Comparing AI-assisted endocytoscopy for colorectal lesions
Comparison of the Diagnostic Performance of Different Artificial Intelligence Assisted Endocytoscopy for Colorectal Lesions
This study is testing if using artificial intelligence during colon exams can help doctors better identify different types of colorectal lesions to improve patient care.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 500 (estimated) |
| Sex | All |
| Sponsor | The First Hospital of Jilin University Academic / other |
| Locations | 1 site (Changchun, Jilin) |
| Trial ID | NCT06982872 on ClinicalTrials.gov |
What this trial studies
This study evaluates the diagnostic performance of various artificial intelligence-assisted endocytoscopy techniques for identifying colorectal lesions. By enhancing the accuracy of endoscopic examinations, the study aims to differentiate between neoplastic and non-neoplastic lesions during colonoscopy. This could potentially reduce unnecessary resections and associated costs while improving patient outcomes. The observational nature of the study allows for real-world data collection on the effectiveness of these AI technologies in clinical settings.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals with colorectal lesions who are undergoing colonoscopy.
Not a fit: Patients with lesions that do not have high-quality images or those with specific conditions like inflammatory bowel disease or submucosal tumors 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 management.
How similar studies have performed: Other studies have shown promise in using artificial intelligence for enhancing endoscopic diagnostics, indicating a potential for success in this approach.
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, Doctor
- 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.