Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI

Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI

In the last years, several studies demonstrated that low-aggressive (Grade Group (GG) ≤ 2) and high-aggressive (GG ≥ 3) prostate cancers (PCas) have different prognoses and mortality. Therefore, the aim of this study was to develop and externally validate a radiomic model to noninvasively classify l...

Full description

Bibliographic Details
Main Authors: Giulia Nicoletti, Simone Mazzetti, Giovanni Maimone, Valentina Cignini, Renato Cuocolo, Riccardo Faletti, Marco Gatti, Massimo Imbriaco, Nicola Longo, Andrea Ponsiglione, Filippo Russo, Alessandro Serafini, Arnaldo Stanzione, Daniele Regge, Valentina Giannini
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Cancers
Subjects:
radiomics
prostate cancer
magnetic resonance imaging
feature extraction
explainable artificial intelligence
tumor aggressiveness
Online Access:https://www.mdpi.com/2072-6694/16/1/203

Internet

https://www.mdpi.com/2072-6694/16/1/203

Similar Items