CT/MRI LI-RADS 诊断性能 2018 年版 主要特征组合:个人参与者数据元分析.
Robert G Adamo1, Christian B van der Pol2, Mostafa Alabousi3
1Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada.
Radiology
|June 10, 2025
概括
这项研究分析了CT/MRILI-RADS主要特征组合的肝细胞癌 (HCC) 风险. 大多数类别内的组合都显示出类似的正预测值 (PPV),支持当前的LI-RADS分类.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- CT/MRI肝脏成像报告和数据系统 (LI-RADS) 算法有助于使用成像功能在高风险患者中诊断肝细胞癌 (HCC).
- 关于特定LI-RADS主要特征组合的诊断性能存在有限的数据.
- 了解这些组合对于准确的HCC风险分层至关重要.
研究的目的:
- 系统地审查和执行个人参与者数据 (IPD) 的元分析.
- 为了确定CT/MRI LI-RADS 2018版主要特征组合的积极预测值 (PPV).
- 评估这些组合在患有HCC风险的患者中.
主要方法:
- 在Medline,Embase,Cochrane Central和Scopus (2014年1月至2023年2月) 的系统搜索.
- 包括在高风险患者中报告LI-RADS类别的HCC百分比的研究.
- 一个单阶段随机效应的IPD元分析,用于计算主要特征组合的PPV和95%CI. 使用QUADAS-2评估的偏差风险.
主要成果:
- 对46项涉及6765名患者的研究和7500个肝脏观察结果的分析.
- 聚合的PPVs:LR-3 (58.28%),LR-4 (80.82%),LR-5 (95.81%). 这两种类型的PPVs可以分别使用.
- 在同一类别内的大多数LI-RADS主要特征组合都显示了类似的PPV,支持当前的分类. 在LR-3,LR-4和LR-5中的五种特定组合显示,与各自类别相比,PPV有显著差异.
结论:
- 大多数CT/MRILI-RADS主要特征组合在高风险患者中表现出类似的HCCPPV.
- 在LR-3,LR-4和LR-5类别内,有五种特定的主要特征组合,由于PPV不同,因此需要进一步关注.
- 结果支持当前LI-RADS分类的一般有效性,同时突出了潜在的改进领域.
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