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Construction of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy

Construction of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy - Construction of the novel computer-aided diagnosis system for histological healing using endocytoscopy

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000031349
Enrollment
100
Registered
2018-02-17
Start date
2018-01-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ulcerative colitis

Interventions

None listed

Sponsors

Digestive Disease Center, Showa University Northern Yokohama Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: UC patients who were taken biopsy after observation with endocytoscopy

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for histological healing in patient-based analysis.—

Secondary

MeasureTime frame
Diagnostic ability (sensitivity, specificity, accuracy, positive predictive value, and negative predictive value) for histological healing in segment-based analysis.—

Countries

Japan

Contacts

Public ContactYasuharu Maeda

Showa University Northern Yokohama Hospital Digestive Disease Center

yasuharumaeda610@hotmail.com0459497567

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026