Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
NA
137 participants
INTERVENTIONAL
2023-07-21
2024-02-23
Brief Summary
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Ultivision AI CADe is indicated for white light colonoscopy only.
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Detailed Description
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The algorithm's primary function is to identify and highlight the likelihood of the presence of a colon polyp.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Ultivision AI colonoscopy (CADe Arm)
Ultivision AI is used to aid in real-time detection of adenomas.
Ultivision AI
Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas) in adult patients undergoing colorectal cancer screening and surveillance examinations.
Standard colonoscopy (Control Arm)
Patients will undergo standard colonoscopy without AI.
Ultivision AI
Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas) in adult patients undergoing colorectal cancer screening and surveillance examinations.
Interventions
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Ultivision AI
Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas) in adult patients undergoing colorectal cancer screening and surveillance examinations.
Eligibility Criteria
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Inclusion Criteria
2. Screening or surveillance colonoscopy.
3. Iinformed consent
Exclusion Criteria
2. Inflammatory bowel disease, including Crohn's disease or ulcerative colitis;
3. Polyposis syndrome including Familial Adenomatous Polyposis, Cowden syndome, Linch syndrome, Peutz-Jeghers syndrome, MUITYH associated polyposis, familial Colorectal Cancer type X;
4. Positive Fecal Immunochemical Test;
5. Use anti-platelet agents or anticoagulants that prevent polyps removal;
6. Colon resection, not including the appendix;
7. Subject is pregnant or lactating.
45 Years
75 Years
ALL
No
Sponsors
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Meditrial USA Inc.
INDUSTRY
Satisfai Health, Inc.
INDUSTRY
Responsible Party
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Locations
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UC Irvine
Irvine, California, United States
University of Kansas Medical Center
Kansas City, Kansas, United States
University of Montreal Research Center (CRCHUM)
Montréal (Québec), Montreal, Canada
Humanitas Research Hospital
Milan, , Italy
Countries
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References
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Urban G, Tripathi P, Alkayali T, Mittal M, Jalali F, Karnes W, Baldi P. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy. Gastroenterology. 2018 Oct;155(4):1069-1078.e8. doi: 10.1053/j.gastro.2018.06.037. Epub 2018 Jun 18.
Related Links
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Satisfai Health
Meditrial Clinical Research Organization
Other Identifiers
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STF-2023-01
Identifier Type: -
Identifier Source: org_study_id
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