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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05870332
Other study ID # 292323
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date October 16, 2023
Est. completion date May 31, 2025

Study information

Verified date March 2024
Source King's College Hospital NHS Trust
Contact Prof Bu'Hussain B Hayee, PHD FRCP
Phone 02032996044
Email b.hayee@nhs.net
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The goal of this trial is to determine whether use of a Computer Assisted Detection (CADe) programme leads to an increase in ADR for either units or individual colonoscopists, independent of setting or expertise


Description:

This is a case-control study comparing adenoma detection rate (ADR) in hospitals (and individual colonoscopists), before, during and after use with an artificial intelligence unit called GI Geniusā„¢ (GIG). GIG is a Computer-assisted detection (CADe) module that assists the human colonoscopist in real-time, by detecting and marking out polyps during colonoscopy. It has been shown to be effective in expert colonoscopists, but the effect in non-expert, general, colonoscopists is not known. The investigator wish to deploy GIG into colonoscopy through the UK using a step-wedge design. Sites will be randomly allocated a start date for GIG deployment, collecting data for four months prior to this. In this way, all sites will have the active intervention and will provide their own case-control data. (4 months collection prior to activating GIG, 4 months with GIG, 4 months afterwards without GIG) The study will concentrate on non-expert colonoscopists, to determine whether GIG can increase ADR. Patients will undergo the same colonoscopy that they would have had in any case, with no additional trial visits or interventions. There will be no alteration to the usual care pathway from the patient's perspective. If the investigator can prove GIG increases ADR in this way, it will provide support to roll out this technology routinely to improve the quality of colonoscopy nationwide.


Recruitment information / eligibility

Status Recruiting
Enrollment 4000
Est. completion date May 31, 2025
Est. primary completion date January 1, 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 85 Years
Eligibility Inclusion Criteria: - Any patient aged 18-85 scheduled for colonoscopy by current NHSE / British Society of Gastroenterology criteria Exclusion Criteria: - Colonoscopy being performed for polyp surveillance - Unable to provide informed, written consent

Study Design


Intervention

Device:
GI Genius (GIG)
GIG is an artificial intelligence unit that assists human colonoscopist in real-time to detect polyps during colonoscopy. Four months collection period prior to activating GIG, then four months with GIG, and Four months afterwards without GIG

Locations

Country Name City State
United Kingdom King's College Hospital NHS Foundation Trust London

Sponsors (3)

Lead Sponsor Collaborator
King's College Hospital NHS Trust Medtronic, National Institute for Health Research, United Kingdom

Country where clinical trial is conducted

United Kingdom, 

Outcome

Type Measure Description Time frame Safety issue
Primary CADe-ADR in real world practice The primary outcome measure will be adenoma detection rate. This will be studied across three phases: prior to use of CADe (baseline practice), while using CADe (study period) and finally after CADe (without the device in situ: "washout" phase). 24 months
Secondary APC Mean adenomas per colonoscopy (APC) 24 months
Secondary Polyp characteristics Polyp size (mm) and location (in colonic segments) 24 months
Secondary Procedure time Total procedure (insertion+withdrawal) and withdrawal time 24 months
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