Impact of Automatic Polyp Detection System on Adenoma Detection Rate

Last updated: April 3, 2021
Sponsor: Changhai Hospital
Overall Status: Active - Recruiting

Phase

N/A

Condition

Colon Polyps

Polyps

Treatment

N/A

Clinical Study ID

NCT03967756
AI-2
  • Ages 40-85
  • All Genders

Study Summary

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Patients aged between 40-85 years old who have indications for screening, surveillanceand diagnostic.
  • Patients who have signed inform consent form.

Exclusion

Exclusion Criteria:

  • Patients who have undergone colonic resection
  • Patients with intracranial and/or central nervous system disease, including cerebralinfarction and cerebral hemorrhage.
  • Patients with severe chronic cardiopulmonary and renal disease.
  • Patients who are unwilling or unable to consent.
  • Patients who are not suitable for colonoscopy
  • Patients who received urgent or therapeutic colonoscopy
  • Patients with pregnancy, inflammatory bowel disease, polyposis of colon, colorectalcancer, or intestinal obstruction
  • Patients who are taking aspirin, clopidogrel or other anticoagulants
  • Patients with withdrawal time < 6 min

Study Design

Total Participants: 1118
Study Start date:
June 01, 2019
Estimated Completion Date:
October 01, 2021

Connect with a study center

  • Changhai Hospital, Second Military Medical University

    Shanghai, 200433
    China

    Active - Recruiting

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