Status:
UNKNOWN
Does AI-assisted Colonoscopy Improve Adenoma Detection in Screening Colonoscopy?
Lead Sponsor:
Chinese University of Hong Kong
Conditions:
Screening Colonoscopy
Eligibility:
All Genders
45-75 years
Phase:
NA
Brief Summary
To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or...
Detailed Description
There are several studies showing that AI-assisted colonoscopy can help in identifying and characterizing polyps found on colonoscopy. * Byrne et al demonstrated that their AI model for real-time ass...
Eligibility Criteria
Inclusion
- Inclusion Criteria
- Patients receiving colonoscopy screening
- Patients aged 45-75 years
- Both patients who have or have not done a FIT test and both FIT +ve and FIT -ve subjects
- Exclusion Criteria
- Patients who have symptom(s) suggestive of colorectal diseases
- Patients who have a history of inflammatory bowel disease, colorectal cancer or polyposis syndrome (anaemia, bloody stool, tenesmus and obstructive symptoms)
- Patients who had colonoscopy or other investigation of colon and rectum in the past 10 years
- Patients who had surgery for colorectal diseases
- Patients who cannot tolerate bowel preparation or have suboptimal bowel preparations (Boston Bowel Preparation Scale)
- Cannot reach caecum
- Patients who are incompetent in giving informed consent
Exclusion
Key Trial Info
Start Date :
November 28 2019
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
November 27 2020
Estimated Enrollment :
2994 Patients enrolled
Trial Details
Trial ID
NCT04422548
Start Date
November 28 2019
End Date
November 27 2020
Last Update
July 16 2020
Active Locations (1)
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1
Prince of Wales Hospital
Hong Kong, Hong Kong