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

NCT06858553 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 234

Last updated 2025-08-05

No results posted yet for this study

Summary

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.

Conditions

  • Crohn Disease (CD)

Sponsors & Collaborators

  • Sixth Affiliated Hospital, Sun Yat-sen University

    collaborator OTHER

  • Sir Run Run Shaw Hospital

    collaborator OTHER

  • Jinling Hospital, China

    collaborator OTHER

  • MSD R&D (China) Co., Ltd.

    collaborator INDUSTRY

  • Ruijin Hospital

    collaborator OTHER

  • Minhu Chen

    lead OTHER

Principal Investigators

  • Minhu Chen · First Affiliated Hospital, Sun Yat-Sen University

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-06-03
Primary Completion
2027-02-28
Completion
2027-02-28

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06858553 on ClinicalTrials.gov