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.