Hepatocellular carcinoma (HCC) is the leading cause of deaths in cirrhotic patients and the
third cause of cancer related deaths. Most HCC are associated with well known underlying …

Purpose To investigate diagnostic performance by using a deep learning method with a
convolutional neural network (CNN) for the differentiation of liver masses at dynamic …

Hepatocellular carcinoma (HCC) is the fifth most commonly occurring cancer in Korea and
typically has a poor prognosis with a 5-year survival rate of only 28.6%. Therefore, it is of …

Contrast-enhanced ultrasound (CEUS) is a specific form of ultrasound imaging performed
with intravenous administration of microbubble contrast agents. It has been extensively used …

Purpose To determine in a large multicenter multireader setting the interreader reliability of
Liver Imaging Reporting and Data System (LI-RADS) version 2014 categories, the major …

Background Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related
mortality in Taiwan. To help clinical physicians to manage patients with HCC, the Taiwan …

Purpose To determine the effectiveness of liver reporting and data system (LI-RADS) to
diagnose hepatocellular carcinoma (HCC) and to retrospectively evaluate its impact on the …

Objectives To evaluate the performance of the LI-RADS v. 2018 scale by comparing it with
the Likert scale, in the characterization of liver lesions. Methods A total of 39 patients with …

Early diagnosis of hepatocellular carcinoma (HCC) is crucial for optimizing treatment
outcome. Ongoing advances are being made in imaging of HCC regarding detection …

Purpose To develop a deep convolutional neural network (CNN) model to categorize
multiphase CT and MRI liver observations using the liver imaging reporting and data system …