- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06077435
Comparing CADe Software for Enhanced Polyp Detection
Comparing CADe Software for Enhanced Polyp Detection: A Randomized Controlled Trial
Purpose & Research Questions
The purpose of this study is to evaluate whether artificial intelligence (AI) improves the detection of polyps and whether the system can classify the type and severity of detected changes. The investigators will also assess if there are any differences between the various AI systems and whether the polyps that may be missed are benign or malignant.
Study Overview
Detailed Description
Materials: Selection, Representativeness, and Grouping
The study is a randomized controlled clinical trial conducted at Västra Götaland region. Patients are randomized to receive either AI or conventional endoscopy, and each endoscopy unit has access to at least one AI device. Informed consent is obtained from patients before the examination.
Before the examination, patients are asked if they want to participate in the study. If the patient wishes to participate, informed consent is obtained. The endoscopist then draws a slip from an envelope, determining whether conventional colonoscopy or AI will be used. During conventional colonoscopy, the patient is examined according to routine practice. After the examination, a questionnaire is filled out, recording various findings from the examination. During AI examinations, the AI system is activated only during instrument withdrawal. The system identifies polyps and alerts the endoscopist. Additionally, two of the AI systems (GI-Genius, CADEYE) have the ability to characterize the detected polyps and provide an interpretation of whether the changes are benign or malignant. After the examination, a similar questionnaire is completed as in conventional colonoscopy.
Method: Data Collection
Basic data will be recorded, including the reason for the examination, other illnesses, medications, demographic data such as gender, age, family history of cancer, and the time of the examination (morning or afternoon). During the examination, the following will be recorded: the number of polyps, macroscopic classification of polyps, AI system's characterization of the polyps, bowel cleansing quality, laxative method, medication during the examination, complications occurring during or after the examination. Withdrawal time is recorded, as well as the number of false-positive polyps and supplementation with histological data of polyps after review by the pathologist.
Three different AI systems will be used at the various hospital sites, namely EndoAid (Olympus), CADEYE (Fujinon), and GI-Genius (Medtronic). All units will randomize each examination to either AI or non-AI.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Jonas Varkey, MD, PhD
- Phone Number: 0046764030388
- Email: jonas.varkey@vgregion.se
Study Locations
-
-
Gothenbburg
-
Gothenburg, Gothenbburg, Sweden, 41345
- Recruiting
- Sahlgrenska University Hospital
-
Contact:
- Jonas Varkey, MD, PhD
- Phone Number: 0046764030388
- Email: jonas.varkey@vgregion.se
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age > 50 years
- Elective colonoscopy
Exclusion Criteria:
- Patient declines to participate in the study.
- Age < 50 years
- Emergency examinations
- Contraindications for biopsy/polypectomy
- Unprepared bowel
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Active Comparator: CAD-EYE
AI system 1.
Sealed envelopes in blocks of four were used for randomisation.
|
AI system
|
Active Comparator: GI-GENIUS
AI system 2. Sealed envelopes in blocks of four were used for randomisation
|
AI system
|
Active Comparator: Endo-AID
AI system 3. Sealed envelopes in blocks of four were used for randomisation
|
AI system
|
No Intervention: No AI
No AI.
conventional examination.
Sealed envelopes in blocks of four were used for randomisation
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Comparison of Adenoma Detection Rates (ADR) between colonoscopies assisted by Artificial Intelligence (AI) and conventional colonoscopies without AI
Time Frame: During procedure (up to 40 minutes)
|
The ADR is typically expressed as a percentage and is calculated using the following formula:Number of colonoscopies with adenoma detection/ Total number of colonoscopies ×100. |
During procedure (up to 40 minutes)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To compare the effectiveness of AI systems in characterizing polyps with conventional histology
Time Frame: During procedure (up to 40 minutes)
|
Two of the AI systems include a characterization feature, and this assessment will be compared to conventional histology
|
During procedure (up to 40 minutes)
|
Collaborators and Investigators
Investigators
- Study Director: Per Hedenstrom, MD. Ph D, Sahlgrenska University Hospital, Sweden
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 981840
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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