Research Progress and Prospect of Risk Prediction Models for Hepatocellular Carcinoma Related to Chronic Hepatitis B
10.11735/j.issn.1004-0242.2025.11.A009
- VernacularTitle:慢性乙型肝炎患者肝癌风险预测模型的研究进展与方法比较
- Author:
Lei SU
1
;
Chenye LIU
;
Xinxin YAN
;
Yuqin PENG
;
Sheng CHANG
;
Yunyong LIU
Author Information
1. 深圳大学医学部公共卫生学院,广东 深圳 518055;国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院深圳医院,广东 深圳 518116
- Publication Type:Journal Article
- Keywords:
hepatocellular carcinoma;
hepatitis B;
prediction model;
artificial intelligence;
biomarkers
- From:
China Cancer
2025;34(11):891-897
- CountryChina
- Language:Chinese
-
Abstract:
Chronic hepatitis B(CHB)is the main cause of hepatocellular carcinoma(HCC).Early prediction and diagnosis of HCC in CHB patients can further reduce the onset risk of HCC and improve patient prognosis.Scholars at home and abroad have proposed a number of HCC risk prediction models for CHB patients,and these models have achieved new development and opti-mization in the era of antiviral therapy.Due to differences in research backgrounds,these models vary in the use of antiviral drugs,included variables(such as host factors,viral activity,cirrhosis status,etc.)and application scenarios.At the same time,the application of artificial intelligence and liquid biopsy technology in risk prediction models has become a new research highlight.This paper aims to compare the HCC risk prediction models reported so far for CHB patients,clarify the characteristics of each model,explore appropriate HCC risk prediction methods,and provide reference for the risk prediction of hepatitis B virus related HCC.
