OBJECTIVE To investigate whether magnetic resonance imaging (MRI) findings, when
converted into a scoring system, can predict the biochemical recurrence of prostate cancer …

Background: Machine-learning (ML) and radiomics features have been utilized for survival
outcome analysis in various cancers. This study aims to investigate the application of ML …

Purpose To investigate the performance of magnetic resonance imaging (MRI)-based
radiomics models for benign and malignant prostate lesion discrimination and extracapsular …

The use of multiparametric magnetic resonance (MR) imaging in prostate cancer therapy is
increasing, as newer treatment methods and management approaches emerge. The …

Simple Summary Treatment decisions represent a significant dilemma for patients
diagnosed with prostate cancer. The prediction of early treatment failure would inform …

The clinical suspicion of local recurrence of prostate cancer (PCa) after radical
prostatectomy (RP) and after radiation therapy (RT) is based on the onset of biochemical …

Background To determine the added value of preoperative prostate multiparametric MRI
(mpMRI) supplementary to clinical variables and their role in predicting post prostatectomy …

Purpose: To determine the predictive performance of the integrated model based on clinical
factors and radiomic features for the accurate identification of clinically significant prostate …

Objectives To evaluate the added benefit of integrating features from pre-treatment MRI
(radiomics) and digitized post-surgical pathology slides (pathomics) in prostate cancer …

Background For men with clinically localized prostate cancer and candidates to receive
radical prostatectomy (RP) a main concern is a cancer recurrence after treatment. Although …