Simple Summary Prostate cancer is a global health burden. Multi-parametric magnetic
resonance imaging is the recommended imaging modality for diagnosis. The recommended …

Standard clinicopathological variables are inadequate for optimal management of prostate
cancer patients. While genomic classifiers have improved patient risk classification, the …

Purpose: We sought to 1) assess the association of radiomics features based on
multiparametric magnetic resonance imaging with histopathological Gleason score, gene …

Prostate cancer (PCa) is a pernicious tumor with high heterogeneity, which creates a
conundrum for making a precise diagnosis and choosing an optimal treatment approach …

Prostate cancer exhibits intra-tumoral heterogeneity that we hypothesize to be the leading
confounding factor contributing to the underperformance of the current pre-treatment clinical …

Simple Summary Early diagnosing clinically significant prostate cancer (csPCa) through
Magnetic Resonance Imaging (MRI) is very challenging and, nowadays, csPCa confirmation …

Context Multiparametric magnetic resonance imaging (mpMRI) detects most, but not all,
clinically significant prostate cancer. The genetic basis of prostate cancer visibility and …

Simple Summary In prostate cancer (PCa), an accurate patient risk stratification, as well as
the awareness of a possible biochemical recurrence (BCR) event, are crucial to …

Purpose: Multiparametric magnetic resonance imaging is a diagnostic tool for prostate
cancer with limited data on prognostic use. We sought to determine whether multiparametric …

Radiomics allows the extraction quantitative features from imaging, as imaging biomarkers
of disease. The objective of this exploratory study is to implement a reproducible radiomic …