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Prospective, Open Label, Pivotal Study of the Accuracy of the CapsoCam® Colon (CV-3) in Detecting Colonic Polyps, Using Colonoscopy as the Reference
Note: This is the same study protocol as NCT04607746 with slight changes to how the videos will be read and a 2nd generation capsule is being studied. The purpose of this study is to evaluate the safety and effectiveness of CapsoCam® Colon (CV-3) endoscope system for the detection of colonic polyps and to show that AI-based CADe improves the polyp-detection accuracy and efficiency of capsule video readers. It will use colonoscopy results as a reference. The participant will: 1. prep for and swallow a study capsule and then 2. prep for and undergo a colonoscopy either the following day or 3-6 weeks later
Age
45 - 75 years
Sex
ALL
Healthy Volunteers
No
SB Gastro Clinical Research
Chula Vista, California, United States
Gastro Care Institute
Lancaster, California, United States
Knowledge Research Center
Orange, California, United States
Advanced Research Institute
St. Petersburg, Florida, United States
Digestive Health Services
Downers Grove, Illinois, United States
Gastroenterology and Internal Medicine Specialists
Lake Barrington, Illinois, United States
Northshore Center for Gastroenterology
Libertyville, Illinois, United States
Suburban Gastroenterology
Naperville, Illinois, United States
Southwest Gastroenterology
Oak Lawn, Illinois, United States
Gastroenterology Group of Rochester
Rochester, New York, United States
Start Date
June 26, 2025
Primary Completion Date
January 1, 2026
Completion Date
January 1, 2026
Last Updated
July 28, 2025
330
ESTIMATED participants
Capsule swallow
DEVICE
Rebecca Petersen Sr. Director of Clinical Affairs
CONTACT
510-566-8824rebecca.petersen@capsovision.comLead Sponsor
Capso Vision, Inc.
NCT02196649
NCT02198729
NCT05012527
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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