Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2

B Turkbey, AB Rosenkrantz, MA Haider, AR Padhani… - European urology, 2019 - Elsevier
Abstract The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) was
developed with a consensus-based process using a combination of published data, and …

Head-to-head comparison between biparametric and multiparametric MRI for the diagnosis of prostate cancer: a systematic review and meta-analysis

S Woo, CH Suh, SY Kim, JY Cho… - American Journal of …, 2018 - Am Roentgen Ray Soc
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 …

Comparison of biparametric and multiparametric mri for clinically significant prostate cancer detection with PI‐RADS version 2.1

T Tamada, A Kido, A Yamamoto… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Biparametric MRI (bpMRI) without dynamic contrast‐enhanced MRI (DCE‐MRI)
results in an elimination of adverse events, shortened examination time, and reduced costs …

A novel deep learning based computer-aided diagnosis system improves the accuracy and efficiency of radiologists in reading biparametric magnetic resonance …

DJ Winkel, A Tong, B Lou, A Kamen… - Investigative …, 2021 - journals.lww.com
Objective The aim of this study was to evaluate the effect of a deep learning based computer-
aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in …

Deep learning super-resolution reconstruction for fast and motion-robust T2-weighted prostate MRI

LM Bischoff, JM Peeters, L Weinhold, P Krausewitz… - Radiology, 2023 - pubs.rsna.org
Background Deep learning (DL) reconstructions can enhance image quality while
decreasing MRI acquisition time. However, DL reconstruction methods combined with …

Abbreviated MRI protocols for the abdomen

R Canellas, AB Rosenkrantz, B Taouli, E Sala… - Radiographics, 2019 - pubs.rsna.org
Technical advances in MRI have improved image quality and have led to expanding clinical
indications for its use. However, long examination and interpretation times, as well as higher …

T2 mapping in prostate cancer

J Mai, M Abubrig, T Lehmann, T Hilbert… - Investigative …, 2019 - journals.lww.com
Objectives The aim of the study was to determine the quantitative T2 values in prostate
tissue and evaluate them for detection and grading of prostate cancer. Materials and …

Autonomous detection and classification of PI-RADS lesions in an MRI screening population incorporating multicenter-labeled deep learning and biparametric …

DJ Winkel, C Wetterauer, MO Matthias, B Lou, B Shi… - Diagnostics, 2020 - mdpi.com
Background: Opportunistic prostate cancer (PCa) screening is a controversial topic.
Magnetic resonance imaging (MRI) has proven to detect prostate cancer with a high …

Fast T2‐weighted imaging with deep learning‐based reconstruction: evaluation of image quality and diagnostic performance in patients undergoing radical …

JC Park, KJ Park, MY Park, M Kim… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Deep learning‐based reconstruction (DLR) can potentially improve image
quality by reduction of noise, thereby enabling fast acquisition of magnetic resonance …

Diagnostic protocols in oncology: Workup and treatment planning. Part 2: Abbreviated MR protocol

V Granata, G Bicchierai, R Fusco, D Cozzi… - European Review for …, 2021 - ricerca.uniba.it
: Magnetic resonance imaging (MRI) is a non-invasive imaging technique (non-ionizing
radiation) with superior soft tissue contrasts and potential morphological and functional …