{"title":"[New progress in the technology of non-invasive diagnosis for small hepatocellular carcinoma].","authors":"S X Zhao, Z A Zhang, Y M Nan","doi":"10.3760/cma.j.cn501113-20250314-00094","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":24006,"journal":{"name":"中华肝脏病杂志","volume":"33 4","pages":"310-316"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华肝脏病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn501113-20250314-00094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
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.