AI-assisted endoscopy for diagnosing colorectal lesions
Real-time AI-assisted Endocytoscopy for the Diagnosis of Colorectal Lesions: a Multi-center, Prospective Clinical Study
This study is testing if using artificial intelligence during colonoscopy can help doctors better identify colorectal lesions, so patients can avoid unnecessary surgeries.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 508 (estimated) |
| Sex | All |
| Sponsor | The First Hospital of Jilin University Academic / other |
| Locations | 1 site (Changchun, Jilin) |
| Trial ID | NCT06791395 on ClinicalTrials.gov |
What this trial studies
This observational study aims to enhance the diagnostic accuracy of endoscopy for colorectal lesions using an artificial intelligence platform specifically designed for endocytoscopy. By applying advanced imaging techniques, the study seeks to differentiate between neoplastic and non-neoplastic colorectal lesions during colonoscopy. This approach could potentially reduce unnecessary resections and associated costs by accurately identifying lesions that do not require surgical intervention. The study will involve patients with colorectal lesions and will be conducted at The First Hospital of Jilin University.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals with identified colorectal lesions requiring diagnostic evaluation.
Not a fit: Patients with lesions that do not have high-quality images or those with specific conditions like inflammatory bowel disease may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate diagnoses of colorectal lesions, reducing unnecessary surgeries and improving patient outcomes.
How similar studies have performed: While the use of AI in endoscopy is a growing field, this specific application of AI-assisted endocytoscopy for colorectal lesions is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
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 this trial is running
Changchun, Jilin
- The 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.