Objective To construct a prediction model based on peritumoral radiomics signatures from
CT images and investigate its efficiency in predicting early recurrence (ER) of hepatocellular …

Background Predicting early recurrence (ER) after radical therapy for HCC patients is critical
for the decision of subsequent follow-up and treatment. Radiomic features derived from the …

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 …

Objective To investigate the efficacy of contrast-enhanced computed tomography (CECT)–
based radiomics signatures for preoperative prediction of pathological grades of …

Objectives The study developed and validated a radiomics nomogram based on a
combination of computed tomography (CT) radiomics signature and clinical factors and …

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

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

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

Background Recurrence is the major cause of mortality in patients with resected HCC.
However, without a standard approach to evaluate prognosis, it is difficult to select …

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