New Insights for Consummate Diagnosis and Management of Oral Submucous Fibrosis Using Reactive and Reparative Fibrotic Parameter Derived Algorithm.
OSMF
reactive fibrosis
reparative fibrosis
Journal
Journal of pharmacy & bioallied sciences
ISSN: 0976-4879
Titre abrégé: J Pharm Bioallied Sci
Pays: India
ID NLM: 101537209
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
12
12
2020
revised:
13
12
2020
accepted:
15
12
2020
entrez:
27
8
2021
pubmed:
28
8
2021
medline:
28
8
2021
Statut:
ppublish
Résumé
Reproducibility of qualitative changes in histopathological diagnosis involving narrow variation is often challenging. This study aims to characterize the histological fibrotic events in detail so as to derive an in-depth multiparametric algorithm with individually quantified histological parameters for effective monitoring of the. disease process in oral submucous fibrosis and for potential therapeutic targets for early intervention. Formalin fixed paraffin embedded (FFPE) blocks of oral submucous fibrosis (OSMF), were taken and sections were stained with Hematoxylin & Eosin stain and Masson Trichrome stain. Photomicrographs were assessed for various morphometric parameters with Image J software version 1.8. Linear Regression was used to model the relationship using Inflammatory Cell Count, Extent of Inflammation collagen stained area, Epithelial thickness integrated density of collagen, MVPA, Area, Perimeter, were taken as variables. Inflammatory cell count and the extent of inflammation also decreased with increasing grades of OSMF. Collagen proportionate area, integrated collagen density and epithelial thickness were compared among different grades of OSMF. Grade IV OSMF had greatest mean collagen proportionate area , highest integrated collagen density and lowest epithelial thickness when compared to other grades of OSMF. Linear regression model revealed smaller variation between Grade I to Grade II. Whereas Grade II to Grade IV exhibited larger variation suggestive of increased growth rate and all the coefficients were found to lie within 95% confidence limits. Diagnostic algorithm with multiparametric regression model were derived and combinatorial therapeutic approaches have been suggested for more effective management of oral submucous fibrosis.
Identifiants
pubmed: 34447103
doi: 10.4103/jpbs.JPBS_822_20
pii: JPBS-13-323
pmc: PMC8375801
doi:
Types de publication
Journal Article
Langues
eng
Pagination
S323-S332Informations de copyright
Copyright: © 2021 Journal of Pharmacy and Bioallied Sciences.
Déclaration de conflit d'intérêts
There are no conflicts of interest.
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