Purpose To investigate the efficiency of radiomics signature in discriminating between
benign and malignant prostate lesions with similar biparametric magnetic resonance …

The purpose of this study was to develop Bi-parametric Magnetic Resonance Imaging (BP-
MRI) based radiomics models for differentiation between benign and malignant prostate …

Background To evaluate the potential of clinical-based model, a biparametric MRI-based
radiomics model and a clinical-radiomics combined model for predicting clinically significant …

Purpose. This study aimed to investigate the value of biparametric magnetic resonance
imaging (bp‐MRI)‐based radiomics signatures for the preoperative prediction of prostate …

Radiomics is an emerging field of image analysis with potential applications in patient risk
stratification. This study developed and evaluated machine learning models using …

Background Gleason score (GS) is a histologic prognostic factor and the basis of treatment
decision‐making for prostate cancer (PCa). Treatment regimens between lower‐grade …

Objective: To develop and validate a non-invasive MRI-based radiomics signature for
distinguishing between indolent and aggressive prostate cancer (PCa) prior to therapy …

Purpose To determine the predictive performance of the integrated model based on clinical
factors and radiomic features for the accurate identification of clinically significant prostate …

Purpose To compare the performance of radiomics to that of the Prostate Imaging Reporting
and Data System (PI-RADS) v2. 1 scoring system in the detection of clinically significant …

Purpose To investigate the predictive performance of the combined model by integrating
clinical variables and radiomic features for the accurate detection of prostate cancer (PCa) in …