NCT06160466

Brief Summary

The goal of this clinical trial is to evaluate the diagnostic yield of CADe in a consecutive population undergoing colonoscopy. The main question it aims to answer is the Adenoma Detection Rate (ADR). Participants undergoing colonoscopy for follow-up in a screening setting will be randomized in a 1:1 ratio to either receive Computer-Aided Detection (CADe) colonoscopy or a conventional colonoscopy (CC). GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.Researchers will compare the CADe group and the CC-group to see if CAD-e can increase the ADR significantly.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,156

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Dec 2020

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 16, 2020

Completed
3 years until next milestone

First Submitted

Initial submission to the registry

November 29, 2023

Completed
8 days until next milestone

First Posted

Study publicly available on registry

December 7, 2023

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2024

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2024

Completed
Last Updated

February 18, 2026

Status Verified

February 1, 2024

Enrollment Period

3.2 years

First QC Date

November 29, 2023

Last Update Submit

February 16, 2026

Conditions

Keywords

ADRCADeFollow-up

Outcome Measures

Primary Outcomes (2)

  • Adenoma detection rate

    Proportion of patients with at least one histologically confirmed adenoma resected divided by the total number of colonoscopies.

    When available the histological report of polyps removed (up to 3 weeks).

  • Rate of patients detected with 3 or more adenomas.

    The percentage of patients with 3 or more adenomas (serrated adenomas will also be considered in the calculation) in CADe colonoscopy group will be compared with the rate of patients with 3 or more adenomas (including serrated adenomas) in standard colonoscopy group.

    When available the histological report of polyps removed (up to 3 weeks).

Secondary Outcomes (8)

  • Overall adenoma and polyp detection rate, flat adenoma and serrated polyps/adenomas.

    When available the histological report of polyps removed (up to 3 weeks).

  • Size of lesions detected

    Immediately after the procedure.

  • Rate of neoplasia by colonic site

    Immediately after the procedure.

  • Post-colonoscopy surveilance

    When available the histological report of polyps removed (up to 3 weeks).

  • Time of cecal intubation.

    Immediately after the procedure.

  • +3 more secondary outcomes

Study Arms (2)

Artificial intelligence arm Patients undergoing colonoscopy with artificial intelligence.

EXPERIMENTAL

Patients undergoing colonoscopy with artificial intelligence.

Device: CADe colonoscopy using GI Genius device

Conventional Colonoscopy

ACTIVE COMPARATOR

Standard Colonoscopy with white light

Device: White light

Interventions

White light endoscopy

Conventional Colonoscopy

We wanted to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC) in a follow-up pateints in the screening population.

Artificial intelligence arm Patients undergoing colonoscopy with artificial intelligence.

Eligibility Criteria

Age50 Years - 74 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients aged 50 to 74 undergoing colonoscopy examination following a prior colonsocopy were polyps were found (follow-up) performed in the context of a regional mass-screening program.

You may not qualify if:

  • Patients unwilling or unable to give informed consent.
  • Patients reporting use of anti-platelet agents or anticoagulants precluding removal of polyps.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fondazione Poliambulanza

Brescia, Bs, 25124, Italy

Location

MeSH Terms

Conditions

AdenomaColonic Polyps

Condition Hierarchy (Ancestors)

Neoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsIntestinal PolypsPolypsPathological Conditions, AnatomicalPathological Conditions, Signs and Symptoms

Study Officials

  • Cristiano Spada

    Fondazione Poliambulanza

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 29, 2023

First Posted

December 7, 2023

Study Start

December 16, 2020

Primary Completion

March 1, 2024

Study Completion

May 1, 2024

Last Updated

February 18, 2026

Record last verified: 2024-02

Data Sharing

IPD Sharing
Will not share

Locations