Cargando…

Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity

BACKGROUND: Strong proof-of-principle for utilisation of diffuse reflectance spectroscopy, a non-invasive tool for early detection of malignant changes, has emerged recently. The potential of this technique in distinguishing normal tissue from hyperplastic and dysplastic tissues was explored. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Jayanthi, J L, Nisha, G U, Manju, S, Philip, E K, Jeemon, P, Baiju, K V, Beena, V T, Subhash, N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191415/
https://www.ncbi.nlm.nih.gov/pubmed/22021749
http://dx.doi.org/10.1136/bmjopen-2011-000071
_version_ 1782213652513816576
author Jayanthi, J L
Nisha, G U
Manju, S
Philip, E K
Jeemon, P
Baiju, K V
Beena, V T
Subhash, N
author_facet Jayanthi, J L
Nisha, G U
Manju, S
Philip, E K
Jeemon, P
Baiju, K V
Beena, V T
Subhash, N
author_sort Jayanthi, J L
collection PubMed
description BACKGROUND: Strong proof-of-principle for utilisation of diffuse reflectance spectroscopy, a non-invasive tool for early detection of malignant changes, has emerged recently. The potential of this technique in distinguishing normal tissue from hyperplastic and dysplastic tissues was explored. METHODS: Diffuse reflectance (DR) spectra in the 400–700 nm region were obtained from the buccal mucosa of 96 patients and 34 healthy volunteers. The DR spectral data were compared against the gold standard biopsy and histopathology results. A principal-component analysis was performed for dimensional reduction in the normalised spectral data with linear discriminant analysis as the classifying technique. The receiver operator characteristic curve technique was employed for evaluating the performance of the diagnostic test. RESULTS: DR spectral features for different lesions, such as normal/healthy, hyperplastic, dysplastic and squamous cell carcinoma (SCC), varied significantly according to the intensity of oxygenated haemoglobin absorption. While the classification based on discriminant scores provided an overall sensitivity of 98.5% and specificity of 96.0% for distinguishing SCC from dysplasia, they were 100.0% and 95.0%, respectively, for distinguishing dysplasia from hyperplasia. Similarly, the analysis yielded a sensitivity of 95.0% and specificity of 100.0% for distinguishing hyperplasia from healthy tissue. The areas under the receiver operator characteristic curves were 0.98 (95% CI 0.95 to 1.00) and 0.95 (95% CI 0.90 to 1.00) for distinguishing dysplasia from SCC and hyperplasia from dysplasia, respectively. CONCLUSION: DR spectral data efficiently discriminate healthy tissue from oral malignant lesions. Diagnostic accuracies obtained in this study highlight the potential use of this method for routine clinical practice.
format Online
Article
Text
id pubmed-3191415
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BMJ Group
record_format MEDLINE/PubMed
spelling pubmed-31914152011-10-13 Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity Jayanthi, J L Nisha, G U Manju, S Philip, E K Jeemon, P Baiju, K V Beena, V T Subhash, N BMJ Open Dentistry and Oral Medicine BACKGROUND: Strong proof-of-principle for utilisation of diffuse reflectance spectroscopy, a non-invasive tool for early detection of malignant changes, has emerged recently. The potential of this technique in distinguishing normal tissue from hyperplastic and dysplastic tissues was explored. METHODS: Diffuse reflectance (DR) spectra in the 400–700 nm region were obtained from the buccal mucosa of 96 patients and 34 healthy volunteers. The DR spectral data were compared against the gold standard biopsy and histopathology results. A principal-component analysis was performed for dimensional reduction in the normalised spectral data with linear discriminant analysis as the classifying technique. The receiver operator characteristic curve technique was employed for evaluating the performance of the diagnostic test. RESULTS: DR spectral features for different lesions, such as normal/healthy, hyperplastic, dysplastic and squamous cell carcinoma (SCC), varied significantly according to the intensity of oxygenated haemoglobin absorption. While the classification based on discriminant scores provided an overall sensitivity of 98.5% and specificity of 96.0% for distinguishing SCC from dysplasia, they were 100.0% and 95.0%, respectively, for distinguishing dysplasia from hyperplasia. Similarly, the analysis yielded a sensitivity of 95.0% and specificity of 100.0% for distinguishing hyperplasia from healthy tissue. The areas under the receiver operator characteristic curves were 0.98 (95% CI 0.95 to 1.00) and 0.95 (95% CI 0.90 to 1.00) for distinguishing dysplasia from SCC and hyperplasia from dysplasia, respectively. CONCLUSION: DR spectral data efficiently discriminate healthy tissue from oral malignant lesions. Diagnostic accuracies obtained in this study highlight the potential use of this method for routine clinical practice. BMJ Group 2011-06-24 /pmc/articles/PMC3191415/ /pubmed/22021749 http://dx.doi.org/10.1136/bmjopen-2011-000071 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Dentistry and Oral Medicine
Jayanthi, J L
Nisha, G U
Manju, S
Philip, E K
Jeemon, P
Baiju, K V
Beena, V T
Subhash, N
Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title_full Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title_fullStr Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title_full_unstemmed Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title_short Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
title_sort diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
topic Dentistry and Oral Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191415/
https://www.ncbi.nlm.nih.gov/pubmed/22021749
http://dx.doi.org/10.1136/bmjopen-2011-000071
work_keys_str_mv AT jayanthijl diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT nishagu diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT manjus diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT philipek diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT jeemonp diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT baijukv diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT beenavt diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity
AT subhashn diffusereflectancespectroscopydiagnosticaccuracyofanoninvasivescreeningtechniqueforearlydetectionofmalignantchangesintheoralcavity