The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion

NCT07467928 | Recruiting

• 1 other identifier: AI Colonoscopy followup
• Study Type: interventional
• Target: 404
• Locations: 1 country
• Sites: 1

Brief Summary

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

Conditions

Colonic Polyps; Artifical Intelligence; Advanced Metachonous Colonic Lesion

Keywords

Colonic polyps; Artificial intelligence; Surveillance colonoscopy; advanced metachonous colonic lesion

Outcome Measures

Primary Outcomes (1)

• the cumulative risk of metachronous advanced colonic lesions

  the cumulative risk of metachronous advanced colonic lesions

  Three years

Secondary Outcomes (3)

• cumulative risk of non-advanced metachronous adenoma and serrated lesions

  three years

• mean number of metachronous advanced colonic lesions

  three years

• mean number of metachronous adenomas, advanced adenomas, serrated lesions, and advanced serrated lesions

  three years

Study Arms (1)

Surveillance colonoscopy

OTHER

Surveillance colonoscopy

Procedure: Suveillance colonoscopy

Interventions

Suveillance colonoscopy PROCEDURE

Surveillance colonoscopy

Surveillance colonoscopy

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Eligible participants are those who were previously enrolled and completed our randomized controlled trial comparing AI-assisted and conventional colonoscopy

You may not qualify if:

• 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

Sponsors & Collaborators

• The University of Hong Kong: lead

Study Sites (1)

Queen Mary Hospital

Hong Kong, Hong Kong

RECRUITING

MeSH Terms

Conditions

Colonic Polyps

Condition Hierarchy (Ancestors)

Intestinal Polyps; Polyps; Pathological Conditions, Anatomical; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Thomas KL Clinical Assoicate Professor, MD

CONTACT

852 + 97360997; tkllui@hku.kh

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Associate Professor

Study Record Dates

• First Submitted: March 8, 2026
• First Posted: March 12, 2026
• Study Start: July 1, 2025
• Primary Completion (Estimated): December 31, 2027
• Study Completion (Estimated): February 28, 2028
• Last Updated: March 12, 2026

Record last verified: 2026-03

Locations

HK (1)