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The Predictive Accuracy of AI-Assisted Gastroenterologists for Colorectal Polyps Histopathology

The Predictive Accuracy of AI-Assisted Gastroenterologists for Colorectal Polyps Histopathology

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400091665
Enrollment
Unknown
Registered
2024-11-01
Start date
2024-11-01
Completion date
Unknown
Last updated
2024-11-04

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

Conditions

Colorectal polyps

Interventions

Index test:Histological Types of Polyps

Sponsors

The Eighth Affiliated Hospital of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Age 18-80; with indications for colonoscopy; at least 1 or more polyps found during colonoscopy.

Exclusion criteria

Exclusion criteria: There are existing or suspected hereditary polyposis of the colon, inflammatory bowel disease or inflammatory bowel disease, colorectal cancer; colonoscopy within the past 5 years; prior abdominal, pelvic surgery and history of radiation and chemotherapy; contraindications for biopsy or polyp removal; bowel preparation that impairs observation; other conditions that prevent the patient from undergoing colon polyp endoscopic examination.

Design outcomes

Primary

MeasureTime frame
Diagnostic Accuracy Rate;Sensitivity value;specificity value;

Secondary

MeasureTime frame
Youden index;coefficient of variation;Kappa value;Positive Predictive Value;Negaitive Predictive Value;

Countries

China

Contacts

Public ContactHonglei Chen

The Eighth Affiliated Hospital of Sun Yat-Sen University

chl_830830@163.com+86 181 3872 8623

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026