Data Sharing With Collaborative Partners to Develop Computer Aided Detection for the Assessment of the Small Bowel Using MRI

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

Crohn's disease is characterised by an abnormal immunological response within the bowel wall leading to abnormal wall thickening, stricturing (narrowing), fistulation (abnormal connections) to adjacent organs and strictures (narrowing), abnormal motility, and local sepsis (infection). Radiological imaging of the small bowel defines diagnosis, disease extent, biological activity and complications and is vital for timely and efficacious clinical management. Small bowel magnetic resonance imaging (MRI) does not impart ionising radiation and is proving to be a safe, well tolerated and robust method of assessing the small bowel and is widely implemented in the NHS and Europe. MRI evaluates multiple disease related features such as bowel wall thickness and motility which are proving increasing reliable for disease identification, staging, therapeutic guidance and assessment of treatment response. Currently however radiologists must manually make these measurements which are time consuming and difficult. There are no computer tools that can quickly and accurate make relevant measurements on MRI to guide patient management. Radiologists at University College Hospital have formed collaborations with groups within University College London (UCL) and around Europe. The investigators have received grant funding to develop computer software to accurately assess the small bowel using MRI over 3 years. To develop this software, it is necessary to use anonymised datasets from patients with and without Crohn's disease undergoing small bowel MRI. Part of this project will require prospective collection of MRI data which has been granted ethical approval as a major amendment to a currently running project (09/H0714/62). The department of Radiology at UCLH has been running a clinical small bowel MRI service since 2005 and have several hundred datasets on its PACS. This current ethics application seeks permission to datashare with the collaborative partners fully anonymised MRI datasets and relevant clinical data from patients previously undergoing small bowel MRI for clinical indications at UCLH.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 16
Healthy Volunteers: t
View:

• Had a small bowel MRI at UCLH between 2005 and Sept 2010 as part of routine clinical practice who:

• 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 any additional diagnostic investigations

Locations
Other Locations
United Kingdom
University College London Hospital
RECRUITING
London
Contact Information
Primary
Neela Ramchurn
n.ramchurn1@nhs.net
Time Frame
Start Date: 2011-04-24
Estimated Completion Date: 2027-08-31
Participants
Target number of participants: 1500
Treatments
Anonymised datasets acquired as part of an ethically approved research project 'RESEARCH DATASETS':
We have two ongoing ethically approved UCLH studies investigating the use of MRI in small bowel Crohn's disease and comparison with clinical standards of reference, notably endoscopic biopsy, blood test data and clinical symptom diaries. As part of these projects, patients agree to their anonymised data to be used for future work.~Only staff on the delegation log for the original research project will have access to any psudeo-anonymised datasets acquired as part of that research. This is consistent with ICH Good Clinical Practice and local Research Governance procedures.
Anonymised datasets acquired as part of clinical practice 'CLINICAL DATASETS'
Many patients undergoing small bowel MRI or USS at UCH and other collaborating hospitals often also undergo additional tests as part of their usual clinical care which are recognised as good standards of reference against which we can validate our imaging findings. Notable examples are blood tests (eg. CRP), endoscopy and biopsy, and symptom questionnaires. Furthermore, many patients have normal examinations and these datasets are also very useful in software development to define a standard of normality.~Only staff with full or honorary contracts and part of the clinical team at collaborating hospitals will have access to the clinical data and un-anonymised datasets. This is consistent with the situation presently as such staff already can access both the PACS and hospital CDR as part of their usual clinical practice
Sponsors
Leads: University College, London

This content was sourced from clinicaltrials.gov