Literature DB >> 19838427

Thyroid tissue analysis through Raman spectroscopy.

Caroline S B Teixeira1, Renata A Bitar, Herculano S Martinho, André B O Santos, Marco A V Kulcsar, Celso U M Friguglietti, Ricardo B da Costa, Emilia A L Arisawa, Airton A Martin.   

Abstract

The diagnosis of thyroid pathologies is usually made by cytologic analysis of the fine needle aspiration (FNA) material. However, this procedure has a low sensitivity at times, presenting a variation of 2-37%. The application of optical spectroscopy in the characterization of alterations could result in the development of a minimally invasive and non-destructive method for the diagnosis of thyroid diseases. Thus, the objective of this work was to study the biochemical alterations of tissues and hormones (T3 and T4) of the thyroid gland by means of molecular vibrations probed by FT-Raman spectroscopy. Through the discriminative linear analysis of the Raman spectra of the tissue, it was possible to establish (in percentages) the correct classification index among the groups: goitre adjacent tissue, goitre nodular region, follicular adenoma, follicular carcinoma and papillary carcinoma. As a result of the comparison between the groups goitre adjacent tissue versus goitre nodular region, an index of 58.3% of correct classification was obtained; this percentage was considered low, and it was not possible to distinguish the Raman spectra of these groups. Between goitre (nodular region and adjacent tissue) versus papillary carcinoma, the index of correct classification was 64.9%, which was considered good. A relevant result was obtained in the analysis of the benign tissues (goitre and follicular adenoma) versus malignant tissues (papillary and follicular carcinomas), for which the index was 72.5% and considered good. It was also possible, by means of visual observation, to find similar vibrational modes in the hormones and pathologic tissues. In conclusion, some biochemical alterations, represented by the FT-Raman spectra, were identified that could possibly be used to classify histologic groups of the thyroid. However, more studies are necessary due to the difficulty in setting a standard for pathologic groups.

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Year:  2009        PMID: 19838427     DOI: 10.1039/b822578h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  10 in total

1.  Optical characterization of normal, benign, and malignant thyroid tissue: a pilot study.

Authors:  M P Brandao; R Iwakura; F S Basilio; K Haleplian; A S Ito; L C Conti de Freitas; L Bachmann
Journal:  J Fluoresc       Date:  2015-03-03       Impact factor: 2.217

2.  Hyperspectral Raman microscopy can accurately differentiate single cells of different human thyroid nodules.

Authors:  Marcos A S de Oliveira; Michael Campbell; Alaa M Afify; Eric C Huang; James W Chan
Journal:  Biomed Opt Express       Date:  2019-08-05       Impact factor: 3.732

3.  In situ cellular level Raman spectroscopy of the thyroid.

Authors:  Alan Wing Lun Law; Rafay Ahmed; Tsz Wing Cheung; Chun Yu Mak; Condon Lau
Journal:  Biomed Opt Express       Date:  2017-01-09       Impact factor: 3.732

4.  RAMAN spectroscopy imaging improves the diagnosis of papillary thyroid carcinoma.

Authors:  Julietta V Rau; Valerio Graziani; Marco Fosca; Chiara Taffon; Massimiliano Rocchia; Pierfilippo Crucitti; Paolo Pozzilli; Andrea Onetti Muda; Marco Caricato; Anna Crescenzi
Journal:  Sci Rep       Date:  2016-10-11       Impact factor: 4.379

5.  Proof-of-concept Raman spectroscopy study aimed to differentiate thyroid follicular patterned lesions.

Authors:  Julietta V Rau; Marco Fosca; Valerio Graziani; Chiara Taffon; Massimiliano Rocchia; Marco Caricato; Paolo Pozzilli; Andrea Onetti Muda; Anna Crescenzi
Journal:  Sci Rep       Date:  2017-11-02       Impact factor: 4.379

6.  The Expressions of Keratins and P63 in Primary Squamous Cell Carcinoma of the Thyroid Gland: An Application of Raman Spectroscopy.

Authors:  Si-Si Wang; Dao-Xiong Ye; Bo Wang; Chao Xie
Journal:  Onco Targets Ther       Date:  2020-01-20       Impact factor: 4.147

Review 7.  The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.

Authors:  Margarida Coelho; Luis Raposo; Brian J Goodfellow; Luigi Atzori; John Jones; Bruno Manadas
Journal:  Int J Mol Sci       Date:  2020-07-24       Impact factor: 5.923

8.  Diffuse Optical Characterization of the Healthy Human Thyroid Tissue and Two Pathological Case Studies.

Authors:  Claus Lindner; Mireia Mora; Parisa Farzam; Mattia Squarcia; Johannes Johansson; Udo M Weigel; Irene Halperin; Felicia A Hanzu; Turgut Durduran
Journal:  PLoS One       Date:  2016-01-27       Impact factor: 3.240

9.  Thyroid cancer diagnosis by Raman spectroscopy.

Authors:  Marco Sbroscia; Michael Di Gioacchino; Paolo Ascenzi; Pierfilippo Crucitti; Alessandra di Masi; Isabella Giovannoni; Filippo Longo; Davide Mariotti; Anda Mihaela Naciu; Andrea Palermo; Chiara Taffon; Martina Verri; Armida Sodo; Anna Crescenzi; Maria Antonietta Ricci
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

10.  Broadband (550-1350 nm) diffuse optical characterization of thyroid chromophores.

Authors:  Sanathana Konugolu Venkata Sekar; Andrea Farina; Alberto Dalla Mora; Claus Lindner; Marco Pagliazzi; Mireia Mora; Gloria Aranda; Hamid Dehghani; Turgut Durduran; Paola Taroni; Antonio Pifferi
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

  10 in total

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