Background Early stage hepatocellular carcinoma (HCC) is the ideal candidate for resection
in patients with preserved liver function; however, cancer will recur in half of these patients …

Purpose To develop a CT-based radiomics signature and assess its ability for preoperatively
predicting the early recurrence (≤ 1 year) of hepatocellular carcinoma (HCC). Methods A …

Background The present study constructed and validated the use of contrast‐enhanced
computed tomography (CT)‐based radiomics to preoperatively predict microvascular …

Background Current guidelines recommend surgical resection as the first-line option for
patients with solitary hepatocellular carcinoma (HCC); unfortunately, postoperative …

Purpose To test the technical reproducibility of acquisition and scanners of CT image-based
radiomics model for early recurrent hepatocellular carcinoma (HCC). Methods We included …

Background This study was performed to prospectively develop and validate a radiomics
nomogram for predicting postoperative early recurrence (≤ 1 year) of hepatocellular …

Objective To evaluate the performance of a deep learning (DL)-based radiomics strategy on
contrast-enhanced computed tomography (CT) to predict microvascular invasion (MVI) …

Background Prediction of microvascular invasion (MVI) may help determine treatment
strategies for hepatocellular carcinoma (HCC). Purpose To develop a radiomics approach …

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

The focus of hepatocellular carcinoma (HCC) research for many years has been on
noninvasive diagnosis. Standardized systematic algorithms composed of combinations of …