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Artificial Intelligence (AI) Assisted Real-time Adenoma Detection During Colonoscopies

Primary Purpose

Artificial Intelligence

Status
Not yet recruiting
Phase
Not Applicable
Locations
Canada
Study Type
Interventional
Intervention
Detection and classification of polyps by Artificial Intelligence Medtronic-GI genius
Sponsored by
Centre hospitalier de l'Université de Montréal (CHUM)
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Artificial Intelligence focused on measuring Polyp detection, Adenoma detection

Eligibility Criteria

45 Years - 89 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • indication of undergoing a screening, surveillance, or diagnostic colonoscopy Age 45-80 years Signed informed consent

Exclusion Criteria:

  • Known inflammatory bowel disease (IBD) Poor general health, defined as an American Society of Anesthesiologists (ASA) physical status class >3 Coagulopathy defined as an elevated INR (International Normalized Ratio) ≥2.5 or platelet count <50,000/mm3 Familial polyposis syndrome Emergency colonoscopies Poor bowel preparation score defined as the total Boston bowel preparation score <6 and the right-segment score <2.

Sites / Locations

  • Centre Hospitalier Universitaire de Montréal

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

No Intervention

Arm Label

Artificial intelligence Medtronic-GI genius for real-time detection

Real time polyp detection using a standard colonoscopy without Medtronic-GI genius

Arm Description

A standard colonoscopy will be performed according to the standard of routine care. The AI system will capture video of the procedure in real time, and provide additional information on the detection of polyps and classification. All optically diagnosed polyps will be removed and sent to the hospital pathology laboratory for histopathological evaluation according to institutional standards.

In the control group (standard colonoscopy), the participating endoscopists will detect and classify colorectal lesions without using any AI modules. All diagnosed polyps will be removed and sent to the hospital pathology laboratory for histopathological evaluation according to institutional standards.

Outcomes

Primary Outcome Measures

Detection rate of colorectal adenomas when using the GI genius platform
To assess whether the GI genius platform can significantly increase the ADR during live colonoscopies, compared to standard colonoscopy among high-risk patients.The ADR is defined as the proportion of patients undergoing GI genius-assisted/standard colonoscopy in whom superior or equal to 1 histopathologically proven adenoma or carcinoma is identified. We will use the histopathology outcomes of the resected polyps as the ground truth to calculate the ADR.

Secondary Outcome Measures

Non-detection rate by the GI genius system
The probability of an increase in the ADR among the trainees and expert endoscopists when using GI genius AI-assisted colonoscopy compared to standard colonoscopies.
Proximal ADR
Proximal ADR is defined as the prevalence of patients with at least 1 adenoma detected proximal to the splenic flexure
Sessile serrated lesions (SSL) detection rate
Sessile serrated lesions (SSL) detection rate as the proportion of patients colonoscopy in whom superior or equal to 1 sessile serrated lesion (SSL) is identified
Mean number of adenomas per colonoscopy (APC)
Mean number of adenomas per colonoscopy (APC) defined as the total number of adenomas divided by the number of colonoscopies performed
Adenomas per positive index colonoscopy (APPC)
Adenomas per positive index colonoscopy (APPC) defined as the total number of adenomas divided by the total of colonoscopies where at least 1 adenoma is detected
Sessile serrated lesion per Colonoscopy (SSLPC)
Sessile serrated lesion per Colonoscopy (SSLPC), defined as the total number of histologically confirmed sessile serrated lesions resected divided by the total number of colonoscopies
Advanced lesion detection rate (ALDR)
Advanced lesion detection rate (ALDR), defined as the proportion of colonoscopies for which the number of histopathologically proven adenoma >10mm was at least 1.
Agreement between the surveillance intervals
To evaluate the agreement between the surveillance intervals based on the optical diagnosis of polyps with the GI genius and the pathology-based recommendation according to the current guidelines.
Proportion neoplastic and non-neoplastic polyps
Proportion neoplastic and non-neoplastic polyps (i.e., SSLs, hyperplastic polyps, and high-grade dysplasia and carcinomas (overall and according to size, location, and morphology)
CADe utilization rate
CADe utilization rate (when available in the room). Since we can't directly assess the CADe utilization rate without revealing the ongoing trial to the endoscopists, we will rely on two voluntary self-reported measures and a partial objective measure.

