Using AI to improve the diagnosis of small colorectal polyps
Official title: Clinical Study on the Accuracy of Real-time AI-assisted Endocytoscopy in the Diagnosis of Colorectal Diminutive Polyps
Run by The First Hospital of Jilin University · NCT06791408 · Data updated 2026-11-12
This study is testing whether using AI during colonoscopy can help doctors find small colorectal polyps more accurately, which could reduce unnecessary procedures for patients.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 600 (estimated) |
| Sponsor | The First Hospital of Jilin University Academic / other |
| Locations | 1 site (Changchun, Jilin) |
| Status | Recruiting |
| Started | February 5, 2025 |
| Main results expected | December 31, 2025 |
| Study ends | December 31, 2025 |
| Registry record updated | March 7, 2025 |
| Trial ID | NCT06791408 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals with colorectal lesions who are undergoing colonoscopy.
✕Probably not a fit
Patients with inflammatory bowel disease, familial adenomatous polyposis, or other specific conditions may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical study evaluates the accuracy of real-time AI-assisted endocytoscopy for diagnosing colorectal diminutive polyps. It aims to enhance the detection of small polyps during colonoscopy, potentially reducing unnecessary procedures and costs associated with the pathological examination of non-neoplastic lesions. The study focuses on patients with colorectal lesions while excluding those with specific conditions that may complicate diagnosis. By leveraging advanced imaging technology, the study seeks to improve diagnostic precision in colorectal cancer screening.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate diagnoses and reduced unnecessary treatments for patients with colorectal polyps.
How similar studies have gone: While the use of AI in endoscopy is a growing field, this specific approach to diagnosing diminutive polyps is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * colorectal lesions Exclusion Criteria: * lesions lacking high-quality images; * Inflammatory bowel disease, familial adenomatous polyposis and other special diseases; * submucosal tumors; * Pathological diagnosis of inflammatory polyps, Peutz-Jeghers polyps, juvenile polyps, lymphoma and other pathological types.
Where it's running
-
First Hospital of Jilin University
Changchun, Jilin, China Recruiting
Study contacts
- Principal investigator: Hong Xu, Docror — The First Hospital of Jilin University
- Study coordinator: Mingqing Liu, Docror
- Email: liumq23@mails.jlu.edu.cn
- Phone: +8613204300453
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.