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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