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Micro-Raman spectroscopic study of thyroid tissues

2016; Elsevier BV; Volume: 17; Linguagem: Inglês

10.1016/j.pdpdt.2016.11.018

1873-1597

Lázaro Pinto Medeiros Neto, Luis Felipe das Chagas e Silva de Carvalho, Laurita dos Santos, Claudio A. Téllez Soto, Renata de Azevedo Canevari, André Bandiera de Oliveira Santos, Evandro Sobroza de Mello, Marina Aparecida Pereira, Cláudio Roberto Cernea, Lenine Garcia Brandão, Aírton Abrahão Martin,

Bacillus and Francisella bacterial research

Thyroid carcinomas are the most common endocrine malignancy. Inconclusive results for the analysis of malignancies are an issue in the diagnosis of thyroid carcinomas; 20% of thyroid cancer diagnoses are indeterminate or suspicious, resulting in a surgical procedure without immediate need. The use of Raman spectroscopy may help improve the diagnosis of thyroid carcinoma. In this study, 30 thyroid samples, including normal thyroid, goiter and thyroid cancer, were analyzed by confocal Raman spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA) with cross validation and binary logistic regression (BLR) analysis were applied to discriminate among tissues. Significant discrimination was observed, with a consistent rate of concordant pairs of 89.2% for normal thyroid versus cancer, 85.7% for goiter versus cancer and 80.6% for normal thyroid versus goiter using just the amide III region. Raman spectroscopy was thus proven to be an important and fast tool for the diagnosis of thyroid tissues. The spectral region of 1200-1400cm-1 discriminated normal versus goiter tissues despite the great similarity of these tissues.