Radiomics and prostate MRI: current role and future applications

G Cutaia, G La Tona, A Comelli, F Vernuccio… - Journal of …, 2021 - mdpi.com
Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage
test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined …

A risk model for detecting clinically significant prostate cancer based on bi-parametric magnetic resonance imaging in a Japanese cohort

K Sakaguchi, M Hayashida, N Tanaka, S Oka… - Scientific Reports, 2021 - nature.com
Selective identification of men with clinically significant prostate cancer (sPC) is a pivotal
issue. Development of a risk model for detecting sPC based on the prostate imaging …

Evaluation of multiparametric magnetic resonance imaging in detection and prediction of prostate cancer

R Wang, H Wang, C Zhao, J Hu, Y Jiang, Y Tong, T Liu… - PloS one, 2015 - journals.plos.org
Background Although European Society of Urogenital Radiology proposed the potential of
multiparametric magnetic resonance imaging (MP-MRI) as a tool in the diagnostic pathway …

MRI grading for the prediction of prostate cancer aggressiveness

M Boschheidgen, L Schimmöller, C Arsov, F Ziayee… - European …, 2021 - Springer
Objectives To evaluate the value of multiparametric MRI (mpMRI) for the prediction of
prostate cancer (PCA) aggressiveness. Methods In this single center cohort study …

An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of …

A Hiremath, R Shiradkar, P Fu, A Mahran… - The Lancet Digital …, 2021 - thelancet.com
Summary Background Biparametric MRI (comprising T2-weighted MRI and apparent
diffusion coefficient maps) is increasingly being used to characterise prostate cancer …

Evaluation of an automated analysis tool for prostate cancer prediction using multiparametric magnetic resonance imaging

MC Roethke, TH Kuru, MB Mueller-Wolf, E Agterhuis… - PLoS …, 2016 - journals.plos.org
Objective To evaluate the diagnostic performance of an automated analysis tool for the
assessment of prostate cancer based on multiparametric magnetic resonance imaging …

Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI

B Liu, J Cheng, DJ Guo, XJ He, YD Luo, Y Zeng, CM Li - Clinical radiology, 2019 - Elsevier
AIM To investigate whether the combination of radiomics and automatic machine learning-
based classification of original images from multiphase dynamic contrast-enhanced (DCE) …

Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC

KS Zhang, P Schelb, S Kohl, JP Radtke… - Magnetic resonance …, 2021 - Elsevier
Background Currently, interpretation of prostate MRI is performed qualitatively. Quantitative
assessment of the mean apparent diffusion coefficient (mADC) is promising to improve …

Multiparametric MRI‐Based Radiomics for Prostate Cancer Screening With PSA in 4–10 ng/mL to Reduce Unnecessary Biopsies

Y Qi, S Zhang, J Wei, G Zhang, J Lei… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Whether men with a prostate‐specific antigen (PSA) level of 4–10 ng/mL should
be recommended for a biopsy is clinically challenging. Purpose To develop and validate a …

Prostate cancer local staging using biparametric MRI: assessment and comparison with multiparametric MRI

C Christophe, S Montagne, S Bourrelier… - European Journal of …, 2020 - Elsevier
Purpose The value of adding dynamic contrast-enhanced (DCE) imaging to T2-weighted
(T2W) magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) to improve …