Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study.

Journal: BMJ open
PMID: 36198471

Abstract

INTRODUCTION: Whole-body MRI (WB-MRI) is recommended by the National Institute of Clinical Excellence as the first-line imaging tool for diagnosis of multiple myeloma. Reporting WB-MRI scans requires expertise to interpret and can be challenging for radiologists who need to meet rapid turn-around requirements. Automated computational tools based on machine learning (ML) could assist the radiologist in terms of sensitivity and reading speed and would facilitate improved accuracy, productivity and cost-effectiveness. The MALIMAR study aims to develop and validate a ML algorithm to increase the diagnostic accuracy and reading speed of radiological interpretation of WB-MRI compared with standard methods.

Authors

  • Laura Satchwell
    Royal Marsden Hospital NHS Trust, London, UK laura.satchwell@rmh.nhs.uk.
  • Linda Wedlake
    Royal Marsden Hospital NHS Trust, London, UK.
  • Emily Greenlay
    Royal Marsden Hospital NHS Trust, London, UK.
  • Xingfeng Li
    Department of Cancer and Surgery, Imperial College London, London, UK.
  • Christina Messiou
    Department of Radiology, Royal Marsden Hospital, Sutton, UK.
  • Ben Glocker
    Kheiron Medical Technologies, London, UK.
  • Tara Barwick
    Department of Cancer and Surgery, Imperial College London, London, UK.
  • Theodore Barfoot
    King's College London, London, UK.
  • Simon Doran
    Institute of Cancer Research, London, UK.
  • Martin O Leach
    Institute of Cancer Research, London, UK.
  • Dow Mu Koh
    Royal Marsden Hospital NHS Trust, London, UK.
  • Martin Kaiser
    Royal Marsden Hospital NHS Trust, London, UK.
  • Stefan Winzeck
    University Division of Anaesthesia, Department of Medicine, University of Cambridge, United Kingdom (S.W.).
  • Talha Qaiser
    Tissue Image Analytics Lab, Department of Computer Science, University of Warwick, Coventry, United Kingdom.
  • Eric Aboagye
    Department of Cancer and Surgery, Imperial College London, London, UK.
  • Andrea Rockall
    Department of Cancer and Surgery, Imperial College London, London, UK.

Keywords

External Resources

Popular Topics
Recent Journals