Head-to-head comparison between biparametric and multiparametric MRI for the diagnosis of prostate cancer: a systematic review and meta-analysis
OBJECTIVE. The purpose of this study was to perform a systematic review and meta-
analysis of a head-to-head comparison between the performance of biparametric MRI …
analysis of a head-to-head comparison between the performance of biparametric MRI …
Active surveillance for prostate cancer: current evidence and contemporary state of practice
JJ Tosoian, HB Carter, A Lepor, S Loeb - Nature Reviews Urology, 2016 - nature.com
Prostate cancer remains one of the most commonly diagnosed malignancies worldwide.
Early diagnosis and curative treatment seem to improve survival in men with unfavourable …
Early diagnosis and curative treatment seem to improve survival in men with unfavourable …
Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the society of abdominal radiology prostate cancer disease …
AC Westphalen, CE McCulloch, JM Anaokar, S Arora… - Radiology, 2020 - pubs.rsna.org
Background Prostate MRI is used widely in clinical care for guiding tissue sampling, active
surveillance, and staging. The Prostate Imaging Reporting and Data System (PI-RADS) …
surveillance, and staging. The Prostate Imaging Reporting and Data System (PI-RADS) …
Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment
Background Men suspected of having clinically significant prostate cancer (sPC)
increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic …
increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic …
[HTML][HTML] Weakly-supervised convolutional neural networks for multimodal image registration
One of the fundamental challenges in supervised learning for multimodal image registration
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a …
is the lack of ground-truth for voxel-level spatial correspondence. This work describes a …
[HTML][HTML] Prostate imaging-reporting and data system steering committee: PI-RADS v2 status update and future directions
AR Padhani, J Weinreb, AB Rosenkrantz, G Villeirs… - European urology, 2019 - Elsevier
Abstract Context The Prostate Imaging-Reporting and Data System (PI-RADS) v2 analysis
system for multiparametric magnetic resonance imaging (mpMRI) detection of prostate …
system for multiparametric magnetic resonance imaging (mpMRI) detection of prostate …
What are we missing? False-negative cancers at multiparametric MR imaging of the prostate
Purpose To characterize clinically important prostate cancers missed at multiparametric
(MP) magnetic resonance (MR) imaging. Materials and Methods The local institutional …
(MP) magnetic resonance (MR) imaging. Materials and Methods The local institutional …
[HTML][HTML] Prostate magnetic resonance imaging interpretation varies substantially across radiologists
Background Multiparametric magnetic resonance imaging (mpMRI) interpreted by experts is
a powerful tool for diagnosing prostate cancer. However, the generalizability of published …
a powerful tool for diagnosing prostate cancer. However, the generalizability of published …
Radiomic machine learning for characterization of prostate lesions with MRI: comparison to ADC values
D Bonekamp, S Kohl, M Wiesenfarth, P Schelb… - Radiology, 2018 - pubs.rsna.org
Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean
apparent diffusion coefficient (ADC), and radiologist assessment for characterization of …
apparent diffusion coefficient (ADC), and radiologist assessment for characterization of …
The value of PSA density in combination with PI-RADS™ for the accuracy of prostate cancer prediction
Purpose: Multiparametric magnetic resonance imaging has an emerging role in prostate
cancer diagnostics. In addition, clinical information is a reliable predictor of significant …
cancer diagnostics. In addition, clinical information is a reliable predictor of significant …