Physiological properties of tumors can be measured both in vivo and noninvasively by
diffusion‐weighted imaging and dynamic contrast‐enhanced magnetic resonance imaging …

Noninvasive, radiological image-based detection and stratification of Gleason patterns can
impact clinical outcomes, treatment selection, and the determination of disease status at …

Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean
apparent diffusion coefficient (ADC), and radiologist assessment for characterization of …

Background: Novel radiomic features are enabling the extraction of biological data from
routine sequences of MRI images. This study's purpose was to establish a new model …

Purpose: We sought to 1) assess the association of radiomics features based on
multiparametric magnetic resonance imaging with histopathological Gleason score, gene …

OBJECTIVE. Despite a substantial increase in the use of MRI for pretreatment evaluation of
prostate cancer, its prognostic value in patients undergoing radiation therapy (RT) is not well …

Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important
for the clinical assessment of prostate cancer (PCa), but its interpretation is generally …

Objective To evaluate the ability of preoperative multiparametric magnetic resonance
imaging (mpMRI) and a gallium‐68 prostate‐specific membrane antigen positron emission …

Purpose To compare the variability, precision, and accuracy of six different algorithms
(Levenberg–Marquardt, Trust‐Region, Fixed‐Dp, Segmented‐Unconstrained, Segmented …

Purpose: Use of quantitative imaging features and encoding the intra-tumoral heterogeneity
from multi-parametric magnetic resonance imaging (mpMRI) for the prediction of Gleason …