AI Colorectal Polyp Detection
Colorectal Polyp Detection Comparing Computer Assisted Colonoscopy With Conventional Colonoscopy
1 other identifier
interventional
1,162
1 country
10
Brief Summary
This study is intended to demonstrate the superiority of colorectal polyp detection using computer-assisted colonoscopy compared to conventional colonoscopy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Nov 2021
10 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 19, 2021
CompletedFirst Posted
Study publicly available on registry
July 28, 2021
CompletedStudy Start
First participant enrolled
November 24, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
November 21, 2022
CompletedSeptember 18, 2023
September 1, 2023
10 months
July 19, 2021
September 15, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Adenoma per colonoscopy (APC)
Total number of histologically confirmed adenomas and carcinomas detected in the colonoscopy divided by the total number of colonoscopies
1 day/procedure
Secondary Outcomes (2)
Positive predictive value (PPV)
1 day/procedure
Adenoma detection rate (ADR)
1 day/procedure
Study Arms (2)
CAC Group
EXPERIMENTALInspection with computer assisted colonoscopy.
CC Group
NO INTERVENTIONInspection with conventional colonoscopy
Interventions
EW10-EC02 is intended to automatically detect the location of suspected polyps in colonoscopy exams. Identified polyps are highlighted to the clinician in real-time during the exam, as a video image superimposed on the endoscope monitor. EW10-EC02 is limited to the detection of suspected findings, and should not be used in lieu of full patient evaluation or relied upon to make or confirm a diagnosis.
Eligibility Criteria
You may qualify if:
- Average risk subjects undergoing their first colonoscopy (screening) or follow-up colonoscopy for previous history of polyps (surveillance interval of 3 years or greater)
- Patients aged 45 or older
- Patients who can provide an informed consent
You may not qualify if:
- Patients with history of colon resection, Inflammatory Bowel Disease (IBD), Familial Adenomatous Polyposis (FAP), severe comorbidity, including end-stage cardiovascular/pulmonary/liver/renal disease
- Patients who are pregnant or are planning pregnancy during study period
- Patients who are not able to or refuse to give informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (10)
Keck Medicine University of Southern California
Los Angeles, California, 90033, United States
Largo Medical Center (HCA)
Largo, Florida, 33770, United States
Brigham and Women's Hospital
Chestnut Hill, Massachusetts, 02467, United States
GI Associates
Flowood, Mississippi, 39232, United States
Saint Luke's Hospital of Kansas City
Kansas City, Missouri, 64111, United States
Kansas City VA Medical Center
Kansas City, Missouri, 64128, United States
New York University/Manhattan Endoscopy
New York, New York, 10016, United States
Columbia University Medical Center
New York, New York, 10032, United States
Virginia Mason Medical Center
Seattle, Washington, 98101, United States
Swedish Medical Center
Seattle, Washington, 98104, United States
Related Publications (1)
Desai M, Ausk K, Brannan D, Chhabra R, Chan W, Chiorean M, Gross SA, Girotra M, Haber G, Hogan RB, Jacob B, Jonnalagadda S, Iles-Shih L, Kumar N, Law J, Lee L, Lin O, Mizrahi M, Pacheco P, Parasa S, Phan J, Reeves V, Sethi A, Snell D, Underwood J, Venu N, Visrodia K, Wong A, Winn J, Wright CH, Sharma P. Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial. Am J Gastroenterol. 2024 Jul 1;119(7):1383-1391. doi: 10.14309/ajg.0000000000002664. Epub 2024 Jan 18.
PMID: 38235741DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Prateek Sharma, MD
Kansas City VA Medical Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Patients will be randomized 1:1, inspection with computer assisted colonoscopy: inspection with conventional colonoscopy.
- Purpose
- DIAGNOSTIC
- Intervention Model
- CROSSOVER
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 19, 2021
First Posted
July 28, 2021
Study Start
November 24, 2021
Primary Completion
September 30, 2022
Study Completion
November 21, 2022
Last Updated
September 18, 2023
Record last verified: 2023-09