Background Advances in imaging technology have the potential to transform the early
diagnosis and treatment of hepatocellular carcinoma (HCC) through quantitative image …

Objective To assess the value of qualitative and quantitative MRI radiomics features for
noninvasive prediction of immuno-oncologic characteristics and outcomes of hepatocellular …

Background Preoperative prediction of early recurrence (ER) of hepatocellular carcinoma
(HCC) plays a critical role in individualized risk stratification and further treatment guidance …

Background Hepatocellular carcinoma (HCC) is associated with a dismal prognosis, and
prediction of the prognosis of HCC can assist in therapeutic decision-makings. An …

Radiomics contributes to the extraction of undetectable features with the naked eye from
high-throughput quantitative images. In this study, 2 predictive models were constructed …

Background We aimed to develop and validate a nomogram combining bi-regional
radiomics features from multimodal magnetic resonance imaging (MRI) and …

Objective To develop a radiomics nomogram for predicting microvascular invasion (MVI)
before surgery in hepatocellular carcinoma (HCC) patients. Materials and Methods The data …

Histopathologic grade of hepatocellular carcinoma (HCC) is an important predictor of early
recurrence and poor prognosis after curative treatments. This study aims to develop a …

Abstract Background Nuclear protein Ki-67 indicates the status of cell proliferation and has
been regarded as an attractive biomarker for the prognosis of HCC. The aim of this study is …

Objectives To investigate the value of contrast-enhanced computer tomography (CT)-based
on radiomics in discriminating high-grade and low-grade hepatocellular carcinoma (HCC) …