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Impact of Automatic Polyp Detection System on Adenoma Detection Rate

NCT03967756 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1118

Last updated 2021-04-06

No results posted yet for this study

Summary

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Conditions

  • Colonic Polyps
  • Colorectal Adenomas

Interventions

DEVICE

Automatic polyp detection system

When colonoscopists withdraw the colonoscopies and inspect the colons, the video streaming of colonoscopies was real-time switched to the automatic polyp detection system, which made it feasible to detect lesions in real time. When any potential polyp is detected by the system， there will be a tracing box on an adjacent monitor to locate the lesion with a simultaneous sound alarm.

Sponsors & Collaborators

  • The First Affiliated Hospital of Dalian Medical University

    collaborator OTHER

  • Wenzhou Central Hospital

    collaborator OTHER

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    collaborator OTHER

  • Changhai Hospital

    lead OTHER

Principal Investigators

  • Zhaoshen Li, M.D · Changhai Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
40 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-06-01
Primary Completion
2021-07-20
Completion
2021-10-01

Countries

  • China

Study Locations

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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 NCT03967756 on ClinicalTrials.gov