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Abstract #2400

Post processing decisions, independent of institution and fit, influence the perceived diagnostic utility of prostate cancer diffusion maps

Sean D McGarry1, John D Bukowy2, Kenneth Iczkowski3, Allison K Lowman2, Anjishnu Banerjee4, Kenneth Jacobsohn5, Petar Duvnjak2, Michael Griffin2, Dariya Malyarenko6, Tom Chenevert6, Yuan Li7,8, DaeKeun You7, Yue Cao6,7, Andrey Fedorov9, Laura C Bell10, Chad Quarles10, Melissa A Prah1, Kathleen M Schmainda1, Stefanie Hectors11, Bachir Taouli11, Eve LoCastro12, Yousef Mazaheri12,13, Amita Shukla-Dave12,13, Thomas Yankeelov14, David Hormuth II14, Ananth J Madhuranthakam15, Keith Hulsey15, Mark Muzi16, Michael Jacobs17, Meiyappan Solaiyappan17, William See5, Mark Hohenwalter2, and Peter S LaViolette18
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 5Urological Surgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Radiology, University of Michigan, Ann Arbor, MI, United States, 7Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 8Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 9Radiology, Brigham and Womens Hospital, Boston, MA, United States, 10Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 11Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 12Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 13Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 14Institute for Computer Engineering and Sciences, University of Texas, Austin, TX, United States, 15Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 16Radiology and Neurology, University of Washington, Seattle, WA, United States, 17Radiology, Johns Hopkins University, Baltimore, MD, United States, 18Radiology, Medical College of Wisconsin, wauwatosa, WI, United States

Diffusion data from 33 prospectively recruited patients was distributed to 14 sites, who returned monoexponential, biexponential, and diffusion kurtosis fits of the data. Receiver operator characteristic curve AUC was evaluated while varying the positive condition in the ROC analysis, minimum lesion size included, and method of extracting values from the ROI. Cluster size and stratification technique have a significant impact on the AUC and should be explicitly stated in future rad-path studies.

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