Deep learning-based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia.

Journal: Cancer medicine
PMID: 36721313

Abstract

BACKGROUND: Oral leukoplakia (OL) is associated with an increased risk for oral cancer (OC) development. Prediction of OL cancer progression may contribute to decreased OC morbidity and mortality by favoring early intervention. Current OL progression risk assessment approaches face large interobserver variability and is weakly prognostic. We hypothesized that convolutional neural networks (CNN)-based histology image analyses could accelerate the discovery of better OC progression risk models.

Authors

  • Xinyi Zhang
    Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
  • Frederico O Gleber-Netto
    Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Shidan Wang
    Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, 5325 Harry Hines Blvd, Dallas, TX, 75390, USA.
  • Roberta Rayra Martins-Chaves
    Faculdade Ciências Médicas de Minas Gerais (FCM-MG), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Ricardo Santiago Gomez
    Department of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Nadarajah Vigneswaran
    Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Arunangshu Sarkar
    Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • William N William
    Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Vassiliki Papadimitrakopoulou
    Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Michelle Williams
    Edinburgh Imaging Facility QMRI, Edinburgh, EH16 4TJ, UK; Centre for Cardiovascular Science, Edinburgh, EH16 4TJ, UK.
  • Diana Bell
    Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Doreen Palsgrove
    The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Justin Bishop
    Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • John V Heymach
    Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ann M Gillenwater
    Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX 77030.
  • Jeffrey N Myers
    Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Renata Ferrarotto
    Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Scott M Lippman
    Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Curtis Rg Pickering
    Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Guanghua Xiao

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