The purpose of this study was to identify the optimal tracer kinetic model from T1‐weighted
dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) data and evaluate …

Objective To investigate the ability of a multimodality MRI-based radiomics model in
predicting the aggressiveness of papillary thyroid carcinoma (PTC). Methods This study …

Purpose To investigate the predictive capability of machine learning-based multiparametric
magnetic resonance (MR) imaging radiomics for evaluating the aggressiveness of papillary …

Purpose To compare predictive efficiency of multiple classifiers modeling and establish a
combined magnetic resonance imaging (MRI) radiomics model for identifying lymph node …

Background: Initial management recommendations of papillary thyroid carcinoma (PTC) are
very dependent on preoperative studies designed to evaluate the presence of PTC with …

Rationale and Objectives To evaluate whether quantitative diffusion-weighted MR imaging
(DWI) with multi-b values can be used as a tool to predict the aggressiveness by using the …

Magnetic resonance imaging in the prediction of aggressive h... : Medicine Magnetic resonance
imaging in the prediction of aggressive histological features in papillary thyroid carcinoma …

Background The aim of the present study was to develop a magnetic resonance imaging
(MRI) radiomics model and evaluate its clinical value in predicting preoperative lymph node …

Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer.
PTC patients with extrathyroidal extension (ETE) are associated with poor prognoses. The …

Background To determine the predictive capability of MRI-based radiomics for extrathyroidal
extension detection in papillary thyroid cancer (PTC) pre-surgically. Methods The present …