학술논문
Micro-Raman spectroscopic study of thyroid tissues.
Document Type
Academic Journal
Author
Medeiros Neto LP; Laboratory of Biomedical Vibrational Spectroscopy, Institute for Research and Development (IP&D), Universidade do Vale do Paraíba (UniVap), Av. Shishima Hifumi, 2911, Urbanova, São José dos Campos, 12244-000, São Paulo (SP), Brazil.; das Chagas E Silva de Carvalho LF; Laboratory of Biomedical Vibrational Spectroscopy, Institute for Research and Development (IP&D), Universidade do Vale do Paraíba (UniVap), Av. Shishima Hifumi, 2911, Urbanova, São José dos Campos, 12244-000, São Paulo (SP), Brazil.; Santos LD; Laboratory of Biomedical Vibrational Spectroscopy, Institute for Research and Development (IP&D), Universidade do Vale do Paraíba (UniVap), Av. Shishima Hifumi, 2911, Urbanova, São José dos Campos, 12244-000, São Paulo (SP), Brazil.; Tellez Soto CA; Laboratory of Biomedical Vibrational Spectroscopy, Institute for Research and Development (IP&D), Universidade do Vale do Paraíba (UniVap), Av. Shishima Hifumi, 2911, Urbanova, São José dos Campos, 12244-000, São Paulo (SP), Brazil.; de Azevedo Canevari R; Laboratory of Biomedical Vibrational Spectroscopy, Institute for Research and Development (IP&D), Universidade do Vale do Paraíba (UniVap), Av. Shishima Hifumi, 2911, Urbanova, São José dos Campos, 12244-000, São Paulo (SP), Brazil.; de Oliveira Santos AB; Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, Divisão de Anatomia Patológica, Cerqueira Cesar, 05403000, São Paulo (SP), Brazil.; Mello ES; Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, Divisão de Anatomia Patológica, Cerqueira Cesar, 05403000, São Paulo (SP), Brazil.; Pereira MA; Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, Divisão de Anatomia Patológica, Cerqueira Cesar, 05403000, São Paulo (SP), Brazil.; Cernea CR; Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, Divisão de Anatomia Patológica, Cerqueira Cesar, 05403000, São Paulo (SP), Brazil.; Brandão LG; Universidade de São Paulo, Faculdade de Medicina da Universidade de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 255, Divisão de Anatomia Patológica, Cerqueira Cesar, 05403000, São Paulo (SP), Brazil.; Martin AA; Universidade Federal do Piauí - UFPI - Campus Ministro Petrônio PortellaDepartamento de Física - CCNBairro Ininga Teresina, PI, CEP: 64049-550, Brazil. Electronic address: amartin@univap.br.
Source
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101226123 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1597 (Electronic) Linking ISSN: 15721000 NLM ISO Abbreviation: Photodiagnosis Photodyn Ther Subsets: MEDLINE
Subject
Language
English
Abstract
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.
(Copyright © 2016 Elsevier B.V. All rights reserved.)
(Copyright © 2016 Elsevier B.V. All rights reserved.)