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 Cao^4,5, Andrey Fedorov⁶, Laura C Bell⁷, Chad Quarles⁷, Melissa A Prah², Kathleen M Schmainda², Stefanie Hectors⁸, Bachir Taouli⁸, Eve LoCastro⁹, Yousef Mazaheri^9,10, Amita Shukla-Dave^9,10, 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 Palanghmonthip^17,18, 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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