Construction of the novel computer-aided diagnosis system for predicting histologic inflammatory severity of Ulcerative colitis patients using endocytoscopy

Not Applicable

• Conditions: lcerative colitis

• Registration Number: JPRN-UMIN000032476
• Lead Sponsor: Digestive Disease Center, Showa University Northern Yokohama Hospital

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2018-05-06
• Study Completion: 2021-11-16
• Last Update Posted: 17 October 2023

Recruitment & Eligibility

• Status: Complete: follow-up complete
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

Not provided

Exclusion Criteria

None

Study & Design

• Study Type: Others,meta-analysis etc
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in segment-based analysis.

Secondary Outcome Measures

Name	Time	Method
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in segments with mucosal healing. Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for predicting persist of histologic inflammation in patient-based analysis.