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Abstract #3588

Prostate Cancer Classification by Using Mono Exponential, Stretched Exponential and Kurtosis Model Parameters of Diffusion Signal Decay

Meltem Uyanik1,2, Rolf Rieter2, Michael Abern1, Winnie Mar3, Virgilia Macias4, Hari T. Vigneswaran1, and Richard L. Magin2

1Department of Urology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States, 2Richard and Loan Hill Department of Bioengineering, College of Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States

Prostate cancer is the most common solid cancer occurring among men in the US. Diffusion-weighted MR imaging plays a complementary role to T2-weighted images in identifying regional changes in prostate tissue. Here, we fit the diffusion decay signal from patients using the stretched-exponential and the kurtosis models and compare the results with MR guided prostate biopsy histology. Our results showed that the kurtosis and stretched exponential models fit to multi-b values diffusion data have the potential to distinguish benign from malignant lesions. These model parameters identify tissue heterogeneity and structures that may be useful in the grading of prostate cancer.

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