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Abstract #4506

Quantitative Imaging Network Demonstration of ADC Nonlinearity Bias in Multi-center Trials

Dariya Malyarenko 1 , David Newitt 2 , Alina Tudorica 3 , Robert Mulkern 4 , Karl G. Helmer 5 , Michael A. Jacobs 6 , Lori Arlinghaus 7 , Thomas Yankeelov 7 , Fiona Fennessy 4 , Wei Huang 3 , Nola Hylton 2 , and Thomas L. Chenevert 1

1 Radiology, University of Michigan, Ann Arbor, MI, United States, 2 Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3 Oregon Health and Science University, Portland, OR, United States, 4 Dana Faber Harvard Cancer Center, Harvard Medical School, Boston, MA, United States, 5 Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 6 John Hopkins University School of Medicine, Baltimore, MD, United States, 7 Vanderbilt University Institute of Imaging Science, Vanderbilt Unversity, Nashville, TN, United States

Multi-center clinical trials seek to establish confidence levels for quantitative diffusion measurements. Scanner-specific gradient nonlinearity bias was observed for off-center measurements and implicated as a major source of potential reproducibility error in ADC mapping for some scanners. A practical procedure was developed to empirically characterize the systematic nonlinearity bias across diverse clinical MRI platforms. The results are demonstrated for representative MRI scanners utilized in clinical oncology trials supported by the NCI Quantitative Imaging Network (QIN).

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