Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Medtronic-GI genius (CADe system for detecting colorectal polyps).
- Who it may be relevant to
- Registry conditions: Artificial Intelligence. Basic parameters: 45 years — 89 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Canada
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions. The main hypothesis of this study is that the ADR in the operating room equipped with the GI genius CADe system will be significantly higher than the ADR in the ordinary operating room.
Detailed description
This trial will be conducted in four centers across Canada. All patients who meet the in/exclusion criteria can be enrolled. The patient's personal medical history will be reviewed to verify patient inclusion and exclusion criteria (age, history of CRC or adenoma, comorbid conditions, anticoagulation, etc.).
Eligible patients will be randomized (1:1) stratified per center, endoscopist, sex, and age group in two arms:
1. Intervention arm: patients will be assigned to undergo colonoscopy in a room equipped with the GI genius CADe system. 2. Control arm: patients will undergo colonoscopy in a room not equipped with the GI genius CADe system.
The endoscopists performing the colonoscopies will not be involved in the development and implementation of CADe. Additionally, they won't be informed of the ongoing trial and will have the option of not using the CADe when available in the room. This design aims to mitigate operator biases that may be partly responsible for the observed difference between the CADe performance in randomized controlled trials and the CADe performance in implementation studies.
Data will be collected on case report forms (CRF), after the procedure, from the clinical files and the endoscopy reports. The data will then be deidentified and transferred to an electronic RedCap database in each institution. A research assistant will collect all information and annotations recorded on the patient's medical file during the procedure.
In the treatment group (operating room equipped with the CADe), the Medtronic-GI genius system can be used for real-time support by the endoscopists to detect polyps of all sizes. Use of CADe is left to the discretion of the treating physician performing the colonoscopy. If used, CADe will provide real-time feedback throughout each colonoscopy procedure and will alert the endoscopists of the presence of a polyp in the endoscopy field by displaying a bounding box on the same screen.
In the control group (colonoscopy performed in room without CADe system), the participating endoscopists will detect as per standard of care.
All colonoscopies (in the intervention and control groups) including polypectomy procedures will be performed at the discretion of the treating physician and per standard of care.
All polyps will be resected as per standard of care and sent to the pathology labs of the participating institutions to be evaluated for histology by board-certified pathologists. The histopathology outcomes will be collected and stored in the CRF forms to be used as a reference later.
Interventions
- Device Medtronic-GI genius (CADe system for detecting colorectal polyps)
Medtronic-GI genius: AI will provide real-time feedback throughout each colonoscopy procedure and alert endoscopists to the presence of a polyp in the endoscopy field by displaying a bounding box on the same screen.
Primary outcome measures
- ADR [Time frame: 30 days]
Secondary outcome measures (7)
- Mean number of adenomas per colonoscopy (APC) [Time frame: 30 days]
- Sessile serrated lesions (SSL) detection rate [Time frame: 30 days]
- Sessile serrated lesion per Colonoscopy (SSLPC) [Time frame: 30 days]
- Advanced lesion detection rate (ALDR) [Time frame: 30 days]
- Proximal ADR [Time frame: 30 days]
- Proportion neoplastic and non-neoplastic polyps [Time frame: 30 days]
- CADe utilization rate [Time frame: Through study completion, an average of 3 years]
Eligibility criteria
Inclusion criteria
- indication of undergoing a screening, surveillance, or diagnostic colonoscopy
- Age 45-89 years
Exclusion criteria
- Patients undergoing emergency colonoscopy
- Patients with a known familial polyposis syndrome or a known inflammatory bowel disease
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Triple blind
- Primary purpose
- Diagnostic
Study locations
Canada · 1 center
- Centre Hospitalier Universitaire de Montréal — Montreal
Identifiers
NCT: NCT05244278 · 2022-10312, 21.297