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Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy

The aim of this study was to investigate the clinical potential of Raman spectroscopy (RS) in detecting oral squamous cell carcinoma (OSCC) in tumor and healthy tissues in surgical resection specimens during surgery. Raman experiments were performed on cryopreserved specimens from patients with OSCC...

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Autores principales: Sharma, Mukta, Jeng, Ming-Jer, Young, Chi-Kuang, Huang, Shiang-Fu, Chang, Liann-Be
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623962/
https://www.ncbi.nlm.nih.gov/pubmed/34834517
http://dx.doi.org/10.3390/jpm11111165
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author Sharma, Mukta
Jeng, Ming-Jer
Young, Chi-Kuang
Huang, Shiang-Fu
Chang, Liann-Be
author_facet Sharma, Mukta
Jeng, Ming-Jer
Young, Chi-Kuang
Huang, Shiang-Fu
Chang, Liann-Be
author_sort Sharma, Mukta
collection PubMed
description The aim of this study was to investigate the clinical potential of Raman spectroscopy (RS) in detecting oral squamous cell carcinoma (OSCC) in tumor and healthy tissues in surgical resection specimens during surgery. Raman experiments were performed on cryopreserved specimens from patients with OSCC. Univariate and multivariate analysis was performed based on the fingerprint region (700–1800 cm [Formula: see text]) of the Raman spectra. One hundred thirty-one ex-vivo Raman experiments were performed on 131 surgical resection specimens obtained from 67 patients. The principal component analysis (PCA) and partial least square (PLS) methods with linear discriminant analysis (LDA) were applied on an independent validation dataset. Both models were able to differentiate between the tissue types, but PLS–LDA showed 100% accuracy, sensitivity, and specificity. In this study, Raman measurements of fresh resection tissue specimens demonstrated that OSCC had significantly higher nucleic acid, protein, and several amino acid contents than adjacent healthy tissues. The specific spectral information obtained in this study can be used to develop an in vivo Raman spectroscopic method for the tumor-free resection boundary during surgery.
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spelling pubmed-86239622021-11-27 Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy Sharma, Mukta Jeng, Ming-Jer Young, Chi-Kuang Huang, Shiang-Fu Chang, Liann-Be J Pers Med Article The aim of this study was to investigate the clinical potential of Raman spectroscopy (RS) in detecting oral squamous cell carcinoma (OSCC) in tumor and healthy tissues in surgical resection specimens during surgery. Raman experiments were performed on cryopreserved specimens from patients with OSCC. Univariate and multivariate analysis was performed based on the fingerprint region (700–1800 cm [Formula: see text]) of the Raman spectra. One hundred thirty-one ex-vivo Raman experiments were performed on 131 surgical resection specimens obtained from 67 patients. The principal component analysis (PCA) and partial least square (PLS) methods with linear discriminant analysis (LDA) were applied on an independent validation dataset. Both models were able to differentiate between the tissue types, but PLS–LDA showed 100% accuracy, sensitivity, and specificity. In this study, Raman measurements of fresh resection tissue specimens demonstrated that OSCC had significantly higher nucleic acid, protein, and several amino acid contents than adjacent healthy tissues. The specific spectral information obtained in this study can be used to develop an in vivo Raman spectroscopic method for the tumor-free resection boundary during surgery. MDPI 2021-11-09 /pmc/articles/PMC8623962/ /pubmed/34834517 http://dx.doi.org/10.3390/jpm11111165 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sharma, Mukta
Jeng, Ming-Jer
Young, Chi-Kuang
Huang, Shiang-Fu
Chang, Liann-Be
Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title_full Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title_fullStr Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title_full_unstemmed Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title_short Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy
title_sort developing an algorithm for discriminating oral cancerous and normal tissues using raman spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623962/
https://www.ncbi.nlm.nih.gov/pubmed/34834517
http://dx.doi.org/10.3390/jpm11111165
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