Kim Yeun-Yoon, Lee Sunyoung, Shin Jaeseung, Son Won Jeong, Shin Hyejung, Lee Ji Eun, Hwang Jeong Ah, Chung Yong Eun, Choi Jin-Young, Park Mi-Suk
Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
J Magn Reson Imaging. 2021 Dec;54(6):1912-1919. doi: 10.1002/jmri.27664. Epub 2021 Apr 30.
The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing liver imaging in patients at risk for hepatocellular carcinoma (HCC).
To systematically compare the performance of computed tomography (CT)/MRI LI-RADS category 5 (LR-5) for diagnosing HCC between versions 2017 and 2018.
Systematic review and meta-analysis.
Six articles with 1181 lesions.
FIELD STRENGTH/SEQUENCE: 1.5 T and 3.0 T.
Data extraction was independently performed by two reviewers who identified and reviewed articles comparing the performance of LR-5 for diagnosing HCC between CT/MRI LI-RADS versions 2017 and 2018. Study and patient characteristics, index test characteristics, reference standards, and study outcomes were extracted from included studies. Risk of bias and concerns regarding applicability were evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.
Bivariate random-effects models were used to calculate the pooled per-observation sensitivity and specificity of LR-5 using both versions. The summary receiver operating characteristic curves were plotted. Meta-regression analysis was performed to explore heterogeneity. A P-value <0.05 was considered to be statistically significant for all analyses other than heterogeneity, where the significance threshold was 0.1.
The pooled per-observation sensitivity of LR-5 for diagnosing HCC did not show statistically significant difference between versions 2017 (60%; 95% confidence interval [CI], 49%-70%) and 2018 (67%; 95% CI, 56%-76%; P = 0.381). The pooled per-observation specificities of LR-5 were not significantly different between versions 2017 (92%; 95% CI, 90%-95%) and 2018 (91%; 95% CI, 88%-93%; P = 0.332). Meta-regression analyses revealed that the most common underlying liver disease (hepatitis B or hepatitis C) was a significant factor contributing to the heterogeneity of sensitivities among studies for both versions.
In this meta-analysis using intraindividual paired comparisons, the pooled sensitivity and pooled specificity of LR-5 were not significantly different between 2017 and 2018 LI-RADS versions.
3 TECHNICAL EFFICACY: Stage 2.
肝脏影像报告和数据系统(LI-RADS)是一个用于规范肝细胞癌(HCC)高危患者肝脏影像的综合系统。
系统比较2017版和2018版计算机断层扫描(CT)/磁共振成像(MRI)的LI-RADS 5类(LR-5)在诊断HCC方面的性能。
系统评价和荟萃分析。
6篇文章,共1181个病灶。
场强/序列:1.5T和3.0T。
由两名审阅者独立进行数据提取,他们识别并审阅了比较2017版和2018版CT/MRI LI-RADS中LR-5诊断HCC性能的文章。从纳入研究中提取研究和患者特征、指标测试特征、参考标准和研究结果。使用诊断准确性研究质量评估-2工具评估偏倚风险和适用性问题。
采用双变量随机效应模型计算两个版本LR-5的合并观察敏感性和特异性。绘制汇总的受试者工作特征曲线。进行荟萃回归分析以探讨异质性。除异质性分析外,所有分析的P值<0.05被认为具有统计学意义,而异质性分析的显著性阈值为0.1。
LR-5诊断HCC的合并观察敏感性在2017版(60%;95%置信区间[CI],49%-70%)和2018版(67%;95%CI,56%-76%;P = 0.381)之间未显示出统计学显著差异。LR-5的合并观察特异性在2017版(92%;95%CI,90%-95%)和2018版(91%;95%CI,88%-93%;P = 0.332)之间也无显著差异。荟萃回归分析显示,最常见的潜在肝脏疾病(乙型肝炎或丙型肝炎)是导致两个版本研究敏感性异质性的一个重要因素。
在这项使用个体内配对比较的荟萃分析中,2017版和2018版LI-RADS中LR-5的合并敏感性和合并特异性无显著差异。
3 技术效能:2级