Multiparametric MRI and radiomics in prostate cancer: a review

Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging
with one or more functional MRI sequences. It has become a versatile tool for detecting and …

Artificial intelligence compared to radiologists for the initial diagnosis of prostate cancer on magnetic resonance imaging: a systematic review and recommendations …

T Syer, P Mehta, M Antonelli, S Mallett, D Atkinson… - Cancers, 2021 - mdpi.com
Simple Summary Radiologists interpret prostate multiparametric magnetic resonance
imaging (mpMRI) to identify abnormalities that may correspond to prostate cancer, whose …

Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis

R Cuocolo, MB Cipullo, A Stanzione, V Romeo… - European …, 2020 - Springer
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 …

Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: preliminary findings from a multi‐institutional study

SB Ginsburg, A Algohary, S Pahwa… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To evaluate in a multi‐institutional study whether radiomic features useful for
prostate cancer (PCa) detection from 3 Tesla (T) multi‐parametric MRI (mpMRI) in the …

Automated classification of significant prostate cancer on MRI: a systematic review on the performance of machine learning applications

JM Castillo T, M Arif, WJ Niessen, IG Schoots… - Cancers, 2020 - mdpi.com
Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep
learning approaches has gained much interest, due to the potential application in assisting …

MR fingerprinting and ADC map** 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) map** can be used to differentiate …

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 …

Textural analysis of multiparametric MRI detects transition zone prostate cancer

HS Sidhu, S Benigno, B Ganeshan, N Dikaios… - European …, 2017 - Springer
Objectives To evaluate multiparametric-MRI (mpMRI) derived histogram textural-analysis
parameters for detection of transition zone (TZ) prostatic tumour. Methods Sixty-seven …

Meta-research: How many diagnostic or prognostic models published in radiological journals are evaluated externally?

M Hameed, J Yeung, D Boone, S Mallett… - European Radiology, 2024 - Springer
Objectives Prognostic and diagnostic models must work in their intended clinical setting,
proven via “external evaluation”, preferably by authors uninvolved with model development …

Differentiation of prostate cancer lesions with high and with low Gleason score by diffusion-weighted MRI

S Barbieri, M Brönnimann, S Boxler, P Vermathen… - European …, 2017 - Springer
Objectives To differentiate prostate cancer lesions with high and with low Gleason score by
diffusion-weighted-MRI (DW-MRI). Methods This prospective study was approved by the …