Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurren
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.
| Condition(s) | Screening Colonscopy |
|---|---|
| Status | Recruiting |
| Phase | NA |
| Study type | Interventional |
| 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. |
| Who can participate | Inclusion Criteria: 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 Criteria: 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; (vi |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | Chinese University of Hong Kong |
| Locations | Hong Kong, Hong Kong |
| Start date | 2024-01-24 |
| NCT ID | NCT06251700 |
| Official listing | https://clinicaltrials.gov/study/NCT06251700 |