Background While Prostate Imaging Reporting and Data System (PI‐RADS) 4 and 5 lesions
typically warrant prostate biopsy and PI‐RADS 1 and 2 lesions may be safely observed, PI …

Objective The purpose was to review the diagnostic performance of the length of tumor
capsular contact (LCC) on magnetic resonance imaging (MRI) for detecting prostate cancer …

Purpose Contouring intraprostatic lesions is a prerequisite for dose‐escalating these lesions
in radiotherapy to improve the local cancer control. In this study, a deep learning‐based …

Background Several deep learning‐based techniques have been developed for prostate
cancer (PCa) detection using multiparametric magnetic resonance imaging (mpMRI), but …

Objectives The aim of this study was to systematically review the literature and perform a
meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically …

Background Deep learning is the most promising methodology for automatic computer‐
aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp‐MRI). Purpose To …

Purpose To compare biparametric MRI (bpMRI) with multiparametric MRI (mpMRI) staging
accuracy in assessing extracapsular extension (ECE) and seminal vesicle invasion (SVI) …

Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied
heavily in the past years. Model interpretation and domain drift have been the main road …

Rationale and Objectives Extraprostatic extension of disease (EPE) has a major role in risk
stratification of prostate cancer patients. Currently, pretreatment local staging is performed …

Abstract Objectives PSMA PET/MRI showed the potential to increase the sensitivity for
extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability …