摘要
小肝癌诊断对于提高患者的生存率至关重要。然而, 传统的诊断方法侵入性强, 因此开发无创诊断技术显得尤为重要。近年来, 无创诊断技术在肝癌的早期检测中显示出良好的前景。当前研究集中在生物标志物、影像学技术和人工智能应用等方面。文章旨在综述小肝癌无创诊断技术的最新进展, 探讨其在临床应用中的优势与挑战, 并展望未来的研究方向, 为进一步提高小肝癌的诊断率提供参考。
The diagnosis of small liver cancer is crucial to improving the survival rate of patients.However,traditional diagnostic methods are highly invasive,so the development of non-invasive diagnostic techniques is particularly important.In recent years,non-invasive diagnostic techniques have shown good prospects in the early-stage detection of liver cancer.Therefore,current research focuses on biomarkers,imaging technologies,and artificial intelligence applications.This article aims to review the latest advances in non-invasive diagnostic technologies,discuss their advantages and challenges in clinical application,and look forward to future research directions so as to provide a reference for further improving the diagnosis rate of small liver cancer.
作者
赵素贤
张子昂
南月敏
Zhao Suxian;Zhang Ziang;Nan Yuemin(Department of Traditional and Western Medical Hepatology,Department of Gastroenterology,Hebei Medical University Third Hospital,Shijiazhuang 050051,China;Hebei Provincial Key Laboratory of Liver Fibrosis Mechanism Study in Chronic Liver Diseases,Hebei International Joint Research Center for Liver Cancer Molecular Diagnosis,Hebei International Science and Technology Cooperation Base,Shijiazhuang 050051,China)
出处
《中华肝脏病杂志》
北大核心
2025年第4期310-316,共7页
Chinese Journal of Hepatology
基金
河北省重点研发计划项目(23377705D)
河北省引进国外智力项目(2024)
2024年度河北省医学适用技术跟踪项目(GZ2024048)。
关键词
小肝癌
无创诊断
生物标志物
影像学技术
人工智能
Small hepatocellular carcinoma
Non-invasive diagnosis
Biomarkers
Imaging techniques
Artificial intelligence
