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Real-time Diagnosis of Diminutive Colorectal Polyps Using AI

NCT05349110 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 105

Last updated 2022-05-05

No results posted yet for this study

Summary

Correct endoscopic prediction of the histopathology and differentiation between benign, pre-malignant, and malignant colorectal polyps (optical diagnosis) remains difficult. Artificial intelligence has great potential in image analysis in gastrointestinal endoscopy. Aim of this study is to investigate the real-time diagnostic performance of AI4CRP for the classification of diminutive colorectal polyps, and to compare it with the real-time diagnostic performance of commercially available CADx systems.

Conditions

  • Colorectal Neoplasms
  • Colorectal Polyp

Interventions

DEVICE

Computer-aided diagnosis (CADx) systems

* AI4CRP (artificial intelligence for colorectal polyps), a CNN based computer-aided diagnosis system for diagnosis of colorectal polyps (COMET-OPTICAL research group); * CAD EYE, a computer-aided diagnosis system for diagnosis of colorectal polyps (Fujifilm® Corporation, Tokyo, Japan).

Sponsors & Collaborators

  • Catharina Ziekenhuis Eindhoven

    collaborator OTHER

  • Eindhoven University of Technology

    collaborator OTHER

  • Maastricht University Medical Center

    lead OTHER

Principal Investigators

  • Erik Schoon, Prof Dr MD · Maastricht Universitair Medisch Centrum

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-08-20
Primary Completion
2022-09-30
Completion
2022-12-31

Countries

  • Netherlands

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 NCT05349110 on ClinicalTrials.gov