Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
656 participants
INTERVENTIONAL
2022-05-01
2024-02-29
Brief Summary
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Detailed Description
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Eligible patients will be randomly allocated in a 1:1:1 ratio to three groups. Patients will be stratified according to indications of colonoscopy (symptomatic vs screening/surveillance).
All examination will be performed with high-definition endoscopes (EVIS-EXERA 290 video system, Olympus Optical, Tokyo, Japan) under white light by experienced endoscopists. All endoscopists should have received training on the interpretation of real-time AI detection system as well as the Endocuff before performing study colonoscopy.
In all colonoscopy examination, colonoscope will be first advanced to the cecum as confirmed by identification of the appendiceal orifice and ileocecal valve or by intubation of the ileum. After cecal intubation is performed, the colonoscopy is first withdrawn according to the group assigned. For group 1, the first withdrawal would be done with Endocuff and AI assistance. For group 2, the first withdrawal would be done under AI assistance only. For group 3, the first withdrawal would be done under standard high definition colonoscopy only.
All detected polyps will be removed during the withdrawal only. The size (measured with biopsy forceps), location and morphology of each polyp will be recorded by an independent observer. The withdrawal time (minus the polypectomy site) will be measured by a stopwatch and with a minimum of 6 minutes. The bowel preparation quality will be graded according to the Boston Bowel Preparation Scale
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Endocuff- AI assisted colonoscopy
Endocuff (Olympus, Hong Kong) and AI assisted colonoscopy will be used
Endocuff with AI
Use of endocuff with computer assisted polyp detection
AI-assisted colonoscopy
AI assisted colonoscopy will be used
AI alone
Use of computer assisted polyp detection
Conventional colonoscopy
Conventional colonoscopy will be used without AI or Endocuff.
No interventions assigned to this group
Interventions
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Endocuff with AI
Use of endocuff with computer assisted polyp detection
AI alone
Use of computer assisted polyp detection
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
40 Years
ALL
No
Sponsors
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The University of Hong Kong
OTHER
Responsible Party
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Dr. Lui Ka-Luen
Clinical Associate Professor
Principal Investigators
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Wai Keung Leung, MD
Role: STUDY_DIRECTOR
The University of Hong Kong
Locations
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Queen Mary Hospital
Hong Kong, , Hong Kong
Countries
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Central Contacts
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Facility Contacts
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Thomas K Lui, MBBS
Role: primary
References
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Lui TK, Lam CP, To EW, Ko MK, Tsui VWM, Liu KS, Hui CK, Cheung MK, Mak LL, Hui RW, Wong SY, Seto WK, Leung WK. Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial. Am J Gastroenterol. 2024 Jul 1;119(7):1318-1325. doi: 10.14309/ajg.0000000000002684. Epub 2024 Feb 2.
Other Identifiers
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UW 20-647
Identifier Type: -
Identifier Source: org_study_id
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