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Computer Aided Detection, Tandem Colonoscopy Study

NCT04074577 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 32

Last updated 2021-06-29

No results posted yet for this study

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) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.

Conditions

  • Colonic Diseases

Interventions

DIAGNOSTIC_TEST

Standard technique First

colonoscopy without automated polyp detection software

DIAGNOSTIC_TEST

combination technique First

automated polyp detection software

Sponsors & Collaborators

Principal Investigators

  • Seth Gross, MD · New York Langone Health

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
22 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-09-17
Primary Completion
2020-10-14
Completion
2020-10-14

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04074577 on ClinicalTrials.gov