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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