Studies were identified using deep learning artificial intelligence methods for the analysis of
computed tomography images in the assessment of hepatic fibrosis and cirrhosis. A …

Chronic liver disease is responsible for significant morbidity and mortality worldwide.
Abdominal computed tomography (CT) and magnetic resonance imaging (MRI) can fully …

BACKGROUND Liver stiffness (LS) measurement with two-dimensional shear wave
elastography (2D-SWE) correlates with the degree of liver fibrosis and thus indirectly reflects …

Rationale and Objectives To explore the value of splenic hemodynamic parameters from low-
dose one-stop dual-energy and perfusion CT (LD-DE&PCT) in non-invasively predicting …

Purpose To evaluate the diagnostic performance of radiomics models derived from multi-
phase spleen CT for high-risk esophageal varices (HREV) in cirrhotic patients. Methods We …

Background We aimed to explore the risk factors for hemorrhage of esophagogastric varices
(EGVs) in patients with hepatitis B cirrhosis and to construct a novel nomogram model based …

Background & aims Various hepatocellular carcinoma (HCC) prediction models have been
proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to …

The past two decades have seen a significant increase in the use of CT, with a
corresponding rise in the mean population radiation dose. This rise in CT use has caused …

Objectives The objective of our study was to develop a nomogram to predict post-
transjugular intrahepatic portosystemic shunt (TIPS) survival in patients with cirrhosis based …

In this article, we discuss the study by Cheng et al, published in the World Journal of
Gastroenterology, focusing on predictive methods for post-hepatectomy liver failure (PHLF) …