Artificial Intelligence-assisted Colonoscopy on Detection of Missed Proximal Lesions
- Conditions
- Colon AdenomaColon Polyp
- Interventions
- Device: Artificial intelligence-Assisted colonoscopyProcedure: Conventional colonoscopy
- Registration Number
- NCT04294355
- Lead Sponsor
- The University of Hong Kong
- Brief Summary
This is a prospective multi-center randomized study is to determine whether the use of artificial intelligence (AI)-assistance could reduce the miss rates of polyps and adenomas in the proximal colon during tandem examination
- Detailed Description
Centers
1. Queen Mary Hospital, Hong Kong, China (Co-ordinating Center)
2. Tan Tock Seng Hospital, Singapore, Singapore
3. Institute of Gastroenterology and Hepatology, Vietnam Union of Science and Technology Association, Hanoi, Vietnam
Study population
Inclusion:
All adult patients, aged 40 or above, undergoing outpatient colonoscopy in the participating centers will be recruited.
Exclusion:
* history of inflammatory bowel disease
* history of colorectal cancer
* previous bowel resection (apart from appendectomy)
* Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
* bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe.
Post-randomization exclusion:
* Cecum could not be intubated for various reasons
* Boston Bowel Preparation Scale (BBPS) score of the proximal colon is \<2
Study design This is a prospective randomized trial comparing the miss rates of proximal colonic lesions by AI assisted colonoscopy or conventional colonoscopy (Fig. 1). The study will be conducted in the Endoscopy Centre of the participating hospitals.
Randomization Eligible patients in each center will be randomly allocated in a 1:1 ratio to undergo tandem colonoscopy of the proximal colon first with AI-assistance and follow by conventional white light colonoscopy (Group 1) or conventional white light colonoscopy without AI assistance follow by conventional colonoscopy (Group 2). Proximal colon refers to colonic segment proximal to the splenic flexure. Randomization will be conducted in blocks of 4 by computer generated random sequences and stratified according to indications of colonoscopy (symptomatic vs screening/surveillance). Patients will be blinded to the group assignment.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 216
- All adult patients, aged 40 or above, undergoing outpatient colonoscopy in the participating centers will be recruited
- history of inflammatory bowel disease
- history of colorectal cancer
- previous bowel resection (apart from appendectomy)
- Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
- bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Artificial intelligence-Assisted colonoscopy Artificial intelligence-Assisted colonoscopy Tandem colonoscopy of proximal colon assisted with artificial intelligence followed by conventional colonoscopy Conventional colonoscopy Conventional colonoscopy Tandem conventional colonoscopy of proximal colon followed by usual conventional colonoscopy Artificial intelligence-Assisted colonoscopy Conventional colonoscopy Tandem colonoscopy of proximal colon assisted with artificial intelligence followed by conventional colonoscopy
- Primary Outcome Measures
Name Time Method Proximal adenoma missed rate One day The proportion of patients with missed adenomas detected in the second examination only
- Secondary Outcome Measures
Name Time Method Proximal polyp detection One day The proportion of patients with at least one polyp
Proximal adenoma detection rate One day The proportion of patients with at least one adenoma
Proximal polyp missed rate One day The proportion of patients with missed adenomas detected in the second examination only
Trial Locations
- Locations (3)
Queen Mary Hospital
π¨π³Hong Kong, China
Tan Tock Seng Hospital
πΈπ¬Singapore, Singapore
Institute of Gastroenterology and Hepatology
π»π³Hanoi, Vietnam