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November 11, 2025Journal of Oral Pathology and MedicineOpen Access

Predicting Malignant Transformation in Oral Leukoplakia: A Multilayer Perceptron Approach Incorporating Clinicopathological Features and DNA Content

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Authors

GPGuilherme Iani PontesAAAnna Luíza Damaceno AraújoASAndresa Borges Soares

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Overview

A multilayer perceptron model predicts malignant transformation in oral leukoplakia, highlighting histopathological features and S-phase involvement.

Key Points

  • Malignant transformation risk was predicted with 72% sensitivity and 96% specificity in oral leukoplakia.
  • The multilayer perceptron model incorporated histopathological features and DNA content analysis in its predictions.
  • Significant predictors included S-phase and dysplasia grading in cases followed for at least five years.
  • Integrating DNA content with machine learning can help personalize patient management in oral leukoplakia.

Cite This Study

Pontes et al. (2025) studied this question.

synapsesocial.com/papers/69252ea3c0ce034ddc3568c0https://doi.org/10.1111/jop.70084
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Malignant Transformation of Oral Leukoplakia and Proliferative Verrucous Leukoplakia and Its Biomarker Predictors: A Systematic Umbrella Review2025 · 6 citations
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  4. 4Multidimensional Artificial Intelligence–Based Cancer Progression Prediction in Oral Leukoplakia2025 · 2 citations
  5. 5Biomarker-based machine learning for malignant transformation in oral potentially malignant disorders: a scoping review2026