The goal of this observational study is to develop and validate a fully automated imaging deep learning platform for the evaluation of sarcopenia in liver cirrhosis. Based on this model, a new prognostic model for liver cirrhosis incorporating imaging biomarkers such as sarcopenia will be constructed, and its predictive performance will be validated.
The goal of this observational study is to collect clinical and abdominal imaging data of patients with liver cirrhosis. The collected imaging data will be used as a model development set to develop, test, and internally validate a fully automated imaging deep learning platform for the evaluation of sarcopenia in liver cirrhosis. Subsequently, relevant data from patients with liver cirrhosis at other centers will be collected and used as an external validation dataset. The model will be externally validated by abdominal radiology experts. Furthermore, we will include sociodemographic information, clinical data, imaging data, and clinical outcomes of the aforementioned liver cirrhosis patients to predict the prognosis of these patients using the established model. This model will be used to construct a new prognostic model for liver cirrhosis incorporating imaging biomarkers such as sarcopenia, and its predictive performance will be validated.
Study Type
OBSERVATIONAL
Enrollment
1,000
Liver-related mortality
Causes of liver disease-related mortality include: Hepatitis B virus infection, hepatitis C virus infection, alcohol-induced or toxic liver disease; complications related to liver cirrhosis: ascites or pleural effusion, esophagogastric variceal bleeding, spontaneous bacterial peritonitis or related infections, hepatic encephalopathy or other neuropsychiatric syndromes based on metabolic disorders, hepatorenal syndrome, hepatopulmonary syndrome; liver failure; hepatocellular carcinoma; death or liver transplantation.
Time frame: As of December 31, 2025
All-cause Mortality
Deaths caused by all reasons, including but not limited to those related to liver disease
Time frame: As of December 31, 2025
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