4.4 Article

UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer

Journal

BRITISH JOURNAL OF RADIOLOGY
Volume 91, Issue 1081, Pages -

Publisher

BRITISH INST RADIOLOGY
DOI: 10.1259/bjr.20170577

Keywords

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Funding

  1. HEE/NIHR [HCS SCL-2014-05-002]
  2. NIHR UCLH Biomedical Research Centre
  3. KCL/UCL Comprehensive Cancer imaging Centre - CRUK
  4. EPSRC
  5. London Cancer
  6. NIHR
  7. NIHR-CLAHRC North Thames at Bart's Health NHS Trust
  8. MRC
  9. DoH [C1519/A16463, C1060/A10334, C1060/A16464]
  10. Wellcome/EPSRC Centre for Medical Engineering at KCL [WT 203148/Z/16/Z]
  11. DoH via NIHR GSTT Biomedical Research Centre
  12. Addenbrooke's Charitable Trust
  13. NIHR comprehensive Biomedical Research Centre
  14. University of Cambridge
  15. EPSRC at the Cancer Imaging Centre at ICR
  16. RMH
  17. NHS
  18. NIHR (EME)
  19. NIHR (HTA)
  20. ECMC
  21. National Institute for Health Research
  22. CRUK
  23. Imperial
  24. Pelican Foundation
  25. Imperial CRUK Centre
  26. Clinical Research Facility in Imaging
  27. Cancer Research UK [16464, 16463, 22746, 15267] Funding Source: researchfish
  28. Medical Research Council [G0701945] Funding Source: researchfish
  29. National Institute for Health Research [CL-2007-18-015, 13/122/01, 16/68/34, PDF-2012-05-441, NF-SI-0513-10019, HCS SCL-2014-05-002] Funding Source: researchfish
  30. MRC [G0701945] Funding Source: UKRI

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Objective: Application of whole body diffusion-weighted MRI (WB-DWI) for oncology are rapidly increasing within both research and routine clinical domains. However, WB-DWI as a quantitative imaging biomarker (QIB) has significantly slower adoption. To date, challenges relating to accuracy and reproducibility, essential criteria for a good QIB, have limited widespread clinical translation. In recognition, a UK workgroup was established in 2016 to provide technical consensus guidelines (to maximise accuracy and reproducibility of WB-MRI QIBs) and accelerate the clinical translation of quantitative WB-DWI applications for oncology. Methods: A panel of experts convened from cancer centres around the UK with subspecialty expertise in quantitative imaging and/or the use of WB-MRI with DWI. A formal consensus method was used to obtain consensus agreement regarding best practice. Questions were asked about the appropriateness or otherwise on scanner hardware and software, sequence optimisation, acquisition protocols, reporting, and ongoing quality control programs to monitor precision and accuracy and agreement on quality control. Results: The consensus panel was able to reach consensus on 73% (255/351) items and based on consensus areas made recommendations to maximise accuracy and reproducibly of quantitative WB-DWI studies performed at 1.5T. The panel were unable to reach consensus on the majority of items related to quantitative WB-DWI performed at 3T. Conclusion: This UK Quantitative WB-DWI Technical Workgroup consensus provides guidance on maximising accuracy and reproducibly of quantitative WB-DWI for oncology. The consensus guidance can be used by researchers and clinicians to harmonise WB-DWI protocols which will accelerate clinical translation of WB-DWI-derived QIBs.

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