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Abstract #0784

Which DCE MRI Parameter Provides the Best Discrimination Between Prostate Cancer and Benign Tissue?

Louisa Bokacheva1, Kiran Sheikh1, Henry Rusinek1, Artem Mikheev1, Danny Kim1, Xiangtian Kong2, Jonathan Melamed2, Bachir Taouli1

1Department of Radiology, New York University School of Medicine, New York, NY, USA; 2Department of Pathology, New York University Langone Medical Center, New York, NY, USA

Dynamic contrast-enhanced (DCE) MRI has shown promise for discrimination of prostate cancer from normal prostatic tissue. We compare three published methods of DCE analysis: maximum wash-in rate of contrast, two-compartment Tofts model, and distributed parameters model (adiabatic approximation to tissue homogeneity, AATH model), and assess their ability to distinguish prostate cancer from noncancerous tissue.