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A study for evaluation of the efficacy of AI-assisted colonoscopy for detecting colonic polyps

A study for evaluation of the efficacy of AI-assisted colonoscopy for detecting colonic polyps

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800015607
Enrollment
Unknown
Registered
2018-04-11
Start date
2018-04-20
Completion date
Unknown
Last updated
2018-04-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal pylops

Interventions

Sponsors

The First Affiliated Hospital, College of Medicine, Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Patients agedd between 20-85 years; 2. Patients with indications for screening, surveillance and diagnostic colonoscopy; 3. Patients who have received at least 3-L polyethylene glycol for bowel preparation; 4. Patients who have signed inform consent form.

Exclusion criteria

Exclusion criteria: Patients who have undergone colonic resection Patients with intracranial and/or central nervous system disease, including cerebral infarction 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, colorectal cancer, or intestinal obstruction Patients who are taking aspirin, clopidogrel or other anticoagulants Patients with Boston Bowel Preparation Scale (BBPS) < 6

Design outcomes

Primary

MeasureTime frame
Polyp detection rate(PDR);

Secondary

MeasureTime frame
Polyps per positive patients (PPP);Polyps per colonoscopy (PPC);Polyp detection rate-Plus (PDR-Plus);

Countries

China

Contacts

Public ContactChaohui Yu

The First Affiliated Hospital, College of Medicine, Zhejiang University

zyyyych@zju.edu.cn+86 13957161659

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 14, 2026