Radiomics is a promising and fast-developing field within oncology that involves the mining
of quantitative high-dimensional data from medical images. Radiomics has the potential to …

Objectives To systematically review current research applications of radiomics in patients
with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies …

Objectives To measure the performance and variability of a radiomics-based model for the
prediction of microvascular invasion (MVI) and survival in patients with resected …

Objectives The purpose of this study is to establish microvascular invasion (MVI) prediction
models based on preoperative contrast-enhanced ultrasound (CEUS) and ethoxybenzyl …

Given the frequent co-existence of an aggressive tumor and underlying chronic liver
disease, the management of hepatocellular carcinoma (HCC) patients requires experienced …

Objective To conduct an overview of meta-analyses of radiomics studies assessing their
study quality and evidence level. Methods A systematical search was updated via peer …

Rationale and Objectives To explore both an intratumoral heterogeneity (ITH) model based
on habitat analysis and a deep learning (DL) model based on contrast-enhanced magnetic …

Purpose To examine the methodological quality of radiomics-related studies and evaluate
the ability of radiomics to predict treatment response to transarterial chemoembolization …

Simple Summary The poor prognosis of advanced hepatocellular carcinoma (HCC)
warrants a personalized approach. Our objective was to assess the value of imaging …

Radiomics allows the extraction of quantitative imaging features from clinical magnetic
resonance imaging (MRI) and computerized tomography (CT) studies. The advantages of …