Validation of optical enhancement for the prediction of colorectal polyp histology
Not Applicable
Recruiting
- Conditions
- Neoplasms
- Registration Number
- KCT0005072
- Lead Sponsor
- Dong-A University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 120
Inclusion Criteria
Patients who undergoing colonoscopy and found colonic polyps
- Patients who undergoing colon polypectomy
Exclusion Criteria
- Patients who disagree with or withdraw their conset
Study & Design
- Study Type
- Interventional Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Evaluate the specifity of NICE classification, JNET classification, and pathological results.;Evaluate the positive predictiveness of whether the NICE classification, JNET classification and pathological results are consistent.;Evaluate the negative predictiveness of whether the NICE classification, JNET classification and pathological results are consistent.;Evaluate the sensitivity of NICE classification, JNET classification, and pathological results.
- Secondary Outcome Measures
Name Time Method Endoscopic doctors who participate in the pathology prediction have more than 2000 experiences with colonoscopy, two experienced groups with full knowledge of NICE classification and JNET classification, and less than 1,000 cases with colonoscopy. Divided into eight trainee groups for the study, assessing sensitivity, specificity, positive predictive value, and negative predictive value, respectively.