Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features.

Background: The aim of our study was to develop a radiomic tool for the prediction of clinically significant prostate cancer. Methods: From September 2020 to December 2021, 91 patients who underwent magnetic resonance imaging prostate fusion biopsy at our institution were selected. Prostate cancer a...

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Publicado en:	Current Oncology Vol. 30; no. 2; pp. 2021 - 2032
Autores principales:	Prata, Francesco, Anceschi, Umberto, Cordelli, Ermanno, Faiella, Eliodoro, Civitella, Angelo, Tuzzolo, Piergiorgio, Iannuzzi, Andrea, Ragusa, Alberto, Esperto, Francesco, Prata, Salvatore Mario, Sicilia, Rosa, Muto, Giovanni, Grasso, Rosario Francesco, Scarpa, Roberto Mario, Soda, Paolo, Simone, Giuseppe, Papalia, Rocco
Formato:	Journal Article
Publicado:	MDPI Feb2023
Acceso en línea:	Ver este registro en EBSCOhost