A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

In this Perspective paper we explore the potential of integrating radiological imaging with
other data types, a critical yet underdeveloped area in comparison to the fusion of other multi …

The role of prostate-specific membrane antigen (PSMA)–targeted PET in comparison to
multiparametric MRI (mpMRI) in the evaluation of intraprostatic cancer foci is not well …

Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …

Automated methods for detecting prostate cancer and distinguishing indolent from
aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis …

Image registration can map the ground truth extent of prostate cancer from histopathology
images onto MRI, facilitating the development of machine learning methods for early …

Micro-ultrasound has recently been introduced as a low-cost alternative to multi-parametric
MRI for imaging prostate cancer. Early clinical studies have demonstrated promising results; …

Purpose: Oncologic efficacy of focal therapies in prostate cancer depends heavily on
accurate tumor size estimation. We aim to evaluate the agreement between radiologic tumor …

Abstract Three-dimensional (3D) printed prostate cancer models are an emerging adjunct
for urological surgical planning and patient education, however published methods are …

Background Microstructural MRI has the potential to improve diagnosis and characterization
of prostate cancer (PCa), but validation with histopathology is lacking. Purpose To validate …