The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Suveillance colonoscopy.
- Who it may be relevant to
- Registry conditions: Colonic Polyps, Artifical Intelligence, Advanced Metachonous Colonic Lesion. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Hong Kong
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The goal of this prospective study is to to evaluate the prevalence of metachronous advanced colonic lesions in subsequent surveillance colonoscopies in patients who had previously undergone AI-assisted colonoscopy to conventional colonoscopy examinations. The main question it aims to answer is whether employing AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies. Researchers will compare patient who undergo conventional colonoscopy in previous colonoscopy to see if AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies. Participants will undergo surveillance colonoscopy to assess the presence of metachronous advanced colonic lesion
Interventions
- Procedure Suveillance colonoscopy
Surveillance colonoscopy
Primary outcome measures
- the cumulative risk of metachronous advanced colonic lesions [Time frame: Three years]
Secondary outcome measures (3)
- cumulative risk of non-advanced metachronous adenoma and serrated lesions [Time frame: three years]
- mean number of metachronous advanced colonic lesions [Time frame: three years]
- mean number of metachronous adenomas, advanced adenomas, serrated lesions, and advanced serrated lesions [Time frame: three years]
Eligibility criteria
Inclusion criteria
- Eligible participants are those who were previously enrolled and completed our randomized controlled trial comparing AI-assisted and conventional colonoscopy
Exclusion criteria
- In addition to the baseline exclusion criteria of the index trial, patients who were found to have inflammatory bowel disease, colorectal cancer and underwent bowel resection would be excluded. Similar to index trial, patients who have developed severe comorbid illnesses that make surveillance colonoscopy and polypectomy unsafe, or become unable to provide informed consent for trial participation would also be excluded
Index trial: Lui TK, Lam CP, To EW, Ko MK, Tsui VWM, Liu KS, et al. Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial. Am J Gastroenterol. 2024;119(7):1318-25
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Treatment
Study locations
Hong Kong · 1 center
- Queen Mary Hospital — Hong Kong
Identifiers
NCT: NCT07467928 · AI Colonoscopy followup