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Abstract #0046

Preoperative Nomograms Incorporating Magnetic Resonance Imaging & Spectroscopy for Prediction of Insignificant Prostate Cancer

Amita Shukla-Dave1, Hedvig Hricak1, Oguz Akin1, Changhong Yu2, Kristen L. Zakian1, Victor Reuter1, Peter T. Scardino1, James Eastham1, Michael W. Kattan2

1Memorial Sloan-Kettering Cancer Center, New York, NY, USA; 2Cleveland Clinic, Cleveland, OH, USA

Many more prostate cancers (PCa) are detected each year. Better methods are needed to predict which patients have insignificant PCa. The aims of the present study were to 1) validate the previously published MR-based nomograms; and 2) design new nomograms incorporating MR Imaging (MRI), MR Spectroscopic Imaging (MRSI) and clinical data without detailed biopsy data for predicting the probability of insignificant PCa. MRI/ MRSI data was examined prospectively in 181 patients studied prior to surgery. We have successfully validated the previously published MR models. The new BaseMRI and BaseMRI/MRSI models after validation may obviate the need for repeat biopsy.