Promising Results About the Possibility to Identify Prostate Cancer Patients Employing a Random Forest Classifier: A Preliminary Study Preoperative Patients Selection

<b>Objective</b>: This study evaluates the accuracy of a Machine Learning model of Random Forest (RF) type, using MRI data and radiomic features to predict lymph node involvement in prostate cancer (PCa). <b>Methods</b>: Ninety-five patients who underwent mp-MRI, prostatectom...

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Bibliographic Details

Published in:	Diagnostics
Main Authors:	Eliodoro Faiella, Matteo Pileri, Raffaele Ragone, Anna Maria De Nicola, Bruno Beomonte Zobel, Rosario Francesco Grasso, Domiziana Santucci
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	prostate cancer lymph node involvement multiparametric MRI artificial intelligence radiomics Random Forest model
Online Access:	https://www.mdpi.com/2075-4418/15/4/421