Preoperative prediction of extracapsular extension: radiomics signature based on magnetic resonance imaging to stage prostate cancer

S Ma, H Xie, H Wang, J Yang, C Han, X Wang… - Molecular imaging and …, 2020 - Springer
Purpose To investigate and validate the potential role of a radiomics signature in predicting
the side-specific probability of extracapsular extension (ECE) of prostate cancer (PCa) …

The Development and External Validation of Artificial Intelligence-Driven MRI-Based Models to Improve Prediction of Lesion-Specific Extraprostatic Extension in …

I van den Berg, TFW Soeterik, EJRJ van der Hoeven… - Cancers, 2023 - mdpi.com
Simple Summary The use of artificial intelligence algorithms can improve the prediction of
lesion-specific histopathological extraprostatic extension (EPE) on MRI in prostate cancer …

Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate-and high-risk prostate cancer patients

A Losnegård, LAR Reisæter, OJ Halvorsen… - Acta …, 2020 - journals.sagepub.com
Background To investigate whether magnetic resonance (MR) radiomic features combined
with machine learning may aid in predicting extraprostatic extension (EPE) in high-and non …

Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer

S Krishna, CS Lim, MDF McInnes… - Journal of Magnetic …, 2018 - Wiley Online Library
Purpose To assess the ability of magnetic resonance imaging (MRI) to diagnose
extraprostatic extension (EPE) in prostate cancer. Materials and Methods With Institutional …

[HTML][HTML] Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy

GS Gaunay, V Patel, P Shah, D Moreira… - Asian journal of …, 2017 - Elsevier
Objective Extracapsular extension (ECE) of prostate cancer is a poor prognostic factor
associated with progression, recurrence after treatment, and increased prostate cancer …

mEPE-score: a comprehensive grading system for predicting pathologic extraprostatic extension of prostate cancer at multiparametric magnetic resonance imaging

M Gatti, R Faletti, F Gentile, E Soncin, G Calleris… - European …, 2022 - Springer
Objective To investigate the diagnostic accuracy of the PI-RADS v2. 1 multiparametric
magnetic resonance imaging (mpMRI) features in predicting extraprostatic extension …

MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review

LF Calimano-Ramirez, MK Virarkar, M Hernandez… - Abdominal …, 2023 - Springer
Purpose Prediction of extraprostatic extension (EPE) is essential for accurate surgical
planning in prostate cancer (PCa). Radiomics based on magnetic resonance imaging (MRI) …

Multiparametric MRI improves accuracy of clinical nomograms for predicting extracapsular extension of prostate cancer

TS Feng, AR Sharif-Afshar, J Wu, Q Li, D Luthringer… - Urology, 2015 - Elsevier
Objective To compare the accuracy of multiparametric magnetic resonance imaging (MP-
MRI) with the Partin tables and Memorial Sloan-Kettering (MSK) nomogram for predicting …

Multiparametric MRI for staging of prostate cancer: a multicentric analysis of predictive factors to improve identification of extracapsular extension before radical …

M Triquell, L Regis, M Winkler, N Valdés, M Cuadras… - Cancers, 2022 - mdpi.com
Simple Summary In this multicentric study, we tested the accuracy of multiparametric
magnetic resonance imaging (mpMRI) in detecting extracapsular extension (ECE) out of the …

Imaging features of the PI-RADS for predicting extraprostatic extension of prostate cancer: systematic review and meta-analysis

MH Choi, DH Kim, YJ Lee, SE Rha, JY Lee - Insights into Imaging, 2023 - Springer
Objectives To systematically determine the diagnostic performance of each MRI feature of
the PI-RADS for predicting extraprostatic extension (EPE) in prostate cancer. Methods A …