使用 GALAD 和类 GALAD 算法对 AFP/AFP-L3%/DCP 在 HCC 中的临床应用的中国专家共识声明

IF 2.6 4区医学 Q2 MEDICAL LABORATORY TECHNOLOGY Journal of Clinical Laboratory Analysis Pub Date : 2023-12-08 DOI:10.1002/jcla.24990

Chenjun Huang, Xiao Xiao, Lin Zhou, Fuxiang Chen, Jianyi Wang, Xiaobo Hu, Chunfang Gao

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引用次数: 0

摘要

原发性肝细胞癌（HCC）是全球最常见的恶性肿瘤之一。新发的 HCC 有一半发生在中国。优化高危监测和早期诊断策略是提高 5 年生存率的关键。为医疗卫生机构构建科学可行的无创检测技术，是提高 HCC 识别和随访效率的关键途径之一。

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Chinese expert consensus statement on the clinical application of AFP/AFP-L3%/DCP using GALAD and GALAD-like algorithm in HCC

Primary hepatocellular carcinoma (HCC) is one of the most prevalent world-wide malignancies. Half of the newly developed HCC occurs in China. Optimizing the strategies for high-risk surveillance and early diagnosis are pivotal for improving 5-year survival. Constructing the scientific non-invasive detection technologies feasible for medical and healthcare institutions is among the key routes for elevating the efficacies of HCC identification and follow-up.

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来源期刊

Journal of Clinical Laboratory Analysis 医学-医学实验技术

CiteScore

5.60

自引率

7.40%

发文量

584

审稿时长

6-12 weeks

期刊介绍： Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.