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 …
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 …
E Karanasios, I Caglic, JP Zawaideh… - The British Journal of …, 2022 - academic.oup.com
Objective: To assess the reproducibility and impact of prostate imaging quality (PI-QUAL) scores in a clinical cohort undergoing prostate multiparametric MRI. Methods: PI-QUAL …
Objectives We systematically reviewed the current literature evaluating the ability of fully- automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …
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 …
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: Prostate cancer (PCa) influences its surrounding habitat, which tends to manifest as different phenotypic appearances on magnetic resonance imaging (MRI). This …
NL Hansen, T Barrett, T Lloyd, A Warren… - BJU …, 2020 - Wiley Online Library
Objectives To assess cancer detection rates of different target‐dependent transperineal magnetic resonance (MR)/ultrasonography (US) fusion‐guided biopsy templates with …