With this review, we aimed to provide a synopsis of recently proposed applications of
machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI) …

Introduction Multiparametric magnetic resonance imaging (mpMRI), the use of three multiple
imaging sequences, typically T2-weighted, diffusion weighted (DWI) and dynamic contrast …

Objectives This study aims to define consensus-based criteria for acquiring and reporting
prostate MRI and establishing prerequisites for image quality. Methods A total of 44 leading …

The steadily increasing demand for diagnostic prostate MRI has led to concerns regarding
the lack of access to and the availability of qualified MRI scanners and sufficiently …

Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a
clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing …

Following detection of high levels of serum prostate-specific antigen, many men are advised
to have transrectal ultrasound-guided biopsy in an attempt to locate a cancer. This …

Context There is a lack of comprehensive data regarding the factors that influence the
diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) to detect and …

Purpose To assess the added value of dynamic contrast-enhanced (DCE) in prostate MR in
clinical practice. Methods Two hundred sixty-four patients underwent prostate MRI, with T2 …

The role of multiparametric MRI (mpMRI) in the detection of prostate cancer is well-
established. Based on the limited role of dynamic contrast enhancement (DCE) in PI-RADS …

Purpose: We evaluated interreader agreement with PI-RADS®(Prostate Imaging Reporting
and Data System) version 2 for detection of prostate cancer. Materials and Methods: We …