Aetiology of chronic liver disease is a valuable factor for stratifying adverse outcomes of acute decompensation: prospective observational study.

Background/aims: Acute decompensation (AD) is defined as the development of complications related to portal hypertension and liver dysfunction that affect the progression of chronic liver disease (CLD) or liver cirrhosis (LC). Variations exist in patient demographics and prognostic outcomes of AD based on the aetiology of CLD, encompassing LC. However, limited research has been conducted to analyse these discrepancies across aetiologies.

Clinical consequence of hypophosphatemia during antiviral therapy for chronic hepatitis B.

Background: Antiviral therapy is an essential treatment for chronic hepatitis B (CHB) infection. Although hypophosphatemia is an important adverse effect of antiviral agents, its clinical significance remains unclear. We investigated the incidence and clinical consequences of hypophosphatemia in a large cohort of CHB patients.

Primary Cholangiocarcinoma of the Liver Presenting as a Complicated Hepatic Cyst: A Diagnostic Challenge.

Primary cholangiocarcinoma is a rare bile duct epithelial neoplasm that can present with atypical clinical manifestations, complicating its diagnosis. A 62-year-old male showed symptoms suggestive of a complicated hepatic cyst that was later identified as intrahepatic cholangiocarcinoma. The patient presented with abdominal discomfort without fever.

Miliary Tuberculosis Initially Presenting as an Isolated Hepatic Abscess.

Hepatic tuberculosis, typically associated with miliary tuberculosis, can occasionally present as localized liver lesions. This case report describes a 77-year-old male presenting with persistent abdominal pain and fever, following an endoscopic retrograde cholangiopancreatography for bile duct sludge removal. Subsequent computed tomography revealed focal liver lesions.

AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

Background & Aims: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by incorporating imaging biomarkers derived from abdominal computed tomography (CT) images along with clinical variables.

Methods: An AI prediction model employing a gradient-boosting machine algorithm was developed utilizing imaging biomarkers extracted by DeepFore, a deep learning-based CT auto-segmentation software.