Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model.

Journal: Gut
Published Date: Jan 1, 2019

Abstract

BACKGROUND: In general, academic but not community endoscopists have demonstrated adequate endoscopic differentiation accuracy to make the 'resect and discard' paradigm for diminutive colorectal polyps workable. Computer analysis of video could potentially eliminate the obstacle of interobserver variability in endoscopic polyp interpretation and enable widespread acceptance of 'resect and discard'.

Authors

  • Michael F Byrne
    Division of Gastroenterology, Vancouver General Hospital, Vancouver, British Columbia, Canada.
  • Nicolas Chapados
    Department of Technology, Imagia, Montreal, Quebec, Canada.
  • Florian Soudan
    Department of Technology, Imagia, Montreal, Quebec, Canada.
  • Clemens Oertel
    Department of Technology, Imagia, Montreal, Quebec, Canada.
  • Milagros Linares Pérez
    Department of Gastroenterology, Universidad de Buenos Aires, Buenos Aires, Argentina.
  • Raymond Kelly
    Department of Anaesthetics, Beaumont Hospital, Dublin, Ireland.
  • Nadeem Iqbal
    Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan.
  • Florent Chandelier
    Department of Technology, Imagia, Montreal, Quebec, Canada.
  • Douglas K Rex
    Division of Gastroenterology, Indiana University School of Medicine, Indianapolis, Indiana, USA.

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