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Abstract #2269

Phantom and workflow for validation and quality assurance of musculoskeletal MR intensive-variable biomarkers

John Charles Waterton1,2, Marta Tibiletti1, Matt Cashmore3, Matt G Hall3, Rachel Lamb4, Damien McHugh2,5, Adrian Walker4, James PB O'Connor2,6, and Geoff JM Parker1,7
1Bioxydyn Ltd, MANCHESTER, United Kingdom, 2University of Manchester, MANCHESTER, United Kingdom, 3National Physical Laboratory, Teddington, United Kingdom, 4Leeds Test Objects Ltd, Boroughbridge, United Kingdom, 5The Christie NHS Foundation Trust, MANCHESTER, United Kingdom, 6Institute of Cancer Research, LONDON, United Kingdom, 7University College London, LONDON, United Kingdom

Synopsis

Keywords: Whole Joint, Quantitative Imaging

Motivation: We seek better validation and QA of musculoskeletal intensive-variable MR biomarkers.

Goal(s): We aimed to devise and evaluate a phantom with suitable form factor and composition for practical use in this setting.

Approach: “Expected” temperature- and B0-dependent R1 values were calculated from prior data and verified by inversion recovery (IR). Practical QA use cases for hand and knee trials were exemplified using product-sequence 3D variable flip angle (3DVFA) R1measurements on three vendors’ scanners.

Results: There was little deviation between “Expected” and IR-measured R1 (rms 3.8%). 3DVFA R1 exhibited bias (mean +23%) which must be subtracted during within-study QA.

Impact: This work will improve QA in real-world musculoskeletal clinical trials which use intensive-variable MR biomarkers, and will help validate such biomarkers.

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