Status:
COMPLETED
Computer Aided Detection, Tandem Colonoscopy Study
Lead Sponsor:
NYU Langone Health
Conditions:
Colonic Diseases
Eligibility:
All Genders
22+ years
Phase:
NA
Brief Summary
The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) a...
Eligibility Criteria
Inclusion
- Patients presenting to the endoscopy unit for a screening colonoscopy or a surveillance colonoscopy
- Willingness to undergo tandem colonscopies with and without the use of computer-aided software while undergoing conventional colonoscopy with sedation
- Ability to provide written, informed consent (approved by IRB) and understand the responsibilities of trial participation
Exclusion
- People with diminished cognitive capacity
- Patients undergoing diagnostic colonoscopy (e.g. as an evaluation for active GI bleed)
- Patients with incomplete colonoscopies (those where endoscopists did not successfully intubate the cecum due to technical difficulties or poor bowel preparation)
- Patients that have standard contraindications to colonoscopy in general (e.g. documented acute diverticulitis, fulminant colitis and known or suspected perforation).
- Patients with inflammatory bowel disease
- Patients referred for endoscopic mucosal resection (EMR)
Key Trial Info
Start Date :
September 17 2020
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
October 14 2020
Estimated Enrollment :
32 Patients enrolled
Trial Details
Trial ID
NCT04074577
Start Date
September 17 2020
End Date
October 14 2020
Last Update
June 29 2021
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
NYU Langone Health
New York, New York, United States, 10016