A novel AI-based score for assessing the prognostic value of intra-epithelial lymphocytes in oral epithelial dysplasia.

Journal: British journal of cancer
PMID: 39616233

Abstract

BACKGROUND: Oral epithelial dysplasia (OED) poses a significant clinical challenge due to its potential for malignant transformation and the lack of reliable prognostic markers. Current OED grading systems do not reliably predict transformation and suffer from considerable observer variability. Recent studies have highlighted that peri-epithelial lymphocytes may play an important role in OED malignant transformation, with indication that intra-epithelial lymphocytes (IELs) may also be important.

Authors

  • Adam J Shephard
    Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK.
  • Hanya Mahmood
    Academic Unit of Oral & Maxillofacial Surgery, School of Clinical Dentistry, University of Sheffield, Sheffield, UK. h.mahmood@sheffield.ac.uk.
  • Shan E Ahmed Raza
    Division of Molecular Pathology, The Institute of Cancer Research, UK; Department of Computer Science, University of Warwick, UK; Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK. Electronic address: shan.raza@icr.ac.uk.
  • Syed Ali Khurram
    Senior Clinical Lecturer, Consultant Oral Pathologist, University of Sheffield, Sheffield, UK.
  • Nasir M Rajpoot

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