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Clinical Relapse Prediction of Ulcerative Colitis Using an Endoscopy Automated Diagnosis System

Prospective study of clinical relapse prediction of ulcerative colitis using automated diagnosis system with ultra-magnification endoscope - Prospective study of clinical relapse prediction of ulcerative colitis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000036650
Enrollment
150
Registered
2019-05-07
Start date
2019-05-08
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: Patients who have been diagnosed with establised ulcerative colitis.Patients who perform colonoscopy following to their clinical needs. Patients with clinical remission (partial Mayo Score of 0 or 1).Patients not using Prednisolone within half a year.Patients who have not received radiation therapy for the abdominal or pelvis.

Exclusion criteria

Exclusion criteria: Patients who have been denied participation in this study Patients who could not follow up at the end of the study or until relapse

Design outcomes

Primary

MeasureTime frame
the difference in clinical relapse rate according to the diagnosis of UC-CAD.

Secondary

MeasureTime frame
1. The differences in clinical relapse rate by extent of disease according to the diagnosis according to UC-CAD 2. The differences in clinical relapse rate according to the diagnosis according to endoscopists. 3. Time required to diagnose UC-CAD 4. Cecal success rate 5. Cecal insertion success time

Countries

Japan

Contacts

Public ContactYasuharu Maeda

Showa University Northern Yokohama Hospital Digestive Disease Center

yasuharumaeda610@hotmail.com+81459497000

Outcome results

None listed

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