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 active...

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Detalles Bibliográficos
Autores principales: Roscigno, Marco, Stabile, Armando, Lughezzani, Giovanni, Pepe, Pietro, Dell’Atti, Lucio, Naselli, Angelo, Naspro, Richard, Nicolai, Maria, La Croce, Giovanni, Muhannad, Aljoulani, Perugini, Giovanna, Guazzoni, Giorgio, Montorsi, Francesco, Balzarini, Luca, Sironi, Sandro, Da Pozzo, Luigi F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian Pacific Prostate Society 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767935/
https://www.ncbi.nlm.nih.gov/pubmed/33425794
http://dx.doi.org/10.1016/j.prnil.2020.05.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767935/
https://www.ncbi.nlm.nih.gov/pubmed/33425794
http://dx.doi.org/10.1016/j.prnil.2020.05.003

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