Computer Aided Polyp Detection (C3PO) Trial

Last updated: May 16, 2022
Sponsor: The University of Texas Health Science Center, Houston
Overall Status: Active - Recruiting

Phase

N/A

Condition

Polyps

Colon Polyps

Treatment

N/A

Clinical Study ID

NCT04777019
HSC-MS-20-0687
  • Ages > 18
  • All Genders

Study Summary

Computer aided detection (CADe) algorithms have been developed to overcome human errors and assist endoscopists in detecting more polyps during colonoscopy. The aim of this study was to investigate the accuracy of the novel Pentax Discovery CADe system (Discovery-AI) against pre-recorded videos of colon polyps of various size, shape and pathology while using videos of normal colon segments as controls from two different institutes.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Patients scheduled for a regular or screening colonoscopy at the institution asstandard of care.
  • Over 18 years of age

Exclusion

Exclusion Criteria:

  • None if they qualify based on inclusion criteria
  • Pregnant patients
  • Inmate or prisoners
  • Unable to provide informed consent

Study Design

Total Participants: 1000
Study Start date:
June 07, 2020
Estimated Completion Date:
June 06, 2025

Study Description

Details regarding polyp size and location, morphology including Paris classification, optical assessment, and bowel preparation were prospectively collected and recorded in the online Redcap software. Final results of polyp histology were also collected. The video library was then independently reviewed for quality assessment by 3 experienced gastroenterologists. Videos that passed the initial quality assessment were then independently evaluated using the Discovery-AI system.

Aim of the study was to evaluate overall performance of Discovery-AI system for polyps of various size, morphology and pathology utilizing a prospectively developed video library.

Connect with a study center

  • Memorial Hermann Hospital

    Houston, Texas 77030
    United States

    Active - Recruiting

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