Abstract #3119

Prostate Cancer Classification Using Stretched Exponential Model Parameters of Diffusion Signal Decay

Meltem Uyanik¹, Michael Abern², Brandon Caldwell², Muge Karaman³, Winnie Mar⁴, Virgilia Macias⁵, Xiaohong Joe Zhou^1,3,4,6, and Richard Magin⁷

¹Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, ²Urology, University of Illinois at Chicago, Chicago, IL, United States, ³Center for Magnetic Resonance Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States, ⁴Radiology, University of Illinois at Chicago, Chicago, IL, United States, ⁵Pathology, University of Illinois at Chicago, Cahicago, IL, United States, ⁶Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States, ⁷Richard and Loan Hill Department of Bioengineering, University of Illinois, Chicago, IL, United States

Prostate cancer is a common malignancy among men. Using MRI to discriminating high-grade disease from benign and indolent cancer in the prostate is highly desirable for treatment planning. Single and multi- exponential models of diffusion signal decay in the prostate has proven useful for determining prostate cancer tissue structure. However, classification of cancer grade remains illusive. In this study, we investigate the stretched exponential signal decay model using histology and ROC analysis to determine if it will more accurately characterize aggressive prostate cancer.

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