MIDI (MR Imaging Abnormality Deep Learning Identification)

NCT04368481 | Recruiting

• 1 other identifier: KCH18-197
• Study Type: observational
• Target: 30,000
• Locations: 1 country
• Sites: 33

Brief Summary

The study involves the development and testing of an artificial intelligence (AI) tool that can identify abnormalities using patient head scans conducted for routine clinical care and research volunteer scans. A deep learning algorithm will be developed using a dataset of retrospective and prospective MRI head scans to train, validate, and test convolutional networks using software developed at the Department of Biomedical Engineering, King's College London. The reference standard will be consultant radiologist reports of the MRI head scans.

Conditions

Neurological Disorder

Outcome Measures

Primary Outcomes (1)

• Sensitivity and specificity of a convolutional neural network to recognise abnormalities on head MRI scans.

  Sensitivity, specificity, positive predictive value, and negative predictive values.

  At end of study (5-year study)

Secondary Outcomes (1)

• Sensitivity and specificity of a convolutional neural network to broadly categorise abnormalities on head MRI scans.

  At end of study (5-year study)

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All adult MRI head scan patients presenting at secondary and tertiary NHS centres across the UK for any indication.

You may qualify if:

• All head MRI scans with compatible sequences
• \> 18 years old

You may not qualify if:

• No corresponding radiologist report
• No consent for future use of the research images held within the historic database stored at The Centre for Neuroimaging Sciences (Kings College London).
• Poor image quality

Sponsors & Collaborators

• King's College Hospital NHS Trust: lead
• King's College London: collaborator

Study Sites (33)

Princess Royal University Hospital, King's College Hospital NHS Foundation Trust

Orpington, Kent, United Kingdom

RECRUITING

Buckinghamshire Healthcare Nhs Trust (Stoke Mandeville)

Aylesbury, United Kingdom

RECRUITING

Mid and South Essex NHS Foundation Trust

Basildon, United Kingdom

RECRUITING

Bedfordshire Hospitals Nhs Foundation Trust

Bedford, United Kingdom

RECRUITING

Betsi Cadwaladr University Health Board

Bodelwyddan, United Kingdom

RECRUITING

East Kent Hospitals University Nhs Foundation Trust

Canterbury, United Kingdom

RECRUITING

South Eastern Health & Social Care Trust

Dundonald, BT16 1RH, United Kingdom

RECRUITING

Queen Victoria Hospital Nhs Foundation Trust

East Grinstead, United Kingdom

RECRUITING

Medway Nhs Foundation Trust

Gillingham, United Kingdom

RECRUITING

Northern Lincolnshire and Goole Nhs Foundation Trust

Grimsby, United Kingdom

RECRUITING

Calderdale and Huddersfield NHS Foundation Trust

Huddersfield, United Kingdom

RECRUITING

The Queen Elizabeth Hospital King'S Lynn Nhs Trust

Kings Lynn, United Kingdom

RECRUITING

Kingston Hospital Nhs Foundation Trust

Kingston, United Kingdom

RECRUITING

NHS FIFE

Kirkcaldy, KY2 5AH, United Kingdom

RECRUITING

Forth Valley Royal Hospital

Larbert, FK5 4WR, United Kingdom

RECRUITING

Leeds Teaching Hospital NHS Trust

Leeds, United Kingdom

RECRUITING

University Hospitals of Leicester Nhs Trust

Leicester, United Kingdom

RECRUITING

Kings' College Hospital

London, SE5 9RS, United Kingdom

COMPLETED

CNS, Maudsley Hospital, South London and Maudsley NHS Foundation Trust

London, United Kingdom

RECRUITING

Croydon University Hospital, Croydon Health Services NHS Trust

London, United Kingdom

RECRUITING

Guy's Hospital, Guy's and St Thomas's NHS Foundation Trust

London, United Kingdom

RECRUITING

St George's Hospital, St George's University Hospital NHS Foundation Trust

London, United Kingdom

RECRUITING

St Thomas' Hospital, Guy's and St Thomas's NHS Foundation Trust

London, United Kingdom

RECRUITING

Norfolk and Norwich University Hospitals Nhs Foundation Trust

Norwich, United Kingdom

RECRUITING

Queen's Medical Centre University Hospital, Nottingham University Hospitals NHS Foundation Trust

Nottingham, United Kingdom

RECRUITING

Surrey and Sussex Healthcare Nhs Trust

Redhill, United Kingdom

RECRUITING

East Sussex Healthcare Nhs Trust

Saint Leonards-on-Sea, United Kingdom

RECRUITING

Northern Lincolnshire and Goole Nhs Foundation Trust

Scunthorpe, United Kingdom

RECRUITING

Mid and South Essex Nhs Foundation Trust

Southend, United Kingdom

RECRUITING

St George'S University Hospitals Nhs Foundation Trust

Tooting, United Kingdom

RECRUITING

Torbay and South Devon Nhs Foundation Trust

Torquay, United Kingdom

COMPLETED

Royal Cornwall Hospitals Nhs Trust

Truro, United Kingdom

RECRUITING

West Hertfordshire Hospitals Nhs Trust

Watford, United Kingdom

RECRUITING

Related Publications (1)

• Wood DA, Guilhem E, Kafiabadi S, Al Busaidi A, Dissanayake K, Hammam A, Mansoor N, Townend M, Agarwal S, Wei Y, Mazumder A, Barker GJ, Sasieni P, Ourselin S, Cole JH, Nair N, Geetha A, Onyekwuluje C, Dineen R, Dhillon P, Costigan C, Fatania K, Igra M, Nichols R, Saada J, Juette A, Barbara RR, Spohr H, Booth TC; MIDI Consortium Group. Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study). Radiol Artif Intell. 2026 Mar;8(2):e240619. doi: 10.1148/ryai.240619.

  PMID: 41295086 DERIVED

MeSH Terms

Conditions

Nervous System Diseases

Study Officials

• Thomas Booth

  King's College Hospital NHS Trust

  PRINCIPAL INVESTIGATOR

Central Study Contacts

MIDI Central Team

CONTACT

+44(0)20 7848 9670; kch-tr.midistudy@nhs.net

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 18, 2020
• First Posted: April 29, 2020
• Study Start: April 1, 2019
• Primary Completion: August 31, 2024
• Study Completion: March 31, 2025
• Last Updated: April 10, 2024

Record last verified: 2024-04

Locations

GB (33)