The high postoperative recurrence rates in hepatocellular carcinoma (HCC) remain a major
hurdle in its management. Appropriate staging and treatment selection may alleviate the …

Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …

Objectives We aimed to construct and validate a radiomics-based nomogram model derived
from gadoxetic acid–enhanced magnetic resonance (MR) images to predict cytokeratin (CK) …

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with an
increasing incidence and poor prognosis. In the past decade, artificial intelligence (AI) …

Simple Summary Hepatocellular carcinoma (HCC) is one of the most prevalent and
devastating malignancies worldwide. An ongoing phase-II clinical trial assesses the efficacy …

Objective Exploring the efficacy of a Radiological-Clinical (Rad-Clinical) model in predicting
prognosis of unresectable hepatocellular carcinoma (HCC) patients after drug eluting beads …

Radiomics is a hot topic in the research on customized oncology treatment, efficacy
evaluation, and tumor prognosis prediction. To achieve the goal of mining the heterogeneity …

BACKGROUND Radiomics is a promising tool that may increase the value of magnetic
resonance imaging (MRI) for different tasks related to the management of patients with …

Introduction: Lenvatinib plus an anti-PD-1 antibody has shown promising antitumor effects in
patients with advanced hepatocellular carcinoma (HCC), but with clinical benefit limited to a …

The concept of magnetic resonance perfusion-diffusion mismatch ( ) provides a practical
and approximate measure of the tissue at risk and has been increasingly applied for the …