Computer Aided Diagnosis of Colorectal Neoplasms During Colonoscopic Examination

Overview

An NBI-based diagnosis requires training and experience. We are developing a system of computerized image recognition, which can detect possible NBI features of polyps, and provide a more objective diagnosis, which allows nonexpert endoscopists to achieve a high diagnostic accuracy.

Study Type

  • Study Type: Interventional
  • Study Design
    • Allocation: Randomized
    • Intervention Model: Factorial Assignment
    • Primary Purpose: Diagnostic
    • Masking: Double (Participant, Investigator)
  • Study Primary Completion Date: December 2017

Interventions

  • Diagnostic Test: Computer-aided diagnosis
    • computer-aided diagnosis to assist colonoscopists

Arms, Groups and Cohorts

  • Experimental: Computer-aided diagnosis
  • No Intervention: traditional diagnosis

Clinical Trial Outcome Measures

Primary Measures

  • Sensitivity, Specificity, False Positive, False Negative
    • Time Frame: Duration between endoscopic diagnosis and pathologic diagnosis is about one week
    • Diagnostic accuracy

Participating in This Clinical Trial

Inclusion Criteria

the same as colonoscopy Exclusion Criteria:

the same as colonoscopy

Gender Eligibility: All

Minimum Age: 18 Years

Maximum Age: 100 Years

Are Healthy Volunteers Accepted: Accepts Healthy Volunteers

Investigator Details

  • Lead Sponsor
    • Tri-Service General Hospital
  • Provider of Information About this Clinical Study
    • Principal Investigator: Peng-Jen Chen, Head of Endoscopy Center – Tri-Service General Hospital
  • Overall Official(s)
    • Peng-Jen Chen, MD, Principal Investigator, Tri-Service General Hospital, National Defense Medical Center, Taiwan
  • Overall Contact(s)
    • Peng-Jen Chen, MD, +886-87923311, endoscopy@ndmctsgh.edu.tw

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