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Differentiation of small (≤2 cm) hepatocellular carcinomas from small benign nodules in cirrhotic liver on gadoxetic acid-enhanced and diffusion-weighted magnetic resonance images

  • Heon Ju Kwon
  • , Jae Ho Byun
  • , Ji Yeon Kim
  • , Gil Sun Hong
  • , Hyung Jin Won
  • , Yong Moon Shin
  • , Pyo Nyun Kim
  • University of Ulsan
  • Kangbuk Samsung Hospital
  • Vievis Namuh Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To identify imaging characteristics that differentiate small (≤2 cm) HCCs from small (≤2 cm) benign nodules in cirrhotic liver on gadoxetic acid-enhanced and diffusion-weighted (DW) magnetic resonance (MR) images. Materials and methods: On gadoxetic acid-enhanced and DW MR images, we analysed signal intensity of 222 small HCCs and 61 benign nodules (diameter, 0.5–2 cm) at each sequence and rim enhancement during portal or equilibrium phases. Univariate and multivariate logistic regression analyses identified predictors of HCC. Combinations of significant MR findings in multivariate analysis were compared with American Association for the Study of Liver Disease (AASLD) practice guidelines. Results: In multivariate analysis, arterial enhancement (adjusted odds ratio [aOR], 8.6), T2 hyperintensity (aOR, 5.8), and hyperintensity on DW images (aOR, 3.8) were significant for differentiating small HCCs from benign nodules (p ≤ 0.004). When two or all three findings were applied as diagnostic criteria for differentiating small HCCs from benign nodules, sensitivity and accuracy were significantly higher compared with AASLD practice guidelines (91% vs. 78% and 89% vs. 81%, respectively; each p < 0.0001). Conclusion: On gadoxetic acid-enhanced MR imaging, arterial enhancement and hyperintensity on T2-weighted and DW MR images are helpful for differentiating small HCCs from benign nodules in liver cirrhosis.

Original languageEnglish
Pages (from-to)64-75
Number of pages12
JournalAbdominal Imaging
Volume40
Issue number1
DOIs
StatePublished - 1 Jan 2015
Externally publishedYes

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

  • American Association for the Study of Liver Disease (AASLD) guidelines
  • Diffusion-weighted MRI
  • Gadoxetic acid
  • Hepatocellular carcinoma
  • Liver magnetic resonance image (MRI)

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