Prediction of relapse by whole colon score to assess activity of ulcerative colitis using endoscopic artificial intelligence.

Prediction of relapse by whole colon score to assess activity of ulcerative colitis using endoscopic artificial intelligence. - Whole colon score of UC

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000049559

Enrollment

200

Registered

2022-11-19

Start date

2022-11-19

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

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients undergoing colonoscopy at our hospital. Patients with steroid-free clinical remission ulcerative colitis.

Exclusion criteria

Exclusion criteria: Patients who do not give consent. Patients whose outpatient visits ended within 1 year after the examination. Patients treated for colorectal neoplastic lesions.

Design outcomes

Primary

Measure	Time frame
Superiority of Whole colon score to conventional Mayo score in predicting clinical relapse	—

Secondary

Measure	Time frame
Comparison of Whole colon score and histological findings. Comparison of Whole colon score with UCEIS. Comparison of Whole colon score with blood data including LRG.	—

Countries

Japan

Contacts

Public ContactYasuharu Maeda

Showa University Northern Yokohama Hospital Digestive Disease Center

yasuharumaeda610@hotmail.com0459497000

Outcome results