Tokyo, Dec. 14 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000060076) titled 'A Study on AI-Based Assessment of Ulcerative Colitis Severity Using Abdominal CT Images' on Dec. 13.
Study Type:
Observational
Primary Sponsor:
Institute - Fukushima Medical University
Condition:
Condition - Ulcerative colitis patients
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - To develop an artificial intelligence (AI) model with diagnostic accuracy comparable to that of expert physicians for assessing the severity of ulcerative colitis using abdominal CT images.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - 18
years-old
=
Gender - Male and Female
Key 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.
Key exclusion criteria - Patients whose ulcerative colitis disease activity was not evaluated by colonoscopy within +-2 weeks of the CT examination.
Target Size - 200
Recruitment Status:
Recruitment status - Enrolling by invitation
Date of protocol fixation - 2025 Year 08 Month 31 Day
Date of IRB - 2025 Year 10 Month 27 Day
Anticipated trial start date - 2025 Year 10 Month 27 Day
Last follow-up date - 2026 Year 09 Month 30 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000068704
Disclaimer: Curated by HT Syndication.
