Performance of Artificial Intelligence in Colonoscopy for Right Colon Polyp Detection
AIRCOP
1 other identifier
interventional
2,000
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2022
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 20, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 12, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
January 3, 2024
CompletedFirst Submitted
Initial submission to the registry
January 11, 2024
CompletedFirst Posted
Study publicly available on registry
January 22, 2024
CompletedJanuary 23, 2024
March 1, 2023
1.9 years
January 11, 2024
January 22, 2024
Conditions
Keywords
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
EXPERIMENTALExperimental arm : patients receive a colonoscopy using GI Genius™ intelligent endoscopy system (Medtronic Inc., Minneapolis, Minnesota, USA)
Standard colonoscopy
ACTIVE COMPARATORControl arm :The artificial intelligence is not activated during the colonoscopy exam,the patient receive a standard high definition colonoscopy
Interventions
Eligibility Criteria
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
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
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
- 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