NCT06216405

Brief Summary

The aim of the study is to assess whether the use of artificial intelligence improves polyp detection in a segment of the colon (the right colon). To achieve this objective, patients will be divided into two groups: one will undergo a standard colonoscopy, the other a colonoscopy with the artificial intelligence software connected to the machine. This software does not modify the colonoscopy technique in any way, and does not require the administration of any product to the patient. The study will compare the detection rate of right colon polyps between the group of patients who underwent standard colonoscopy and those who underwent colonoscopy with artificial intelligence. If this number does not differ between the two groups, the investigators can conclude that there is no point in using artificial intelligence.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
2,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2022

Typical duration 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

January 20, 2022

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 12, 2023

Completed
22 days until next milestone

Study Completion

Last participant's last visit for all outcomes

January 3, 2024

Completed
8 days until next milestone

First Submitted

Initial submission to the registry

January 11, 2024

Completed
11 days until next milestone

First Posted

Study publicly available on registry

January 22, 2024

Completed
Last Updated

January 23, 2024

Status Verified

March 1, 2023

Enrollment Period

1.9 years

First QC Date

January 11, 2024

Last Update Submit

January 22, 2024

Conditions

Keywords

ColonoscopyPolyp detectionArtificial Intelligence

Outcome Measures

Primary Outcomes (1)

  • Comparing the percentage of patients with at least one right colon polyp detected according to the randomization group, and adjusted for Boston Bowel preparation scale, for the operator, for the endoscope and for stratification factors.

    A multiple logistic regression comparing the percentage of patients with at least one right colon polyp detected according to the randomization group, and adjusted for Boston Bowel preparation scale (6-7 vs \>7), for the operator, for the endoscope (Pentax or Fuji) and for stratification factors (age and polyps or CRC history).

    Inclusion visit

Study Arms (2)

AI-aided colonoscopy

EXPERIMENTAL

Experimental arm : patients receive a colonoscopy using GI Genius™ intelligent endoscopy system (Medtronic Inc., Minneapolis, Minnesota, USA)

Procedure: Colonoscopy

Standard colonoscopy

ACTIVE COMPARATOR

Control arm :The artificial intelligence is not activated during the colonoscopy exam,the patient receive a standard high definition colonoscopy

Procedure: Colonoscopy

Interventions

ColonoscopyPROCEDURE

Colonoscopy

AI-aided colonoscopyStandard colonoscopy

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age\>18 years
  • Signed informed consent
  • Affiliated to or beneficiary of a social security scheme

You may not qualify if:

  • Patients with history of inflammatory bowel diseases
  • Patients with history of familial polyposis syndrome
  • Patients with history of right colonic resection.
  • Pregnant or breastfeeding women
  • Patient benefiting from a legal protection measure : tutorship, curatorship, patient deprived of freedom
  • Adults who are unable to give their consent
  • People under psychiatric care who are not able to understand the aim if this research

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Groupe Hospitalier Diaconesses Croix Saint-Simon

Paris, Île-de-France Region, 75020, France

Location

MeSH Terms

Conditions

Colonic NeoplasmsColonic Polyps

Interventions

Colonoscopy

Condition Hierarchy (Ancestors)

Colorectal NeoplasmsIntestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesIntestinal PolypsPolypsPathological Conditions, AnatomicalPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Endoscopy, GastrointestinalEndoscopy, Digestive SystemDiagnostic Techniques, Digestive SystemDiagnostic Techniques and ProceduresDiagnosisEndoscopyDiagnostic Techniques, SurgicalDigestive System Surgical ProceduresSurgical Procedures, OperativeMinimally Invasive Surgical Procedures

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
A single-blind, randomised study. Patient is not informed of the arm he is assigned to.
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Model Details: Patients will be randomized into the two groups: * Experimental : AI-aided colonoscopy using GI Genius™ intelligent endoscopy system (Medtronic Inc., Minneapolis, Minnesota, USA) * Control : Standard high-definition colonoscopy: Randomization will be established according to a 1:1 ratio, balanced and per block of variable size, and stratified according to age (≤50 vs \>50 years-old) and on personal polyps or colorectal cancer history (yes vs no)
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

January 11, 2024

First Posted

January 22, 2024

Study Start

January 20, 2022

Primary Completion

December 12, 2023

Study Completion

January 3, 2024

Last Updated

January 23, 2024

Record last verified: 2023-03

Locations