Implementation of Optical Diagnosis of Diminutive Colorectal Polyps: DISCARD3 Study (Incorporating AI-DETECT)
Implementation of Optical Diagnosis of Diminutive Colorectal Polyps in Real Life Clinical Practice: DISCARD3 Study (Incorporating AI-DETECT)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Harrow, United Kingdom
- St Mark's Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
Patients aged 60-74
- with +ve Faecal Occult Blood/Faecal Immunochemical test attending for screening colonoscopy within BCSP (Bowel Cancer Screening Programme)
- with an established history of adenomas attending for surveillance colonoscopy within BCSP
- Patients aged 55 - referred for screening colonoscopy following positive Bowel Scope Screening flexible sigmoidoscopy
Exclusion Criteria:
- Patients with a risk profile (due to family history or other) whose follow-up will be outside standard BCSP
- Patients with inflammatory bowel disease
- Unable to consent
- Pregnancy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: CAD polyp-detection system
In this arm, a CAD polyp detection system will be used during the colonoscopy.
|
Software will be used during the procedure to aid the detection of polyps during the procedure.
|
|
No Intervention: Standard (no CAD polyp-detection system)
In this arm, a CAD polyp detection system will not be used during the colonoscopy.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Learning curve to achieve accurate optical diagnosis
Time Frame: Through study completion, approximately 18-24 months
|
The investigators will assess endoscopist learning curve by calculating percentage of accurate optical diagnoses of diminutive polyps (when compared with histopathology) for all endoscopists over the course of the study.
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Through study completion, approximately 18-24 months
|
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Proportion of cases where optical diagnosis derived surveillance intervals concur with histopathology derived surveillance intervals
Time Frame: 2 weeks for each participant
|
For each participant, the surveillance interval according to international guidelines (UK, US, European) will be determined based on optical diagnoses alone and then separately based on histopathology results alone.
The proportion of cases where both optical diagnosis derived and histopathology derived surveillance intervals agree will be calculated.
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2 weeks for each participant
|
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Polyp detection rate (AI-DETECT)
Time Frame: 2 weeks for each participant
|
The investigators will assess the impact on polyp detection rate when using a CAD polyp-detection system.
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2 weeks for each participant
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity of optical diagnosis
Time Frame: 2 weeks for each participant
|
The sensitivity of optical diagnosis will be assessed for polyps identified during the course of the study.
|
2 weeks for each participant
|
|
Specificity of optical diagnosis
Time Frame: 2 weeks for each participant
|
The specificity of optical diagnosis will be assessed for polyps identified during the course of the study.
|
2 weeks for each participant
|
|
Adenoma detection rate (AI-DETECT)
Time Frame: 2 weeks for each participant
|
The investigators will assess the impact on adenoma detection rate when using a CAD polyp-detection system.
|
2 weeks for each participant
|
|
Serrated polyp detection rate (AI-DETECT)
Time Frame: 2 weeks for each participant
|
The investigators will assess the impact on serrated polyp detection rate when using a CAD polyp-detection system.
|
2 weeks for each participant
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 245862
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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