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 …

[HTML][HTML] Machine learning in prostate MRI for prostate cancer: current status and future opportunities

H Li, CH Lee, D Chia, Z Lin, W Huang, CH Tan - Diagnostics, 2022 - mdpi.com
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

PI-RADS version 2.1: one small step for prostate MRI

T Barrett, A Rajesh, AB Rosenkrantz, PL Choyke… - Clinical radiology, 2019 - Elsevier
Multiparametric (mp) prostate magnetic resonance imaging (MRI) is playing an increasingly
prominent role in the diagnostic work-up of patients with suspected prostate cancer …

Prostate cancer detection using deep learning and traditional techniques

S Iqbal, GF Siddiqui, A Rehman, L Hussain… - IEEE …, 2021 - ieeexplore.ieee.org
Prostate cancer (PCa) is a severe type of cancer and causes major deaths among men due
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …

Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

AA Abbasi, L Hussain, IA Awan, I Abbasi, A Majid… - Cognitive …, 2020 - Springer
Prostate Cancer in men has become one of the most diagnosed cancer and also one of the
leading causes of death in United States of America. Radiologists cannot detect prostate …

Comparison of PI-RADS version 2 and PI-RADS version 2.1 for the detection of transition zone prostate cancer

T Tamada, A Kido, M Takeuchi, A Yamamoto… - European journal of …, 2019 - Elsevier
Purpose To compare the diagnostic performance of PI-RADS v2 and v2. 1 for detecting
transition zone prostate cancer (TZPC) on multiparametric prostate MRI (mpMRI). Method …

MR fingerprinting and ADC mapping for characterization of lesions in the transition zone of the prostate gland

A Panda, VC Obmann, WC Lo, S Margevicius, Y Jiang… - Radiology, 2019 - pubs.rsna.org
Background Preliminary studies have shown that MR fingerprinting–based relaxometry
combined with apparent diffusion coefficient (ADC) mapping can be used to differentiate …

Stiffness of benign and malignant prostate tissue measured by shear-wave elastography: a preliminary study

O Rouvière, C Melodelima, A Hoang Dinh, F Bratan… - European …, 2017 - Springer
Objectives To measure benign and malignant prostate tissue stiffness using shear-wave
elastography (SWE). Methods Thirty consecutive patients underwent transrectal SWE in the …

Direct comparison of PI‐RADS version 2 and 2.1 in transition zone lesions for detection of prostate cancer: Preliminary experience

J Byun, KJ Park, M Kim, JK Kim - Journal of Magnetic …, 2020 - Wiley Online Library
Background There appears to be less agreement in the identification of cancers in the
transition zone (TZ), which is not as reliable as those in peripheral zone when using the …

Transition zone prostate cancer: revisiting the role of multiparametric MRI at 3 T

AB Rosenkrantz, S Kim, N Campbell… - American Journal of …, 2015 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to retrospectively evaluate the impact of
multiparametric prostate MRI, including diffusion-weighted imaging (DWI) performed using …