Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

Jan 26, 2020The lancet. Gastroenterology & hepatology

How a deep-learning computer system may improve finding growths during colonoscopy

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Abstract

Among 484 patients, 34% in the computer-aided detection (CADe) group had adenomas detected compared to 28% in the sham group.

  • The adenoma detection rate (ADR) was significantly higher in the CADe group with an odds ratio of 1.36.
  • No complications were reported during any of the colonoscopy procedures.
  • Initially missed polyps identified by the CADe system were generally small, flat, and had unclear boundaries.
  • Some polyps missed by endoscopists were located partly behind colon folds or on the edge of the visual field.

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