Multiparametric magnetic resonance imaging and clinical variables: Which is the best combination to predict reclassification in active surveillance patients?

Multiparametric magnetic resonance imaging and clinical variables: Which is the best combination to predict reclassification in active surveillance patients?

Introduction & objectives: We tested the role of multiparametric magnetic resonance imaging (mpMRI) in disease reclassification and whether the combination of mpMRI and clinicopathological variables could represent the most accurate approach to predict the risk of reclassification during act...

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Bibliographic Details
Main Authors: Marco Roscigno, Armando Stabile, Giovanni Lughezzani, Pietro Pepe, Lucio Dell’Atti, Angelo Naselli, Richard Naspro, Maria Nicolai, Giovanni La Croce, Aljoulani Muhannad, Giovanna Perugini, Giorgio Guazzoni, Francesco Montorsi, Luca Balzarini, Sandro Sironi, Luigi F. Da Pozzo
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Prostate International
Subjects:
Active surveillance
Magnetic resonance imaging
MRI-TRUS fusion
Prostate cancer
Prostate biopsy
Online Access:http://www.sciencedirect.com/science/article/pii/S2287888220300313

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http://www.sciencedirect.com/science/article/pii/S2287888220300313

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