Artificial intelligence for dysplasia detection during surveillance colonoscopy in patients with ulcerative colitis: A cross-sectional, non-inferiority, diagnostic test comparison study.

Journal: Gastroenterologia y hepatologia
PMID: 38740327

Abstract

BACKGROUND AND STUDY AIM: High-definition virtual chromoendoscopy, along with targeted biopsies, is recommended for dysplasia surveillance in ulcerative colitis patients at risk for colorectal cancer. Computer-aided detection (CADe) systems aim to improve colonic adenoma detection, however their efficacy in detecting polyps and adenomas in this context remains unclear. This study evaluates the CADe Discovery™ system's effectiveness in detecting colonic dysplasia in ulcerative colitis patients at risk for colorectal cancer.

Authors

  • Antonio López-Serrano
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain; Department of Medicine, Universitat de Valencia, Valencia, Spain. Electronic address: anlopezs@comv.es.
  • Alba Voces
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.
  • José Ramón Lorente
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.
  • Francisco José Santonja
    Statistics and Operational Research Department, Universitat de Valencia, Valencia, Spain.
  • Angela Algarra
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.
  • Patricia Latorre
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.
  • Pablo Del Pozo
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.
  • José María Paredes
    Gastroenterology Department, Hospital Universitari Dr. Peset, Valencia, Spain.

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