Actively Recruiting

Age: 16Years +
All Genders
Healthy Volunteers
ID06868875

Data Sharing to Develop Computer-Aided Detection for Small Bowel Assessment Using MRI

Led by University College, London · Updated on 2025-03-11

1500

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Crohn's disease involves abnormal immune responses in the bowel wall, causing thickening, narrowing, abnormal connections, motility issues, and infections. Radiological imaging of the small bowel is essential for diagnosis, assessing disease activity, and guiding treatment. Magnetic resonance imaging (MRI) is a safe and well-tolerated method widely used to evaluate the small bowel without radiation exposure. Currently, radiologists manually measure disease features on MRI, which is time-consuming and challenging. This study aims to develop computer software to accurately assess the small bowel using MRI by sharing anonymized MRI datasets and clinical data from patients with and without Crohn's disease. The investigators plan to share fully anonymized MRI datasets and relevant clinical information, such as blood tests, endoscopic findings, and histology, collected from routine clinical practice at University College Hospital since 2005. Collaborative partners include the Centre for Medical Image Computing at University College London and a European consortium. A total of 375 datasets will be shared for software development, including both normal and abnormal small bowel examinations. The study will use retrospective data collected as part of ongoing ethically approved projects. Participants' anonymized MRI data and clinical test results will be used to develop and validate computer software that extracts bowel features from MRI scans. The primary outcome is to create software capable of accurately identifying the bowel in MRI datasets over approximately 10 years. Only authorized staff involved in the original research will access the datasets, ensuring confidentiality and adherence to good clinical practice and research governance.

CONDITIONS

Brief Title

Anonymous Data Sharing for Small Bowel

Who Can Participate

Age: 16Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Had a small bowel MRI at University College Hospital between 2005 and September 2010 as part of routine clinical practice
  • Have a clinical standard of reference within 6 weeks of the MRI scan
  • Patients with normal small bowel MRI studies and no clinical evidence of bowel pathology on additional diagnostic tests
Not Eligible

You will not qualify if you...

  • Patients younger than 16 years old
  • Patients not meeting either of the inclusion criteria

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Surveillance

Duration - Up to 10 years

Participants who have undergone small bowel MRI and related clinical tests as part of routine care are observed through anonymized data sharing to support software development.

No additional visits; data are collected from existing clinical records

Trial Site Locations

Total: 1 location

1

University College London Hospital

London, United Kingdom, NW1 2BU

Actively Recruiting

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Research Team

N

Neela Ramchurn

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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