Combination of Binary System with Ki67 Immunohistochemical Staining: a Reliable Grading Method for Oral Epithelial Dysplasia
Autor: | Negar Akafzadeh, Fereshteh Baghaei, Samira Derakhshan, Monir Moradzadeh Khiavi, Mohamadjavad Kharazifard, Pouyan Aminishakib |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Journal of Dentistry, Vol Supplement-September-2022, Iss Supplement-September-2022, Pp 377-382 (2022) |
Druh dokumentu: | article |
ISSN: | 2345-6485 2345-6418 |
DOI: | 10.30476/DENTJODS.2021.91032.1546 |
Popis: | Statement of the Problem: Oral epithelial dysplasia (OED) is a common potentially malignant lesion of oral cavity that should be managed to prevent likely malignant transformation. Purpose: Here, we present a combination of binary grading system with complementary immunohistochemical (IHC) staining for Ki67 biomarker to provide a reproducible OED grading system. Materials and Method: In this cross-sectional study, seventy out of one hundred OED specimens, which were accompanied by IHC stained microscopic slides for Ki67 antigen were evaluated by four independent oral pathologists. Both three-tier and binary grading systems based on WHO microscopic criteria were employed , blindly in a four-step method with at least two-week interval between each observation. Intra- and inter-observational reliability was assessed using Kappa statistical analysis. Results: OED diagnosis based on binary system showed significant intra-observer reliability comparing to three-tier system without biomarker. Moreover, OED diagnosis based on binary system using Ki67 biomarker showed significant inter-observer reliability comparing to diagnosis in three tier system and based on binary system without Ki67 biomarker showed significant inter-observer reliability comparing to diagnosis based on three-tier system without Ki67. Conclusion: Here, we found that application of IHC staining for Ki67 biomarker in binary system might provide a more reliable grading method for oral pathologist form different educational background. |
Databáze: | Directory of Open Access Journals |
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