Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Objectives Extraprostatic extension (EPE) of prostate cancer (PCa) is predicted using clinical
nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and …

Objectives This study aims to develop and evaluate multiparametric MRI (MP-MRI)-based
radiomic models as a noninvasive diagnostic method to predict several biological …

Purpose In recent decades, diverse nomograms have been proposed to predict
extraprostatic extension (EPE) in prostate cancer (PCa). We aimed to systematically …

Simple Summary The huge armamentarium of currently available theragnostic modalities
allows a novel approach to prostate cancer from imaging to therapy. Clinical examination is …

Simple Summary The use of radiomics has been studied to predict Gleason Score from bi-
parametric prostate MRI examinations. However, different combinations of type of input data …

(1) Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic
tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the …

Introduction This study aims to develop an imaging model based on multi-parametric MR
images for distinguishing between prostate cancer (PCa) and prostate hyperplasia. Methods …

Prostate cancer detection with magnetic resonance imaging is based on a standardized MRI-
protocol according to the PI-RADS guidelines including morphologic imaging, diffusion …