Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance Imaging.

PURPOSE:The aim of this study was to investigate the prognostic performance of multiparametric magnetic resonance imaging (mpMRI) and Prostate Imaging Reporting and Data System (PIRADS) score in predicting pathologic features in a cohort of patients eligible for active surveillance who underwent rad...

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Main Authors:	Ottavio de Cobelli, Daniela Terracciano, Elena Tagliabue, Sara Raimondi, Danilo Bottero, Antonio Cioffi, Barbara Jereczek-Fossa, Giuseppe Petralia, Giovanni Cordima, Gilberto Laurino Almeida, Giuseppe Lucarelli, Carlo Buonerba, Deliu Victor Matei, Giuseppe Renne, Giuseppe Di Lorenzo, Matteo Ferro
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2015-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC4596627?pdf=render

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http://europepmc.org/articles/PMC4596627?pdf=render

Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance Imaging.

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