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Review
. 2023 Mar 13;15(3):e36082.
doi: 10.7759/cureus.36082. eCollection 2023 Mar.

Diagnostic Values of the Liver Imaging Reporting and Data System in the Detection and Characterization of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

Arvin Arian  1 , Ayoob Dinar Abdullah  2 , Hayder J Taher  3 , Hayder Suhail Alareer  4 , Maryam Fotouhi  5
Affiliations
Review

Diagnostic Values of the Liver Imaging Reporting and Data System in the Detection and Characterization of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

Arvin Arian et al. Cureus. .

Abstract

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; I 2 = 80.6%; P < 0.001 for heterogeneity; T 2 = 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; I 2 = 81.7%; P < 0.001 for heterogeneity; T 2 = 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.

Keywords: hepatocellular carcinoma; li-rads; liver imaging; meta-analysis; systematic review.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. PRISMA protocol.
PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses
Figure 2
Figure 2. Forest plot for the diagnostic sensitivity of DCE-MRI to detect HCC tumors.
DCE-MRI, dynamic contrast-enhanced magnetic resonance imaging; HCC, hepatocellular carcinoma
Figure 3
Figure 3. Publication bias assessment.
Begg’s funnel plot with 95% confidence limits.
See this image and copyright information in PMC

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