EligibleTrials

AI-Assisted MRE for Intestinal Fibrosis in Crohn's Disease

Recruiting · NCT06858553 · Observational (researchers observe without assigning treatment) · Lead sponsor: Minhu Chen

View the official record on ClinicalTrials.gov →
Crohn's disease

What this trial is about

Intestinal fibrotic strictures represent a severe complication of Crohn's disease (CD), affecting over half of the patients. Despite the continuous emergence of novel medications, effective treatment options remain scarce. Endoscopy fails to identify the full-thickness fibrosis of the bowel wall, and standardized assessment for cross-sectional imaging has yet to be established. Previous studies have demonstrated that radiomics models based on computed tomography and deep learning models exhibit commendable diagnostic capability. Thus, this project seeks to conduct a prospective multicenter study, with plans to recruit 234 CD patients requiring bowel resection from five medical centers. The aim is to develop and validate a deep learning model based on magnetic resonance enterography (MRE) to accurately characterize intestinal fibrosis.

Who can take part

Age range
18 Years to 75 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

5 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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