AI Colorectal Polyp Detection

NCT ID: NCT04979962

Last Updated: 2023-09-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

1162 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-11-24

Study Completion Date

2022-11-21

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

This study is intended to demonstrate the superiority of colorectal polyp detection using computer-assisted colonoscopy compared to conventional colonoscopy.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Polyp Colorectal Adenoma Colon

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Participants
Patients will be randomized 1:1, inspection with computer assisted colonoscopy: inspection with conventional colonoscopy.

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

CAC Group

Inspection with computer assisted colonoscopy.

Group Type EXPERIMENTAL

EW10-EC02 (Endoscopy Support Program)

Intervention Type DEVICE

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.

CC Group

Inspection with conventional colonoscopy

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

EW10-EC02 (Endoscopy Support Program)

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.

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 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

Exclusion Criteria

* 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
Minimum Eligible Age

45 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Fujifilm Medical Systems USA, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Prateek Sharma, MD

Role: PRINCIPAL_INVESTIGATOR

Kansas City VA Medical Center

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Keck Medicine University of Southern California

Los Angeles, California, United States

Site Status

Largo Medical Center (HCA)

Largo, Florida, United States

Site Status

Brigham and Women's Hospital

Chestnut Hill, Massachusetts, United States

Site Status

GI Associates

Flowood, Mississippi, United States

Site Status

Saint Luke's Hospital of Kansas City

Kansas City, Missouri, United States

Site Status

Kansas City VA Medical Center

Kansas City, Missouri, United States

Site Status

New York University/Manhattan Endoscopy

New York, New York, United States

Site Status

Columbia University Medical Center

New York, New York, United States

Site Status

Virginia Mason Medical Center

Seattle, Washington, United States

Site Status

Swedish Medical Center

Seattle, Washington, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type DERIVED
PMID: 38235741 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

P-21-006

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Real Life AI in Polyp Detection
NCT04335318 COMPLETED NA