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Dataset Information

Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia.


ABSTRACT:

Background

Oral epithelial dysplasia (OED) is the precursor to oral squamous cell carcinoma which is amongst the top ten cancers worldwide. Prognostic significance of conventional histological features in OED is not well established. Many additional histological abnormalities are seen in OED, but are insufficiently investigated, and have not been correlated to clinical outcomes.

Methods

A digital quantitative analysis of epithelial cellularity, nuclear geometry, cytoplasm staining intensity and epithelial architecture/thickness is conducted on 75 OED whole-slide images (252 regions of interest) with feature-specific comparisons between grades and against non-dysplastic/control cases. Multivariable models were developed to evaluate prediction of OED recurrence and malignant t

SUBMITTER: Mahmood H 

PROVIDER: S-EPMC10645879 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature