Advanced Imaging and Sampling in Barrett's Esophagus: Artificial Intelligence to the Rescue?

Journal: Gastrointestinal endoscopy clinics of North America
Published Date: Oct 26, 2020

Abstract

Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of random biopsies and a high miss-rate of early neoplastic lesions, many new endoscopic imaging and sampling techniques have been developed. None of these techniques, however, have significantly increased the diagnostic yield of BE neoplasia. In fact, these techniques have led to an increase in the amount of visible information, yet endoscopists and pathologists inevitably suffer from variations in intra- and interobserver agreement. Artificial intelligence systems have the potential to overcome these endoscopist-dependent limitations.

Authors

  • Maarten R Struyvenberg
    Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Albert J de Groof
    Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Jacques J Bergman
    Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
  • Fons van der Sommen
    VCA Research Group, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Peter H N de With
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Vani J A Konda
    Department of Gastroenterology and Hepatology, Baylor University Medical Center, 3500 Gaston Ave, Dallas, TX 75246, USA.
  • Wouter L Curvers
    Department of Gastroenterology and Hepatology, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.

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