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Inter- and intra-observer variability in three grading systems for oral epithelial dysplasia
Lakshmi Krishnan1, Karuppiah Karpagaselvi2, Jayalakshmi Kumarswamy2
1Private Dental Practitioner, Mysuru, India.
Journal of Oral and Maxillofacial Pathology : JOMFP
|September 8, 2016
Summary
The binary system for grading oral epithelial dysplasia (OED) showed better agreement between pathologists than WHO or Ljubljana systems. Standardizing criteria and training can improve diagnostic consistency for OED.
Area of Science:
- Oral pathology
- Histopathology
- Cancer diagnostics
Background:
- Oral epithelial dysplasia (OED) grading is crucial for predicting malignant potential of oral premalignant lesions.
- Existing OED grading systems are subjective and exhibit variability.
- Assessing inter- and intra-observer variability is key to improving diagnostic reliability.
Purpose of the Study:
- To evaluate the inter- and intra-observer variability of three OED grading systems: Binary, WHO (2005), and Ljubljana.
- To compare the diagnostic consistency across different grading systems for oral leukoplakia.
- To identify potential improvements for reducing subjectivity in OED diagnosis.
Main Methods:
- Histopathological grading of 63 leukoplakia cases by three pathologists using Binary, WHO (2005), and Ljubljana systems.
- Pathologists were blinded to case identity and grading system used.
- Inter- and intra-observer variability assessed using multivariate kappa analysis over repeated observations.
Main Results:
- Inter-observer agreement was slight to poor across all three systems (Binary, WHO, Ljubljana).
- Intra-observer agreement varied from slight to moderate across the systems.
- The binary system demonstrated the best overall inter- and intra-observer agreement among the evaluated systems.
Conclusions:
- The binary classification system offers improved inter- and intra-observer agreement for OED grading.
- Enhanced intra-observer agreement was observed across all systems and individual parameters.
- Objective parameter definition, reproducible system structuring, and pathologist training are recommended to minimize diagnostic variability.
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