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Independent Multicentre Validation of the 'Six-Point' Model for Malignant Transformation Risk in Oral Epithelial
Hanya Mahmood1, Mike Bradburn2, Nadim M Islam3
1School of Clinical Dentistry, Faculty of Health, University of Sheffield, Sheffield, UK.
Oral Diseases
|December 26, 2025
Summary
The six-point system offers superior prediction of oral epithelial dysplasia malignant transformation compared to current methods. This histological feature-specific model improves prognostic reliability for oral cancer risk assessment.
Area of Science:
- Oral pathology
- Histopathology
- Cancer prognostics
Background:
- Histological grading of oral epithelial dysplasia (OED) predicts malignant transformation risk but suffers from subjectivity and observer variability.
- Conventional grading systems lead to inconsistent prognosis prediction for OED.
- Feature-specific models, like the 'six-point' and 'two-point' systems, offer potential improvements in prognostic reliability.
Purpose of the Study:
- To conduct a multicentre validation of the 'six-point' and 'two-point' histological feature-specific models for OED.
- To compare the prognostic reliability of these models against conventional grading systems.
- To evaluate the predictive value of the 'six-point' and 'two-point' models for malignant transformation risk.
Main Methods:
- 102 OED cases from four independent centres (Sheffield, Belfast, Birmingham, Piracicaba) were analyzed.
- Cases were scored using the 'six-point' and 'two-point' models by independent observers.
- Feature prevalence, observer agreement, and malignant transformation risk were evaluated and compared to conventional grading.
Main Results:
- The 'six-point' system showed superior predictive value (AUROC 0.81) compared to the 'two-point' system (AUROC 0.73), WHO grading (AUROC 0.71), and binary grading (AUROC 0.68).
- The 'six-point' model demonstrated a transformation rate of 50% when all six features were present, versus 14% when 2-3 features were present.
- Statistical analysis confirmed the superior performance of the 'six-point' system (p < 0.05 for comparisons).
Conclusions:
- The 'six-point' system demonstrates superior performance for transformation prediction in OED across a multicentric sample.
- Feature-specific histological models are potentially more reliable for prognosis prediction than existing grading systems.
- This study supports the adoption of the 'six-point' system for improved OED risk assessment.
