Validity of an automated screening Dixon technique for quantifying hepatic steatosis in living liver donors

Sangkeun Song, Hokun Kim, Joon Il Choi, Dong Hwan Kim, Bohyun Kim, Hyunsoo Lee, Jiwon Lee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: This retrospective study aimed to evaluate the validity of an automated screening Dixon (e-DIXON) technique for quantifying hepatic steatosis in living liver-donor patients by comparison with magnetic resonance spectroscopy (MRS) as a reference standard. Methods: A total of 285 living liver-donor candidates were examined with the e-DIXON technique and single-voxel MRS to assess hepatic steatosis and iron deposition between January 2014 and February 2019. The sensitivity, specificity, and positive and negative predictive values (PPV and NPV) of the e-DIXON technique for hepatic steatosis were calculated. The mean fat signal fractions obtained in MRS were compared between the donors diagnosed with hepatic steatosis and the normal group. The mean R2 values of donors with or without hepatic siderosis also were compared. Results: The e-DIXON technique diagnosed normal in 133 (47%), fat in 124 (44%), iron in one (0.4%), and a combination of both fat and iron in 27 (10%) donors. The sensitivity, specificity, PPV, and NPV ​​for diagnosing hepatic steatosis were 94%, 70%, 64%, and 96%, respectively. There was a significant difference in the mean fat signal fraction obtained in MRS between the steatosis and normal groups (p < 0.001), but R2 values were not significantly different between siderosis and normal groups (p = 0.11). The e-DIXON technique showed a strong correlation with MRS in fat measurement (r 2 = 0.92, p < 0.001). Conclusion: The e-DIXON technique reliably screens for hepatic steatosis but may not accurate for detecting hepatic iron deposition.

Original languageEnglish
Pages (from-to)406-413
Number of pages8
JournalAbdominal Radiology
Volume49
Issue number2
DOIs
StatePublished - Feb 2024

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Liver
  • Liver transplantation
  • Magnetic resonance imaging
  • Magnetic resonance spectroscopy
  • Steatosis

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