A Study on AI-Based Assessment of Ulcerative Colitis Severity Using Abdominal CT Images

A Study on AI-Based Assessment of Ulcerative Colitis Severity Using Abdominal CT Images - AI-Based Assessment of UC Severity Using CT

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000060076

Enrollment

200

Registered

2025-12-13

Start date

2025-10-27

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 patients

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Derivation Dataset for AI Model Development: Patients with ulcerative colitis who underwent abdominal CT examinations at Aizu Medical Center Hospital between May 2013 and August 2025. 2. Test Dataset for AI Model Validation: Patients with ulcerative colitis who underwent abdominal CT examinations at Jichi Medical University Hospital or Takeda General Hospital between May 2013 and August 2025.

Exclusion criteria

Exclusion criteria: Patients whose ulcerative colitis disease activity was not evaluated by colonoscopy within +-2 weeks of the CT examination.

Design outcomes

Primary

Measure	Time frame
Association Between AI-Based Assessment of Intestinal Inflammation Using CT Images and Clinical and Endoscopic Disease Activity	—

Secondary

Measure	Time frame
1. Association Between CT Findings and Clinical Disease Activity (MHLW Criteria and Partial Mayo Score) 2. Association Between CT Findings and Endoscopic Disease Activity (Mayo Endoscopic Subscore [MES]) 3. Association Between CT Findings and Laboratory Biomarkers, Including Blood Tests (CRP, LRG), Stool Tests (Fecal Calprotectin [FCP]), and Urine Tests (PEG-MUM)	—

Countries

Japan

Contacts

Public ContactMasato Aizawa

Fukushima Medical University, Aizu Medical Center Department of Gastroenterology

aizawa-m@fmu.ac.jp0242-75-2100

Outcome results