Cargando…

Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis

SIGNIFICANCE: Follicular thyroid carcinoma carries a substantially poor prognosis due to its unique biological behavior and less favorable outcomes. In particular, fine-needle aspiration (FNA) biopsies, which play a key role in screening thyroid nodules, cannot differentiate benign from malignant fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Soares de Oliveira, Marcos A., Campbell, Michael, Afify, Alaa M., Huang, Eric C., Chan, James W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448911/
https://www.ncbi.nlm.nih.gov/pubmed/36071559
http://dx.doi.org/10.1117/1.JBO.27.9.095001
_version_ 1784784169994289152
author Soares de Oliveira, Marcos A.
Campbell, Michael
Afify, Alaa M.
Huang, Eric C.
Chan, James W.
author_facet Soares de Oliveira, Marcos A.
Campbell, Michael
Afify, Alaa M.
Huang, Eric C.
Chan, James W.
author_sort Soares de Oliveira, Marcos A.
collection PubMed
description SIGNIFICANCE: Follicular thyroid carcinoma carries a substantially poor prognosis due to its unique biological behavior and less favorable outcomes. In particular, fine-needle aspiration (FNA) biopsies, which play a key role in screening thyroid nodules, cannot differentiate benign from malignant follicular neoplasm. AIM: We report on the use of hyperspectral Raman microscopy in combination with chemometric analysis for identifying and classifying single cells obtained from clinical samples of human follicular thyroid neoplasms. APPROACH: We used a method intended to simulate the FNA procedure to obtain single cells from thyroid nodules. A total of 392 hyperspectral Raman images of single cells from follicular thyroid neoplasms were collected. RESULTS: Malignant cells were identified based on their intrinsic Raman spectral signatures with an overall diagnostic accuracy of up to 83.7%. CONCLUSIONS: Our findings indicate that hyperspectral Raman microscopy can potentially be developed into an ancillary test for analyzing single cells from thyroid FNA biopsies to better stratify “indeterminate” nodules and other cytologically challenging cases.
format Online
Article
Text
id pubmed-9448911
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Society of Photo-Optical Instrumentation Engineers
record_format MEDLINE/PubMed
spelling pubmed-94489112022-09-07 Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis Soares de Oliveira, Marcos A. Campbell, Michael Afify, Alaa M. Huang, Eric C. Chan, James W. J Biomed Opt General SIGNIFICANCE: Follicular thyroid carcinoma carries a substantially poor prognosis due to its unique biological behavior and less favorable outcomes. In particular, fine-needle aspiration (FNA) biopsies, which play a key role in screening thyroid nodules, cannot differentiate benign from malignant follicular neoplasm. AIM: We report on the use of hyperspectral Raman microscopy in combination with chemometric analysis for identifying and classifying single cells obtained from clinical samples of human follicular thyroid neoplasms. APPROACH: We used a method intended to simulate the FNA procedure to obtain single cells from thyroid nodules. A total of 392 hyperspectral Raman images of single cells from follicular thyroid neoplasms were collected. RESULTS: Malignant cells were identified based on their intrinsic Raman spectral signatures with an overall diagnostic accuracy of up to 83.7%. CONCLUSIONS: Our findings indicate that hyperspectral Raman microscopy can potentially be developed into an ancillary test for analyzing single cells from thyroid FNA biopsies to better stratify “indeterminate” nodules and other cytologically challenging cases. Society of Photo-Optical Instrumentation Engineers 2022-09-07 2022-09 /pmc/articles/PMC9448911/ /pubmed/36071559 http://dx.doi.org/10.1117/1.JBO.27.9.095001 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle General
Soares de Oliveira, Marcos A.
Campbell, Michael
Afify, Alaa M.
Huang, Eric C.
Chan, James W.
Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title_full Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title_fullStr Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title_full_unstemmed Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title_short Simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral Raman microscopy and chemometric analysis
title_sort simulated fine-needle aspiration diagnosis of follicular thyroid nodules by hyperspectral raman microscopy and chemometric analysis
topic General
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448911/
https://www.ncbi.nlm.nih.gov/pubmed/36071559
http://dx.doi.org/10.1117/1.JBO.27.9.095001
work_keys_str_mv AT soaresdeoliveiramarcosa simulatedfineneedleaspirationdiagnosisoffollicularthyroidnodulesbyhyperspectralramanmicroscopyandchemometricanalysis
AT campbellmichael simulatedfineneedleaspirationdiagnosisoffollicularthyroidnodulesbyhyperspectralramanmicroscopyandchemometricanalysis
AT afifyalaam simulatedfineneedleaspirationdiagnosisoffollicularthyroidnodulesbyhyperspectralramanmicroscopyandchemometricanalysis
AT huangericc simulatedfineneedleaspirationdiagnosisoffollicularthyroidnodulesbyhyperspectralramanmicroscopyandchemometricanalysis
AT chanjamesw simulatedfineneedleaspirationdiagnosisoffollicularthyroidnodulesbyhyperspectralramanmicroscopyandchemometricanalysis