Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …

The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

Objectives To build a machine learning (ML) model to detect extraprostatic extension (EPE)
of prostate cancer (PCa), based on radiomics features extracted from prostate MRI index …

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage
test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined …

We present the current clinical applications of radiomics in the context of prostate cancer
(PCa) management. Several online databases for original articles using a combination of …

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

Abstract Diffusion-weighted imaging (DWI), a key component in multiparametric MRI
(mpMRI), is useful for tumor detection and localization in clinically significant prostate cancer …

Background To build machine learning predictive models for surgical risk assessment of
extracapsular extension (ECE) in patients with prostate cancer (PCa) before radical …