Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of
prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to …

Background Prediction of side-specific extraprostatic extension (EPE) is crucial in selecting
patients for nerve-sparing radical prostatectomy (RP). Multiple nomograms, which include …

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. The objective of our study was to evaluate the value of the apparent diffusion
coefficient (ADC) from diffusion-weighted imaging (DWI) as a predictor of extracapsular …

Objective To develop and validate a multimodal MRI-based radiomics nomogram for
predicting clinically significant prostate cancer (CS-PCa). Methods Patients who underwent …

Purpose To develop and test radiomics models based on manually corrected or
automatically gained masks on ADC maps for pelvic lymph node metastasis (PLNM) …

Purpose To develop machine learning-based radiomics models derive from different MRI
sequences for distinction between benign and malignant PI-RADS 3 lesions before …

Multiparametric magnetic resonance imaging (mpMRI) is increasingly used in staging early
prostate cancer (PCa) but remains heavily reader-dependent. We aim to define the …

Background Accurate identification of pelvic lymph node metastasis (PLNM) in patients with
prostate cancer (PCa) is crucial for determining appropriate treatment options. Here, we built …

Objective To develop and validate a noninvasive radiomic-based machine learning (ML)
model to identify P504s/P63 status and further achieve the diagnosis of prostate cancer …