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Abstract #0600

Multi-site Concordance of DWI Metrics: Results of the NCI Quantitative Imaging Network ADC Mapping Collaborative Project

David C Newitt1, Dariya Malyarenko2, Thomas L Chenevert2, C. Chad Quarles3, Laura Bell3, Andrey Fedorov4, Fiona Fennessy4, Michael A Jacobs5, Meiyappan Solaiyappan 5, Stefanie Hectors6, Bachir Taouli6, Kathleen M Schmainda7, Melissa A Prah7, Yi-Fen Yen8, Jayashree Kalpathy-Cramer8, Erin Taber 9, Christopher Kroenke 9, Yue Cao10, Madhava Aryal11, Mark Muzi12, Paul Kinahan12, Thomas E Yankeelov13, Lori R Arlinghaus14, Michael A Boss15, Amita Shukla-Dave16, and Nola Hylton1

1Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 3Translational Bioimaging Group, Barrow Neurological Institute, Phoenix, AZ, United States, 4Brigham and Womens Hospital, Boston, MA, United States, 5Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 7Radiology and Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 8Martinos Center, Massachusetts General Hospital, Boston, MA, United States, 9Oregon Health & Science University, Portland, OR, United States, 10Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 11Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 12Radiology, Neurology & RadOnc, University of Washington, Seattle, WA, United States, 13University of Texas, Austin, TX, United States, 14Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 15Applied Physics Division, National Institute of Standards and Technology, Boulder, CO, United States, 16Medical Physics and Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, United States

Reproducibility of diffusion metrics is essential given the increasing role quantitative diffusion weighted imaging plays in diagnosis and treatment monitoring. Here we examined the variability in apparent diffusion coefficient (ADC) measures resulting from different post-processing software implementations utilized by researchers across the NCI Quantitative Imaging Network. Agreement between the majority of implementations was good; typical biases for in vivo ADC measures of 2-3%, and lower biases in phantom scans. Higher deviations (above 5%) detected among individual implementations and scanner-generated parametric maps highlighted inadequacies in meta-data and post-processing parameters that need to be addressed in multi-site study settings.

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