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      Compared with CT/MRI LI-RADS, whether CEUS LI-RADS is worth popularizing in diagnosis of hepatocellular carcinoma?—a direct head-to-head meta-analysis

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          Abstract

          Background

          Until now, there has been no systematic review or meta-analysis of direct head-to-head studies that compare two liver imaging reporting and data system (LI-RADS) algorithms, contrast-enhanced ultrasound (CEUS) LI-RADS and contrast-enhanced computed tomography/magnetic resonance imaging (CT/MRI) LI-RADS, for the diagnostic efficacy of hepatocellular carcinoma. The purpose of this study was to identify and head-to-head compare the diagnostic performance of both LI-RADS algorithms for hepatocellular carcinoma.

          Methods

          We searched the PubMed, EMBASE, Web of Science, and Cochrane Library databases from the inception of each database to April 26, 2022, to find the comparative study of both LI-RADS algorithms for hepatocellular carcinoma at risk of patients who underwent both LI-RADS algorithms. Eligibility criteria included only studies published in English, full reports published, both retrospective and prospective studies. Liver histology or imaging follow-up results served as the reference standard. We analyzed the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curve to determine summary estimates. The Quality Assessment of Diagnostic Accuracy Studies was utilized to assess the methodological quality.

          Results

          In 5 included studies (831 patients, 877 lesions), the pooled sensitivity and pooled specificity of CEUS LR-5 were 0.79, 0.81, and 0.78, 0.79 in CT/MRI LR-5, respectively. The pooled sensitivity and pooled specificity of CEUS LR-4/5 were 0.86, 0.70, and 0.93, 0.59 in CT/MRI LR-4/5, respectively. There was no obvious difference between the two LI-RADS algorithms for hepatocellular carcinoma, and there was no significant statistical difference between two LR-M algorithms for non-hepatocellular carcinoma malignancies.

          Conclusions

          The results of our analysis demonstrated that CEUS LI-RADS has satisfactory diagnostic performance similar to that of CT/MRI LI-RADS, which provides a theoretical basis for the popularization of CEUS LI-RADS for diagnosing HCC. This work was supported by Sichuan Science and Technology Program (No. 2020YFS0211). We registered this study on the international prospective register of systematic reviews (PROSPERO, CRD42022328107) before the search step.

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          Most cited references37

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          QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

          In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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            Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases

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              Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

              Systematic reviews of diagnostic test accuracy synthesize data from primary diagnostic studies that have evaluated the accuracy of 1 or more index tests against a reference standard, provide estimates of test performance, allow comparisons of the accuracy of different tests, and facilitate the identification of sources of variability in test accuracy.
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                Author and article information

                Journal
                Quant Imaging Med Surg
                Quant Imaging Med Surg
                QIMS
                Quantitative Imaging in Medicine and Surgery
                AME Publishing Company
                2223-4292
                2223-4306
                24 May 2023
                01 August 2023
                : 13
                : 8
                : 4919-4932
                Affiliations
                [1 ]deptDepartment of Ultrasound , West China Hospital of Sichuan University , Chengdu, China;
                [2 ]deptDepartment of Ultrasound, Laboratory of Ultrasound Medicine , West China Hospital of Sichuan University , Chengdu, China
                Author notes

                Contributions: (I) Conception and design: W Ling; (II) Administrative support: W Ling; (III) Provision of study materials or patients: H Wang, J Cao, H Fan; (IV) Collection and assembly of data: H Wang, J Cao, H Fan, J Huang; (V) Data analysis and interpretation: H Wang, J Cao, H Fan, J Huang, H Zhang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Wenwu Ling, MD. Department of Ultrasound, West China Hospital of Sichuan University, 37 Guoxue Lane, Chengdu 610041, China. Email: lingwenwubing@ 123456163.com .
                Article
                qims-13-08-4919
                10.21037/qims-22-1383
                10423374
                37581040
                53cf1ea8-379e-45ef-9154-343d5cb8e6c9
                2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 13 December 2022
                : 09 May 2023
                Funding
                Funded by: Sichuan Science and Technology Program
                Award ID: No. 2020YFS0211
                Categories
                Original Article

                meta-analysis,contrast-enhanced ultrasound liver imaging reporting and data system (ceus li-rads),hepatocellular carcinoma (hcc),diagnostic performance,contrast-enhanced computed tomography/magnetic resonance imaging liver imaging reporting and data system (ct/mri li-rads)

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