invasion of dermis. The morphological characteristic of the dermis remains morphochemically unchanged, 51 which could explain this higher protein level. We found that six MEL spectra were misclassified as BCC.…”

Section: Discussionmentioning

confidence: 97%

Discriminating model for diagnosis of basal cell carcinoma and melanomain vitrobased on the Raman spectra of selected biochemicals

Silveira

Bodanese

et al. 2012

J. Biomed. Opt

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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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Section: Discussionmentioning

confidence: 97%