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Review
. 2022 Mar-Apr;38(3Part-I):743-750.
doi: 10.12669/pjms.38.3.5142.

Accuracy of Non-Contrast MRI for the Detection of Hepatocellular Carcinoma: A systematic review and meta-analysis

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Review

Accuracy of Non-Contrast MRI for the Detection of Hepatocellular Carcinoma: A systematic review and meta-analysis

Liping Lu et al. Pak J Med Sci. 2022 Mar-Apr.

Abstract

Non-contrast MRI is used for identifying patients with hepatocellular carcinoma (HCC), especially among high-risk patients with cirrhosis or chronic viral hepatitis. The accuracy of non-contrast MRI has been investigated with varying results. We performed this meta-analysis to consolidate the evidence on the accuracy of non-contrast MRI for the detection of HCC. We conducted a systematic search in the databases of PubMed Central, SCOPUS, MEDLINE, EMBASE and Cochrane from inception till November 2020. We used the STATA software "Midas" package for meta-analysis. We included 15 studies with 3,756 patients. The pooled sensitivity and specificity of non-contrast MRI for HCC detection were 84% (95%CI, 78%-88%) and 94% (95%CI, 91%-97%). The positive likelihood ratio was 14.9 (95% CI, 9.0-24.7) and the negative one 0.17 (0.12-0.23). The overall quality of the studies was high. We found significant heterogeneity based on chi-square test results and I2 statistic > 75%. Deek's test showed the absence of publication bias. We found that non-contrast MRI has high sensitivity and specificity as a tool for detecting HCC. Studies exploring its accuracy in different ethnic populations are required to strengthen the evidence.

Keywords: Hepatocellular Carcinoma; Magnetic Resonance Imaging; Meta-analysis; Validation studies.

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Figures

Fig.1
Fig.1
Search strategy.
Fig.2
Fig.2
Forest plot showing pooled sensitivity and specificity for non-contrast MRI.
Fig.3
Fig.3
Likelihood scatter gram.
Fig.4
Fig.4
Fagan nomogram

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References

    1. Tejeda-Maldonado J, Garcia-Juarez I, Aguirre-Valadez J, González-Aguirre A, Vilatobá-Chapa M, Armengol-Alonso A, et al. Diagnosis and treatment of hepatocellular carcinoma:An update. World J Hepatol. 2015;7(3):362–376. doi:10.4254/wjh.v7.i3.362. - PMC - PubMed
    1. Tzartzeva K, Obi J, Rich NE, Parikh ND, Marrero JA, Yopp A, et al. Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis:A Meta-analysis. Gastroenterology. 2018;154(6):1706–1718.e1. doi:10.1053/j.gastro.2018.01.064. - PMC - PubMed
    1. Meissner HI, Smith RA, Rimer BK, Wilson KM, Rakowski W, Vernon SW, et al. Promoting cancer screening:Learning from experience. Cancer. 2004;101(5 Suppl):1107–1117. doi:10.1002/cncr.20507. - PubMed
    1. Tan CH, Low S-CA, Thng CH. APASL and AASLD Consensus Guidelines on Imaging Diagnosis of Hepatocellular Carcinoma:A Review. Int J Hepatol. 2011;2011:519783. doi:10.4061/2011/519783. - PMC - PubMed
    1. Bruix J, Sherman M. American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma:an update. Hepatology. 2011;53(3):1020–1022. doi:10.1002/hep.24199. - PMC - PubMed

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