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.