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Intraindividual comparison between gadoxetate-enhanced magnetic resonance imaging and dynamic computed tomography for characterizing focal hepatic lesions: A multicenter, multireader study

  • Chansik An
  • , Chang Hee Lee
  • , Jae Ho Byun
  • , Min Hee Lee
  • , Woo Kyoung Jeong
  • , Sang Hyun Choi
  • , Do Young Kim
  • , Young Suk Lim
  • , Young Seok Kim
  • , Ji Hoon Kim
  • , Moon Seok Choi
  • , Myeong Jin Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To compare the diagnostic accuracy of dynamic computed tomography (CT) and gadoxetate-enhanced magnetic resonance imaging (MRI) for characterization of hepatic lesions by using the Liver Imaging Reporting and Data System (LI-RADS) in a multicenter, off-site evaluation. Materials and Methods: In this retrospective multicenter study, we evaluated 231 hepatic lesions (114 hepatocellular carcinomas [HCCs], 58 non-HCC malignancies, and 59 benign lesions) confirmed histologically in 217 patients with chronic liver disease who underwent both gadoxetate-enhanced MRI and dynamic CT at one of five tertiary hospitals. Four radiologists at different institutes independently reviewed all MR images first and the CT images 4 weeks later. They evaluated the major and ancillary imaging features and categorized each hepatic lesion according to the LI-RADS v2014. Diagnostic performance was calculated and compared using generalized estimating equations. Results: MRI showed higher sensitivity and accuracy than CT for diagnosing hepatic malignancies; the pooled sensitivities, specificities, and accuracies for categorizing LR-5/5V/M were 59.0% vs. 72.4% (CT vs. MRI; p < 0.001), 83.5% vs. 83.9% (p = 0.906), and 65.3% vs. 75.3% (p < 0.001), respectively. CT and MRI showed comparable capabilities for differentiating between HCC and other malignancies, with pooled accuracies of 79.9% and 82.4% for categorizing LR-M, respectively (p = 0.139). Conclusion: Gadoxetate-enhanced MRI showed superior accuracy for categorizing LR-5/5V/M in hepatic malignancies in comparison with dynamic CT. Both modalities had comparable accuracies for distinguishing other malignancies from HCC.

Original languageEnglish
Pages (from-to)1616-1626
Number of pages11
JournalKorean Journal of Radiology
Volume20
Issue number12
DOIs
StatePublished - Dec 2019

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

  • Computed tomography
  • Contrast media
  • Data systems
  • Gadolinium ethoxybenzyl DTPA
  • Hepatocellular carcinoma
  • Magnetic resonance imaging

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