Arian Arvin, Abdullah Ayoob Dinar, Taher Hayder J, Suhail Alareer Hayder, Fotouhi Maryam
Department of Radiology, Cancer Institute-Advanced Diagnostic and Interventional Radiology Research Center (ADIR) Tehran University of Medical Sciences (TUMS), Tehran, IRN.
Department of Technology of Radiology and Radiotherapy, Tehran University of Medical Sciences (TUMS), Tehran, IRN.
Cureus. 2023 Mar 13;15(3):e36082. doi: 10.7759/cureus.36082. eCollection 2023 Mar.
This review was undertaken to assess the diagnostic value of the Liver Imaging Reporting and Data System (LI-RADS) in patients with a high risk of hepatocellular carcinoma (HCC). Google Scholar, PubMed, Web of Science, Embase, PROQUEST, and Cochrane Library, as the international databases, were searched with appropriate keywords. Using the binomial distribution formula, the variance of all studies was calculated, and using Stata version 16 (StataCorp LLC, College Station, TX, USA), the obtained data were analyzed. Using a random-effect meta-analysis approach, we determined the pooled sensitivity and specificity. Utilizing the funnel plot and Begg's and Egger's tests, we assessed publication bias. The results exhibited pooled sensitivity and pooled specificity of 0.80% and 0.89%, respectively, with a 95% confidence interval (CI) of 0.76-0.84 and 0.87-0.92, respectively. The 2018 version of LI-RADS showed the greatest sensitivity (0.83%; 95% CI 0.79-0.87; = 80.6%; < 0.001 for heterogeneity; = 0.001). The maximum pooled specificity was detected in LI-RADS version 2014 (American College of Radiology, Reston, VA, USA; 93.0%; 95% CI 89.0-96.0; = 81.7%; < 0.001 for heterogeneity; = 0.001). In this review, the results of estimated sensitivity and specificity were satisfactory. Therefore, this strategy can serve as an appropriate tool for identifying HCC.
本综述旨在评估肝脏影像报告和数据系统（LI-RADS）在肝细胞癌（HCC）高危患者中的诊断价值。以谷歌学术、PubMed、科学网、Embase、PROQUEST和考科蓝图书馆作为国际数据库，使用适当的关键词进行检索。采用二项分布公式计算所有研究的方差，并使用Stata 16版本（美国德克萨斯州大学站市StataCorp有限责任公司）对所得数据进行分析。采用随机效应荟萃分析方法，确定合并敏感性和特异性。利用漏斗图以及Begg检验和Egger检验评估发表偏倚。结果显示，合并敏感性和合并特异性分别为0.80%和0.89%，95%置信区间（CI）分别为0.76 - 0.84和0.87 - 0.92。2018版LI-RADS显示出最高的敏感性（0.83%；95% CI 0.79 - 0.87；I² = 80.6%；异质性P < 0.001；P = 0.001）。2014版LI-RADS（美国弗吉尼亚州雷斯顿市美国放射学会）检测到最大合并特异性（93.0%；95% CI 89.0 - 96.0；I² = 81.7%；异质性P < 0.001；P = 0.001）。在本综述中，估计的敏感性和特异性结果令人满意。因此，该策略可作为识别HCC的合适工具。
