Bowel Cancer Clinical Trial
— CESCAILOfficial title:
Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
NCT number | NCT06008847 |
Other study ID # | RA545021 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | February 9, 2022 |
Est. completion date | January 31, 2025 |
Verified date | June 2024 |
Source | University Hospitals Coventry and Warwickshire NHS Trust |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The CESCAIL study tests the use of Artificial Intelligence (AI) on a video taken from a minimally-invasive imaging device, to improve efficiency and accuracy of the detection of polyps, which are little outgrowths within the lining of the bowel.
Status | Recruiting |
Enrollment | 674 |
Est. completion date | January 31, 2025 |
Est. primary completion date | October 30, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Aged 18 or over - Patients who have been selected by overseeing clinician meeting NHS England criteria to undergo colon capsule endoscopy as part of their standard of care Exclusion Criteria: - Patients unable to provide consent to take part in the study |
Country | Name | City | State |
---|---|---|---|
United Kingdom | University Hospitals Coventry and Warwickshire | Coventry |
Lead Sponsor | Collaborator |
---|---|
University Hospitals Coventry and Warwickshire NHS Trust | University of Barcelona |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Sensitivity and specificity of polyp detection in AI enabled CCE reporting | Sensitivity and specificity of polyp detection in AI enabled CCE reporting | 11 months | |
Primary | Time taken to read video by clinicians and AI tool | Time taken to read video by clinicians and AI tool | 11 months |
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