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A multicenter prospective randomized controlled trial for the impact of a computer-aided colon polyp detection system based on deep learning on colon adenoma detection during colonoscopy in comparison with junior endoscopist second observer

Investigation for the impact of a computer-aided colon polyp detection system based on deep learning on colon adenoma detection during colonoscopy in comparison with junior endoscopist second observer

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR1900025235
Enrollment
Unknown
Registered
2019-08-17
Start date
2019-09-02
Completion date
Unknown
Last updated
2020-05-04

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

Conditions

colon polyp

Interventions

CADe-assisted:CADe-assisted to report colon polyp
junior endoscopist-assisted:junior endoscopist assisted to report colon polyp

Sponsors

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: Consecutive patients for colonoscopy examination, aged 18-75 years.

Exclusion criteria

Exclusion criteria: 1. Patients with a history of imflammatory bowel disease (IBD) colorectal cancer(CRC)colorectal surgery, or contraindication for biopsy, lower gastrointestinal bleeding,cardiopulmonary insufficiency; 2. Patients with prior failed colonoscopies and high suspicion for polyposis syndromes, IBD and CRC.

Design outcomes

Primary

MeasureTime frame
adenoma per colonoscopy;—

Secondary

MeasureTime frame
polyp per colonoscopy;adenoma detection rate;polyp detection rate;—

Countries

China

Contacts

Public ContactLiangping Li

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

18981838872@163.com+86 18981838872

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 10, 2026