Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence
Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence - a Prospective Longitudinal Follow-up of Randomized Controlled Trial
Chinese University of Hong Kong
775 participants
Jan 24, 2024
INTERVENTIONAL
Conditions
Summary
We hypothesize that AI-assisted colonoscopy can reduce post-colonoscopy neoplasia incidence after 3 years, over standard colonoscopy. Moreover, this protective effect may allow surveillance intervals to be lengthened, by modifying long-term outcome of high-risk subgroup.
Eligibility
Inclusion Criteria2
- Subjects are eligible if:
- (i) They underwent randomization to receive colonoscopy with/without CADe in ENDOAID-TRAIN study \[NCT04838951\]; (ii) They are fit and willing to undergo surveillance colonoscopy at year 3; (iii) Written informed consent obtained.
Exclusion Criteria2
- Subjects will be excluded from the study if they have any of the followings:
- (i) Incomplete colonoscopy during index procedure; (ii) Known residual colorectal neoplasia not removed (except hyperplastic polyps); (iii) Underwent unscheduled interval colonoscopy before year 3; (iv) Contraindications to surveillance colonoscopy at year 3; (v) Advanced comorbid (American Society of Anesthesiologists grade 4 or above); (vi) History of CRC, hereditary polyposis syndrome or inflammatory bowel disease; (vii) History of colectomy at any time point.
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Interventions
ENDO-AID CADe will be used during the withdrawal process of the colonscopy
Locations(1)
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NCT06251700