Inter-reader agreement of abbreviated magnetic resonance imaging for hepatocellular carcinoma detection: a systematic review and meta-analysis

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Abstract

Purpose: To determine the inter-reader agreement of abbreviated magnetic resonance imaging (AMRI) for the detection of hepatocellular carcinoma (HCC) and explore the causes of heterogeneity between the reported results. Methods: Original studies reporting the inter-reader agreement of AMRI for detecting HCC were identified in MEDLINE, EMBASE, and Cochrane databases. The pooled kappa coefficient (κ) was calculated using the DerSimonian–Laird random-effects model. Subgroup analyses were performed according to the AMRI protocol (non-contrast [NC]-AMRI, dynamic contrast-enhanced [DCE]-AMRI, and hepatobiliary phase [HBP]-AMRI). Meta-regression analyses were performed to further explore study heterogeneity. Results: In the eight included studies (1182 patients), the overall pooled κ was 0.76 (95% confidence interval [CI], 0.70–0.82; I2 = 74.4%). The κ of NC-AMRI, DCE-AMRI, and HBP-AMRI were 0.72 (95% CI, 0.62–0.82), 0.80 (95% CI, 0.78–0.82), and 0.98 (95% CI, 0.95–1.00), respectively. In the NC-AMRI, the pooled κ of NC-AMRI using only diffusion-weighted imaging (DWI) was 0.64, which was lower than the values using two or more imaging sequences (κ = 0.74–0.77). In subgroup analysis, no study heterogeneity was noted in studies using DCE-AMRI (I2 = 0%), whereas high heterogeneity was noted with NC-AMRI (I2 = 80.5%). Especially, NC-AMRI including more than two imaging sequences showed high residual heterogeneity (I2 = 87.6%). Meta-regression analysis found that difference in reader experience was significantly associated with study heterogeneity (p =.02). Conclusion: AMRI for detecting HCC showed substantial inter-reader agreement across all examined protocols. NC-AMRI, notably NC-AMRI using only DWI, had relatively low inter-reader agreement. Therefore, DCE-AMRI or HBP-AMRI may be more reliable than NC-AMRI using only DWI. Graphic abstract: [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)123-132
Number of pages10
JournalAbdominal Radiology
Volume47
Issue number1
DOIs
StatePublished - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Early detection of cancer
  • Hepatocellular carcinoma
  • Magnetic resonance imaging
  • Meta-analysis
  • Reproducibility of results

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