Real-Time CAD for Colonic Neoplasia: A RCT
Not Applicable
Completed
- Conditions
- Colorectal CancerColorectal Neoplasms
- Interventions
- Procedure: Stanford ColonoscopyDevice: Real-Time Computer Aided Detection
- Registration Number
- NCT05963724
- Brief Summary
This study assesses the sensitivity and added benefits of computer-aided detection compared to standard care (white-light) in detecting colon polyps in patients undergoing colonoscopy.
- Detailed Description
Failure in polyp detection leads to colon cancer after colonoscopy. Artificial intelligence systems allow real-time computer-aided detection of polyps with high-accuracy. This study will compare GI-Genius, a real-time CAD system to standard colonoscopy in terms of how many colonoscopies detect an adenoma.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1100
Inclusion Criteria
- Undergoing colonoscopy at RUHS
- Age > 45 years
- No contraindications to colonoscopy
Exclusion Criteria
- Prior history of subtotal colectomy
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Standard Colonoscopy Stanford Colonoscopy - Real-Time Computer Aided Detection Real-Time Computer Aided Detection -
- Primary Outcome Measures
Name Time Method Adenoma Detection Rate 1 year
- Secondary Outcome Measures
Name Time Method Withdrawal Time 1 year Adenomas Per Colon 1 year Sessile Serrated Lesions Per Colon 1 year Sessile Serrated Lesion Detection Rate 1 year False Neoplasia Rate 1 year
Trial Locations
- Locations (1)
Riverside University Health System
🇺🇸Moreno Valley, California, United States