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) …

Background Radiomics approaches based on multiparametric MRI (mp‐MRI) have shown
high accuracy in prostate cancer (PCa) management. However, there is a need to apply …

Background To construct a model based on magnetic resonance imaging (MRI) features
and histological and clinical variables for the prediction of pathology-detected extracapsular …

Background Preoperative prediction of extracapsular extension (ECE) of prostate cancer
(PCa) is important to guide clinical decision‐making and improve patient prognosis …

Purpose To improve the performation of a nomogram for predicting side-specific
extracapsular extension (SS-ECE). Results One hundred and ninety-six patients (55.5%) …

Background: To develop a radiomics model based on multiparametric MRI (mpMRI) for
preoperative prediction of extraprostatic extension (EPE) in patients with prostate cancer …

Purpose To investigate the performance of magnetic resonance imaging (MRI)-based
radiomics models for benign and malignant prostate lesion discrimination and extracapsular …

Background To investigate whether magnetic resonance (MR) radiomic features combined
with machine learning may aid in predicting extraprostatic extension (EPE) in high-and non …

Purpose A balance between preserving urinary continence as well as sexual potency and
achieving negative surgical margins is of clinical relevance while implementary difficulty …

Purpose Prediction of extraprostatic extension (EPE) is essential for accurate surgical
planning in prostate cancer (PCa). Radiomics based on magnetic resonance imaging (MRI) …