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Abstract #2892

Image quality in MY-RADS whole-body MRI protocols applied in a prospective multi-centre multiple myeloma study

Sam Keaveney1, Alina Dragan1, Mihaela Rata1, Matthew Blackledge1, Erica Scurr1, Jessica Winfield1, Dow-Mu Koh1, Nuria Porta1, Antonio Candito1, Alexander King2, Winston Rennie3, Suchi Gaba4, Priya Suresh5, Paul Malcolm6, Amy Davis7,8, Anjumara Nilak9, Aarti Shah10, Sanjay Gandhi11, Mauro Albrizio12, Arnold Drury13, Sadie Roberts14, Matthew Jenner2, Sarah Brown14, Martin Kaiser1, and Christina Messiou1
1Royal Marsden Hospital & Institute of Cancer Research, Sutton, United Kingdom, 2Southampton General Hospital, Southampton, United Kingdom, 3Leicester Royal Infirmary, Leicester, United Kingdom, 4Royal Stoke University Hospital, Stoke-on-Trent, United Kingdom, 5Derriford Hospital, Plymouth, United Kingdom, 6Norfolk & Norwich University Hospital, Norwich, United Kingdom, 7Epsom & St. Helier University Hospital, Epsom, United Kingdom, 8Spire St. Anthony's Hospital, Sutton, United Kingdom, 9Worcestershire Royal Hospital, Worcester, United Kingdom, 10Basingstoke & North Hampshire Hospital, Basingstoke, United Kingdom, 11North Bristol NHS Trust, Bristol, United Kingdom, 12Nottingham University Hospitals, Nottingham, United Kingdom, 13Royal Bournemouth & Christchurch Hospitals, Bournemouth, United Kingdom, 14University of Leeds, Leeds, United Kingdom


An assessment of image quality is presented from a multicentre WB-MRI study. A radiologist assessed image quality and the presence/severity of several common artefacts/image quality issues and metrics were also defined to measure these quantitatively. Image quality was consistently good or excellent, with only one DWI examination deemed non-diagnostic. In the case of most artefacts, the quantitative measurements were found to correlate with radiological assessment and a statistically significant ordinal regression model was found to predict DW image quality score using the quantitative measurements. These measurements could form part of an automated quality control pipeline for multi-centre WB-MRI studies.

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