Using AI for real-time diagnosis of colorectal growths
Real-time Artificial Intelligence-based Endocytoscopic Diagnosis of Colorectal Neoplasms: a Single Center, Prospective Clinical Study
This study is testing if using artificial intelligence during endoscopy can help doctors better identify colorectal growths to avoid unnecessary surgeries for patients.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 350 (estimated) |
| Sex | All |
| Sponsor | The First Hospital of Jilin University Academic / other |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 1 site (Changchun, Jilin) |
| Trial ID | NCT06335654 on ClinicalTrials.gov |
What this trial studies
This observational study focuses on improving the diagnosis of colorectal neoplasms through the use of an artificial intelligence system during endocytoscopy. By enhancing the ability to distinguish between neoplastic and non-neoplastic lesions, the study aims to reduce unnecessary resections and associated costs. The approach leverages advanced endoscopic techniques to provide real-time diagnostic support, potentially leading to better patient outcomes. The study is conducted at The First Hospital of Jilin University in Changchun, Jilin.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals with colorectal lesions requiring diagnostic evaluation.
Not a fit: Patients with non-epithelial tumors or a history of 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 management.
How similar studies have performed: While the application of AI in endoscopic procedures is a growing field, this specific approach to real-time diagnosis of colorectal neoplasms is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * colorectal lesions Exclusion Criteria: * non-epithelial tumors * a history of inflammatory bowel disease * chemotherapy or radiation therapy for colorectal cancer * lesions without clear EC images * specific pathological types * familial adenomatous polyposis
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: +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.