ISSN 1004-4140
CN 11-3017/P

增强MRI采用LI-RADS v2018对肝细胞癌的诊断效能

The Diagnostic Efficacy of Version 2018 LI-RADS for Hepatocellular Carcinoma on Enhanced Magnetic Resonance Imaging

  • 摘要: 目的:探讨增强MRI采用2018版肝脏影像报告和数据系统(LI-RADS)在高危人群中对肝细胞癌(HCC)的诊断效能。方法:回顾性分析本院2017年至2022年经病理证实的69例HCC患者,并且行MRI增强检查。基于LI-RADS v2018,对每个病灶MRI图像的主要/辅助征象进行评价及LI-RADS分类。以病理结果为金标准,评价增强MRI采用LI-RADS v2018对HCC的诊断效能。采用组内相关系数(ICC)评价阅片者的一致性。结果:3位阅片者间LI-RADS分类的ICC值为0.782(95% 可信区间0.713~0.841)。基于LI-RADS v2018,以LR-5为诊断标准,MRI阅片者1诊断HCC的敏感度、特异度和准确率分别为83.9%、70.4% 和79.8%;阅片者2分别为80.6%、74.1% 和78.7%;阅片者3分别为80.6%、77.8%和79.8%。以LR-4联合LR-5为诊断标准,阅片者1诊断HCC的敏感度、特异度和准确率分别为93.5%、63.0% 和84.3%,阅片者2分别为90.3%、66.7% 和83.1%,阅片者3分别为91.9%、66.7%和84.3%。结论:基于LI-RADS v2018,增强MRI在高危人群中诊断HCC具有较高的诊断价值。

     

    Abstract: Objectives: To evaluate the diagnostic performance of the 2018 version of liver reporting and date system (LI-RADS v2018) for hepatocellular carcinoma (HCC) on contrast-enhanced magnetic resonance imaging (MRI) in high-risk patients. Methods: The data from 69 patients with HCC confirmed by pathology from 2017 and 2022 were retrospectively analyzed. The MRI features of the HCC lesions were analyzed and categorized according to LI-RADS v2018. The efficacy of LI-RADS v2018 in the diagnosis of HCC was calculated based on pathology. The intraclass correlation coefficient (ICC) test was used for consistency analysis. Results: The ICC value of the LI-RADS categories was 0.782 (95%CI: 0.713 to 0.841) across three readers based on the Liver Imaging Reporting and Data System (LI-RADS) criteria. When using LR-5 as the criterion to predict HCCs, the sensitivity, specificity and accuracy for each reader were 83.9%, 70.4%, and 79.8%; 80.6%, 74.1%, and 78.7%; and 80.6%, 77.8%, and 79.8%, respectively. When using LR-4/5 as the criterion to predict HCCs, these measures for each reader were 93.5%, 63.0%, and 84.3%; 90.3%, 66.7%, and 83.1%; and 91.9%, 66.7%, and 84.3%, respectively. Conclusion: Based on LI-RADS v2018, the enhanced MRI demonstrated high diagnostic efficacy for HCC in high-risk patients.

     

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