Full Information

First Posted
February 8, 2022
Last Updated
June 28, 2023
Sponsor
Centre hospitalier de l'Université de Montréal (CHUM)
Collaborators
McGill University, University of British Columbia, Université de Sherbrooke, University of Alberta
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1. Study Identification

Unique Protocol Identification Number
NCT05244278
Brief Title
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection During Colonoscopies
Official Title
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection During Colonoscopies
Study Type
Interventional

2. Study Status

Record Verification Date
June 2023
Overall Recruitment Status
Not yet recruiting
Study Start Date
August 1, 2023 (Anticipated)
Primary Completion Date
August 1, 2024 (Anticipated)
Study Completion Date
January 1, 2025 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Centre hospitalier de l'Université de Montréal (CHUM)
Collaborators
McGill University, University of British Columbia, Université de Sherbrooke, University of Alberta

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
This is a pragmatic, double-blind, randomized, controlled trial, to assess whether the implementation of CADe (GI genius) significantly affects the ADR in screening and surveillance population. 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 five 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 in two arms: Intervention arm: patients will be assigned to undergo colonoscopy in a room equipped with the GI genius CAD system. Control arm: patients will undergo colonoscopy in a room not equipped with the GI genius CADe system. Allocation will be concealed and study participation not know to the endoscopist performing the procedure. This study will be a pragmatic double-blinded: the patients and the endoscopist will be blinded to the allocated group. 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 (GI genius CADe assisted colonoscopy), the Medtronic-GI genius system provides real-time support to endoscopists to detect polyps of any range of sizes. 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 (standard colonoscopy), the participating endoscopists will detect and classify colorectal lesions without using any AI modules. The classification of the polyps will also be based on the NICE and SANO classification systems as performed in the treatment group. After detecting a polyp and performing optical diagnosis for all 1-10 mm polyps, the endoscopists will remove all polyps using standard technique\s. 1-2 mm polyps can be removed using a standard biopsy forceps or polypectomy snares, and polyps 3-10 mm with a standard polypectomy snare (preferably cold snares for all small polypus), 10-20 mm polyps are removed using a polypectomy snare (cold or hot upon endoscopist's decision), and >20 mm polyps using EMR or ESD. All polyps will be resected 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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Artificial Intelligence
Keywords
Polyp detection, Adenoma detection

