文章：

肝癌风险分层与监测策略优化的风险评分体系

Risk Scores for Stratifying Hepatocellular Carcinoma and Optimizing Surveillance Strategies

原文发布日期：2 January 2026

DOI: 10.3390/cancers18010158

类型: Article

开放获取: 是

英文摘要：

Background: Hepatocellular carcinoma (HCC) is a major global health burden, with poor outcomes largely due to diagnosis at an advanced stage and the limited performance of current surveillance tools. Ultrasound with alpha fetoprotein (AFP) provides insufficient sensitivity for early-stage detection, highlighting the need to better identify the at-risk population.Focus of the review: Many HCC risk scores have been proposed; however, some depend on specialized laboratory data that are not widely available. This review summarizes risk scores that show reliable discrimination and rely on demographic, clinical, or molecular information that can be readily obtained in routine care.Conclusions: Advances in HCC risk scores support the move toward surveillance approaches based on individual risk. These tools can improve risk stratification, increase the likelihood of early detection, and potentially support better outcomes for people who belong to the at-risk population for HCC.

摘要翻译： 

背景：肝细胞癌（HCC）是全球主要的健康负担，其不良预后主要归因于晚期诊断以及现有监测工具的局限性。超声联合甲胎蛋白（AFP）检测对早期肝癌的敏感性不足，这凸显了更好地识别高危人群的必要性。 综述重点：目前已提出多种HCC风险评分模型，但部分模型依赖尚未广泛普及的专业实验室数据。本综述总结了具有可靠区分度、且基于常规诊疗中易于获取的人口统计学、临床或分子信息的风险评分模型。 结论：HCC风险评分模型的进展支持了向基于个体风险的监测策略转变。这些工具能够改善风险分层，提高早期发现的可能性，并有望为HCC高危人群带来更好的临床结局。

原文链接：

Risk Scores for Stratifying Hepatocellular Carcinoma and Optimizing Surveillance Strategies