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Abstract #3637

Multisite evaluation of repeatability and stability for a novel quantitative diffusion kurtosis phantom

Dariya Malyarenko1, Scott D Swanson1, Amaresha S Konar2, Eve LoCastro2, Ramesh Paudyal2, Michael Z Liu3, Sachin R Jambawalikar3, Lawrence H Schwartz3, Amita Shukla-Dave4, and Thomas L Chenevert1

1Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 2Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Columbia University Irving Medical Center, New York, NY, United States, 4Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

Multi-center clinical trials utilizing quantitative diffusion kurtosis imaging (DKI) protocols require accurate, precise, and stable phantoms for validation of derived imaging metrics. This study examines the precision and reproducibility of isotropic (i)DKI parameters obtained from a phantom based on nanostructured vesicles that restrict diffusion and mimic tissue cellularity. Ten test-retest iDKI studies were performed on four scanners at three imaging centers over a six-month period. The tested prototype phantoms exhibited physiologically-relevant and highly-repeatable apparent diffusion and kurtosis parameters. Achieved precision was sufficient to characterize thermal and temporal stability trends to guide robust quantitative iDKI phantom production.

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