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

Evaluation of the novel computer-aided diagnosis system for predicting histological healing of UC patients using endocytoscopy - Evaluation 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-UMIN000027307
Enrollment
100
Registered
2017-05-11
Start date
2017-05-02
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: Images of UC which were taken biopsy after observation with endocytoscopy

Exclusion criteria

Exclusion criteria: images which were unclear

Design outcomes

Primary

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

Secondary

MeasureTime frame
Comparison required time between obtaining EC image and taking a biopsy sample—

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