Effective Withdrawal Time and Adenoma Detection Rate

NCT06063720 | Completed

• 1 other identifier: AIeffectiveV3
• Study Type: observational
• Target: 193
• Locations: 1 country
• Sites: 1

Brief Summary

This study prospectively evaluated the role of EWT versus SWT on adenoma detection rate (ADR) and other key quality metrics. In this prospective single-center study, patients undergoing colonoscopy were enrolled. EWT was calculated in real-time using an AI system with endoscopists blinded to the results. We performed multivariable analyses to assess the association of EWT and SWT with binary (e.g., ADR) and count outcomes (e.g., adenoma per colonoscopy \[APC\]), after adjusting for patient and procedural characteristics.

Conditions

Colonic Polyp; Colon Adenoma; Artificial Intelligence

Keywords

Colonic Polyp; Artificial intelligence; Withdrawal time

Outcome Measures

Primary Outcomes (1)

• Adenoma detection rates

  Adenoma detection rates

  During the colonoscopy

Secondary Outcomes (7)

• Polyp detection rate

  During that colonoscopy

• Serrated lesion detection rate

  During colonoscopy

• Advanced adenoma detection rate

  During colonoscopy

• Adenoma per colonoscopy

  During colonoscopy

• Polyp per colonoscopy

  During colonoscopy

Study Arms (1)

AI group

AI monitoring of effective withdrawal time

Device: Endoscreen QC

Interventions

Endoscreen QC DEVICE

Artificial intelligence monitoring of effective withdrawal time

AI group

Eligibility Criteria

• Age: 40 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All patient will be recruited in Queen Mary Hospital, Hong Kong, China

You may not qualify if:

• history of inflammatory bowel disease
• history of colorectal cancer
• previous bowel resection (apart from appendectomy)
• Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
• bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe.
• Cecum could not be intubated for various reasons
• Poor bowel preparation with Boston Bowel Preparation Scale (BBPS) \< 6

Sponsors & Collaborators

• The University of Hong Kong: lead

Study Sites (1)

Queen Mary Hospital, the University of Hong Kong

Hong Kong, Hong Kong

Location

MeSH Terms

Conditions

Colonic Polyps

Condition Hierarchy (Ancestors)

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

Study Officials

• Ka Luen Thomas Lui

  The University of Hong Kong

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Associate Professor

Study Record Dates

• First Submitted: September 20, 2023
• First Posted: October 2, 2023
• Study Start: November 1, 2023
• Primary Completion: September 30, 2024
• Study Completion: January 31, 2025
• Last Updated: September 10, 2025

Record last verified: 2025-09

Locations

HK (1)