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
pragmatic double-blinded, randomized, multi-endoscopist, multicenter
Masking
ParticipantCare Provider
Masking Description
Allocation will be concealed; the participating endoscopists and the patients will not be informed of the treatment group.
Allocation
Randomized
Enrollment
744 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Artificial intelligence Medtronic-GI genius for real-time detection
Arm Type
Experimental
Arm Description
A standard colonoscopy will be performed according to the standard of routine care. The AI system will capture video of the procedure in real time, and provide additional information on the detection of polyps and classification. All optically diagnosed polyps will be removed and sent to the hospital pathology laboratory for histopathological evaluation according to institutional standards.
Arm Title
Real time polyp detection using a standard colonoscopy without Medtronic-GI genius
Arm Type
No Intervention
Arm Description
In the control group (standard colonoscopy), the participating endoscopists will detect and classify colorectal lesions without using any AI modules. All diagnosed polyps will be removed and sent to the hospital pathology laboratory for histopathological evaluation according to institutional standards.
Intervention Type
Diagnostic Test
Intervention Name(s)
Detection and classification of polyps by Artificial Intelligence Medtronic-GI genius
Intervention Description
The GI-Genius system could reach a sensitivity of 99.7%, a false-positive rate <1%, and performed real-time analysis 82% faster than the endoscopist. The use of this system resulted in a significant increase in ADR compared with the conventional colonoscopy (54.8% vs. 40.4%) in a screening cohort. 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. Then, endoscopists will first perform optical diagnosis without the aid of the AI using the validated NBI (narrow band imaging) International Colorectal Endoscopic (NICE) and Sano classification systems to distinguish non-neoplastic from neoplastic polyps and express confidence in the prediction of histology during optical diagnosis.
Primary Outcome Measure Information:
Title
Detection rate of colorectal adenomas when using the GI genius platform
Description
To assess whether the GI genius platform can significantly increase the ADR during live colonoscopies, compared to standard colonoscopy among high-risk patients.The ADR is defined as the proportion of patients undergoing GI genius-assisted/standard colonoscopy in whom superior or equal to 1 histopathologically proven adenoma or carcinoma is identified. We will use the histopathology outcomes of the resected polyps as the ground truth to calculate the ADR.
Time Frame
30 days
Secondary Outcome Measure Information:
Title
Non-detection rate by the GI genius system
Description
The probability of an increase in the ADR among the trainees and expert endoscopists when using GI genius AI-assisted colonoscopy compared to standard colonoscopies.
Time Frame
30 days
Title
Proximal ADR
Description
Proximal ADR is defined as the prevalence of patients with at least 1 adenoma detected proximal to the splenic flexure
Time Frame
30 days
Title
Sessile serrated lesions (SSL) detection rate
Description
Sessile serrated lesions (SSL) detection rate as the proportion of patients colonoscopy in whom superior or equal to 1 sessile serrated lesion (SSL) is identified
Time Frame
30 days
Title
Mean number of adenomas per colonoscopy (APC)
Description
Mean number of adenomas per colonoscopy (APC) defined as the total number of adenomas divided by the number of colonoscopies performed
Time Frame
30 days
Title
Adenomas per positive index colonoscopy (APPC)
Description
Adenomas per positive index colonoscopy (APPC) defined as the total number of adenomas divided by the total of colonoscopies where at least 1 adenoma is detected
Time Frame
30 days
Title
Sessile serrated lesion per Colonoscopy (SSLPC)
Description
Sessile serrated lesion per Colonoscopy (SSLPC), defined as the total number of histologically confirmed sessile serrated lesions resected divided by the total number of colonoscopies
Time Frame
30 days
Title
Advanced lesion detection rate (ALDR)
Description
Advanced lesion detection rate (ALDR), defined as the proportion of colonoscopies for which the number of histopathologically proven adenoma >10mm was at least 1.
Time Frame
30 days
Title
Agreement between the surveillance intervals
Description
To evaluate the agreement between the surveillance intervals based on the optical diagnosis of polyps with the GI genius and the pathology-based recommendation according to the current guidelines.
Time Frame
30 days
Title
Proportion neoplastic and non-neoplastic polyps
Description
Proportion neoplastic and non-neoplastic polyps (i.e., SSLs, hyperplastic polyps, and high-grade dysplasia and carcinomas (overall and according to size, location, and morphology)
Time Frame
30 days
Title
CADe utilization rate
Description
CADe utilization rate (when available in the room). Since we can't directly assess the CADe utilization rate without revealing the ongoing trial to the endoscopists, we will rely on two voluntary self-reported measures and a partial objective measure.
Time Frame
30 days

10. Eligibility

Sex
All
Minimum Age & Unit of Time
45 Years
Maximum Age & Unit of Time
89 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: indication of undergoing a screening, surveillance, or diagnostic colonoscopy Age 45-89 years Exclusion Criteria: Patients undergoing emergency colonoscopy and patients with a known familial polyposis syndrome or a known inflammatory bowel disease
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Daniel von Renteln
Organizational Affiliation
Centre hospitalier de l'Université de Montréal (CHUM)
Official's Role
Principal Investigator
Facility Information:
Facility Name
Centre Hospitalier Universitaire de Montréal
City
Montréal
State/Province
Quebec
Country
Canada

12. IPD Sharing Statement

Plan to Share IPD
No

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Artificial Intelligence (AI) Assisted Real-time Adenoma Detection During Colonoscopies

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