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Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach

BACKGROUND: In the context of early diagnosis and prevention of oral cancer, precise assessment of malignant potentiality of the oral potentially malignant disorders, particularly oral submucous fibrosis (OSF) is crucial. Till date, the assessment of malignant potentiality suffers from predictive am...

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Autores principales: Pal, Mousumi, Nawn, Debaleena, Lahiri, Pooja, Das, Debnath, Paul, Ranjan Rashmi, Chakraborty, Debjani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269314/
https://www.ncbi.nlm.nih.gov/pubmed/32508480
http://dx.doi.org/10.4103/jomfp.JOMFP_297_19
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author Pal, Mousumi
Nawn, Debaleena
Lahiri, Pooja
Das, Debnath
Paul, Ranjan Rashmi
Chakraborty, Debjani
author_facet Pal, Mousumi
Nawn, Debaleena
Lahiri, Pooja
Das, Debnath
Paul, Ranjan Rashmi
Chakraborty, Debjani
author_sort Pal, Mousumi
collection PubMed
description BACKGROUND: In the context of early diagnosis and prevention of oral cancer, precise assessment of malignant potentiality of the oral potentially malignant disorders, particularly oral submucous fibrosis (OSF) is crucial. Till date, the assessment of malignant potentiality suffers from predictive ambiguity due to the lack of precision in the gold standard techniques. This can be addressed by integrating heuristic domain knowledge with quantitative analysis. AIM: The aim of this study is to propose an index for enhancing accuracy in malignant potentiality evaluation. MATERIALS AND METHODS: The present study analyzes important histomorphometric attributes (epithelial thickness, basal cell nuclear size, nuclear-to-cytoplasmic area ratio of basal cells, chromaticity of basal cell nucleus, thickness of basement membrane, ratio of vasculature in juxta-epithelial connective tissue [i.e., area covered by blood vessels/total area], collagen density in the lamina propria) of oral mucosa in dysplastic and nondysplastic OSF in association with relevant oncopathological appreciations (weightage of different features as suggested by oral pathologists) toward proposing a “Malignant Potentiality Index” (MPI). RESULTS: Analysis of variance and notch box plot analysis depict statistically significant differences (P < 0.0001) in the histopathological features among different study groups (normal oral mucosa, OSF without dysplasia, OSF with dysplasia). Histopathological observation of one OSF patient with calculated MPI is shown. CONCLUSION: This newly proposed diagnostic cum prognostic decision-making parameter, the “MPI” may bring a value addition to the conventional diagnostic gold standard.
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spelling pubmed-72693142020-06-05 Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach Pal, Mousumi Nawn, Debaleena Lahiri, Pooja Das, Debnath Paul, Ranjan Rashmi Chakraborty, Debjani J Oral Maxillofac Pathol Original Article BACKGROUND: In the context of early diagnosis and prevention of oral cancer, precise assessment of malignant potentiality of the oral potentially malignant disorders, particularly oral submucous fibrosis (OSF) is crucial. Till date, the assessment of malignant potentiality suffers from predictive ambiguity due to the lack of precision in the gold standard techniques. This can be addressed by integrating heuristic domain knowledge with quantitative analysis. AIM: The aim of this study is to propose an index for enhancing accuracy in malignant potentiality evaluation. MATERIALS AND METHODS: The present study analyzes important histomorphometric attributes (epithelial thickness, basal cell nuclear size, nuclear-to-cytoplasmic area ratio of basal cells, chromaticity of basal cell nucleus, thickness of basement membrane, ratio of vasculature in juxta-epithelial connective tissue [i.e., area covered by blood vessels/total area], collagen density in the lamina propria) of oral mucosa in dysplastic and nondysplastic OSF in association with relevant oncopathological appreciations (weightage of different features as suggested by oral pathologists) toward proposing a “Malignant Potentiality Index” (MPI). RESULTS: Analysis of variance and notch box plot analysis depict statistically significant differences (P < 0.0001) in the histopathological features among different study groups (normal oral mucosa, OSF without dysplasia, OSF with dysplasia). Histopathological observation of one OSF patient with calculated MPI is shown. CONCLUSION: This newly proposed diagnostic cum prognostic decision-making parameter, the “MPI” may bring a value addition to the conventional diagnostic gold standard. Wolters Kluwer - Medknow 2020 2020-05-08 /pmc/articles/PMC7269314/ /pubmed/32508480 http://dx.doi.org/10.4103/jomfp.JOMFP_297_19 Text en Copyright: © 2020 Journal of Oral and Maxillofacial Pathology http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Pal, Mousumi
Nawn, Debaleena
Lahiri, Pooja
Das, Debnath
Paul, Ranjan Rashmi
Chakraborty, Debjani
Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title_full Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title_fullStr Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title_full_unstemmed Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title_short Malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
title_sort malignant potentiality assessment of oral submucous fibrosis through semi-quantitative approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269314/
https://www.ncbi.nlm.nih.gov/pubmed/32508480
http://dx.doi.org/10.4103/jomfp.JOMFP_297_19
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