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Abstract #2421

Multi-site analysis of DWI metrics for differentiating pathologically confirmed prostate cancer: patient and digital reference object results

Peter S LaViolette1, Sean D McGarry2, John D Bukowy1, Allison K Lowman1, Anjishnu Banerjee3, Dariya Malyarenko4, Tom Chenevert4, Yue Cao4,5, Andrey Fedorov6, Laura C Bell7, Chad Quarles7, Melissa A Prah2, Kathleen M Schmainda2, Stefanie Hectors8, Bachir Taouli8, Eve LoCastro9, Yousef Mazaheri9,10, Amita Shukla-Dave9,10, Thomas Yankeelov11, David Hormuth II11, Ananth J Madhuranthakam12, Keith Hulsey12, Wei Huang13, Mark Muzi14, Michael Jacobs15, Meiyappan Solaiyappan15, Kenneth Jacobsohn16, Mark Hohenwalter1, Petar Duvnjak1, Michael Griffin1, Watchareepohn Palanghmonthip17,18, William See16, Marja Nevalainen17, and Kenneth Iczkowski17
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 4Radiology, University of Michigan, Ann Arbor, MI, United States, 5Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 6Radiology, Brigham and Womens Hospital, Boston, MA, United States, 7Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 8Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 9Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 10Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 11Institute for Computer Engineering and Sciences, University of Texas, Austin, TX, United States, 12radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 13Advanced Imaging Research Center, Oregon Health Sciences University, Portland, OR, United States, 14Radiology and Neurology, University of Washington, Seattle, WA, United States, 15Radiology, Johns Hopkins University, Baltimore, MD, United States, 16Urological Surgery, Medical College of Wisconsin, Milwaukee, WI, United States, 17Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 18Pathology, Chiang Mai University, Chiang Mai, Thailand

This study presents a multi-site study measuring the ability of site-specific diffusion weighted imaging fitting algorithms for differentiating prostate cancer. A dataset of DWI collected from 33 patients and a simulated digital reference object was distributed to thirteen sites who fit the multi-b DWI models with onsite-implemented software. Derived parametric maps were then submitted for central analysis. Each map was aligned to the T2-weighted image, and DWI metrics were extracted from aligned pathologist annotations. A statistical analysis was performed to determine the ability of each metric to differentiate PCA and to determine how fits of simulated data differed between sites.

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