Using AI to improve diagnosis of colorectal lesions during endoscopy
Clinical Study on the Diagnosis of Colorectal Lesions by Real-time Artificial Intelligence Assisted Endocytoscopy Combined With Narrow Band Imaging
The First Hospital of Jilin University · NCT06982885
This study is testing if using real-time artificial intelligence during colonoscopies can help doctors better identify colorectal lesions and reduce unnecessary surgeries.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Sex | All |
| Sponsor | The First Hospital of Jilin University (other) |
| Locations | 1 site (Changchun, Jilin) |
| Trial ID | NCT06982885 on ClinicalTrials.gov |
What this trial studies
This clinical study aims to enhance the diagnostic accuracy of endoscopy for colorectal lesions by utilizing real-time artificial intelligence combined with narrow band imaging techniques. The focus is on differentiating between neoplastic and non-neoplastic lesions during colonoscopy, which can help reduce unnecessary resections and associated costs. By applying advanced imaging techniques, the study seeks to improve early detection of colorectal cancer, which is crucial for effective treatment and patient outcomes.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals with colorectal lesions identified during routine colonoscopy.
Not a fit: Patients with inflammatory bowel disease, submucosal tumors, or specific pathological diagnoses such as Peutz-Jeghers polyps may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate diagnoses and potentially reduce the number of unnecessary surgical procedures for patients with non-neoplastic lesions.
How similar studies have performed: While the use of artificial intelligence in endoscopy is a growing field, this specific combination of AI and narrow band imaging 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 Peutz-Jeghers polyps, juvenile polyps, lymphoma and other pathological types.
Where this trial is running
Changchun, Jilin
- First Hospital of Jilin University — Changchun, Jilin, China (RECRUITING)
Study contacts
- Study coordinator: Mingqing Liu
- Email: liumq23@mails.jlu.edu.cn
- Phone: 15043076005
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.
Conditions: Endocytoscopy, endocytoscopy, artificial intelligence