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Proceedings Paper

Evaluation of thyroid tissue by Raman spectroscopy
Author(s): C. S. B. Teixeira; R. A. Bitar; A. B. O. Santos; M. A. V. Kulcsar; C. U. M. Friguglietti; H. S. Martinho; R. B. da Costa; A. A. Martin
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Paper Abstract

Thyroid gland is a small gland in the neck consisting of two lobes connected by an isthmus. Thyroid's main function is to produce the hormones thyroxine (T4), triiodothyronine (T3) and calcitonin. Thyroid disorders can disturb the production of these hormones, which will affect numerous processes within the body such as: regulating metabolism and increasing utilization of cholesterol, fats, proteins, and carbohydrates. The gland itself can also be injured; for example, neoplasias, which have been considered the most important, causing damage of to the gland and are difficult to diagnose. There are several types of thyroid cancer: Papillary, Follicular, Medullary, and Anaplastic. The occurrence rate, in general is between 4 and 7%; which is on the increase (30%), probably due to new technology that is able to find small thyroid cancers that may not have been found previously. The most common method used for thyroid diagnoses are: anamnesis, ultrasonography, and laboratory exams (Fine Needle Aspiration Biopsy- FNAB). However, the sensitivity of those test are rather poor, with a high rate of false-negative results, therefore there is an urgent need to develop new diagnostic techniques. Raman spectroscopy has been presented as a valuable tool for cancer diagnosis in many different tissues. In this work, 27 fragments of the thyroid were collected from 18 patients, comprising the following histologic groups: goitre adjacent tissue, goitre nodular tissue, follicular adenoma, follicular carcinoma, and papillary carcinoma. Spectral collection was done with a commercial FTRaman Spectrometer (Bruker RFS100/S) using a 1064 nm laser excitation and Ge detector. Principal Component Analysis, Cluster Analysis, and Linear Discriminant Analysis with cross-validation were applied as spectral classification algorithm. Comparing the goitre adjacent tissue with the goitre nodular region, an index of 58.3% of correct classification was obtained. Between goitre (nodular region and adjacent tissue) and papillary carcinoma, the index of correct classification was 64.9%, and the classification between benign tissues (goitre and follicular adenoma) and malignant tissues (papillary and follicular carcinomas), the index was 72.5%.

Paper Details

Date Published: 23 February 2010
PDF: 11 pages
Proc. SPIE 7560, Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry, 75600G (23 February 2010); doi: 10.1117/12.840571
Show Author Affiliations
C. S. B. Teixeira, Univ. do Vale do Paraíba (Brazil)
R. A. Bitar, Univ. Federal do ABC (Brazil)
A. B. O. Santos, Univ. do Vale do Paraíba (Brazil)
M. A. V. Kulcsar, Univ. do Vale do Paraíba (Brazil)
C. U. M. Friguglietti, Univ. do Vale do Paraíba (Brazil)
H. S. Martinho, Univ. Federal do ABC (Brazil)
R. B. da Costa, Univ. do Vale do Paraíba (Brazil)
A. A. Martin, Univ. do Vale do Paraíba (Brazil)

Published in SPIE Proceedings Vol. 7560:
Biomedical Vibrational Spectroscopy IV: Advances in Research and Industry
Anita Mahadevan-Jansen; Wolfgang Petrich, Editor(s)

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