Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Rationale and Objectives Recurrence of hepatocellular carcinoma (HCC) is a major concern
in its management. Accurately predicting the risk of recurrence is crucial for determining …

Hepatocellular carcinoma (HCC) is the most prevalent primary liver malignancy, accounting
for approximately 90% of all primary liver cancers, with high mortality and a poor prognosis …

Background Radiomics is a rapidly growing field used to leverage medical radiological
images by extracting quantitative features. These are supposed to characterize a patient's …

Background/Objective Early recurrence (ER) affects the long-term survival prognosis of
patients with hepatocellular carcinoma (HCC). Many previous studies have utilized CT/MRI …

Background The morphological attributes could serve as pivotal indicators precipitating
early recurrence and dismal overall survival in hepatocellular carcinoma (HCC), and …

Background The aim of this study was to conduct a systematic review and meta-analysis to
comprehensively evaluate the performance and methodological quality of artificial …

Objective To develop a contrast-enhanced computed tomography (CECT) based radiomics
model using machine learning method and assess its ability of preoperative prediction for …

Objective To compare radiomics and non-radiomics in predicting early recurrence (ER) in
patients with hepatocellular carcinoma (HCC) after curative surgery. Methods We …

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 …