Computer Aided Diagnosis of Colorectal Polyps
EndoBrain
Real-Time Artificial Intelligence Aided Diagnosis of Colorectal Polyps During Colonoscopy: A Clinical Trial With the EndoBRAIN Technology
1 other identifier
observational
89
1 country
1
Brief Summary
The purpose of this study is to assess whether computer aided technology (CAD) can help in the diagnosis of polyps found the bowel compared with visual inspection alone and therefore whether it is beneficial in helping clinicians to decide whether to remove a polyp or not. Presently, most endoscopists remove all polyps found and send them to the laboratory for testing. The number of colonoscopies is increasing, meaning that more polyps are detected and removed. This comes at a significant cost to the health service and increases the time taken to complete a colonoscopy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 24, 2019
CompletedStudy Start
First participant enrolled
June 1, 2020
CompletedFirst Posted
Study publicly available on registry
August 12, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 5, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
May 5, 2021
CompletedJanuary 31, 2022
January 1, 2022
11 months
September 24, 2019
January 17, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
True positive adenoma detection rate
True positive adenoma detection rate with visual inspection versus true positive adenoma detection rate with visual inspection plus CAD
6 months
Secondary Outcomes (7)
True negative adenoma detection rate
6 months
To estimate the sensitivity, specificity, of visual inspection and the use of the EndoBRAIN CAD technology
6 months
To estimate the positive predictive value [PPV], and NPV of the combination of visual inspection and the use of the EndoBRAIN CAD technology
6 months
To estimate the percentage of diminutive colorectal polyps from which endocytoscopic images can be successfully captured (acquisition rate).
6 months
To estimate the rate of high-confidence diagnosis with EndoBRAIN as compared to visual polyp inspection alone.
6 months
- +2 more secondary outcomes
Study Arms (1)
Treatment Group
All patients will undergo CAD of any diminutive polyps found in the rectosigmoid on colonoscopy
Interventions
Eligibility Criteria
Any patient 18 years or older scheduled for screening, surveillance, diagnostic, or therapeutic colonoscopy at King's College Hospital with diminutive rectosigmoid polyps.
You may qualify if:
- Individuals 18 years or older who are scheduled for screening, surveillance, diagnostic, or therapeutic colonoscopy at at King's College Hospital with diminutive rectosigmoid polyps.
You may not qualify if:
- Diminutive polyps with known histology
- Inflammatory bowel disease
- Polyposis syndrome (e.g., familial adenomatous polyposis, serrated polyposis)
- History of chemotherapy or radiation therapy for colorectal lesions
- Inability to undergo polypectomy (e.g. intake of anticoagulants, comorbidities, or patient refusal)
- Pregnancy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
King's College Hospital
London, SE5 9RS, United Kingdom
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 24, 2019
First Posted
August 12, 2020
Study Start
June 1, 2020
Primary Completion
May 5, 2021
Study Completion
May 5, 2021
Last Updated
January 31, 2022
Record last verified: 2022-01
Data Sharing
- IPD Sharing
- Will not share
The IPD will be kept within the research team.