Cross-vendor validation of liver magnetic resonance elastography

Suraj D. Serai, Meng Yin, Hui Wang, Richard Lorne Ehman, Daniel J. Podberesky

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

Purpose: To evaluate and validate the reproducibility of MR Elastography (MRE)-derived liver stiffness values on two different MR vendor platforms performed on the same subject on the same day. Methods: This investigation was approved by the hospital IRB. MRE exams were performed twice in identical fashion in eight volunteers and in five clinical patients on two different 1.5 T MR scanners—once on a Philips MR scanner and immediately afterward in back-to-back fashion on a General Electric MR scanner, or vice versa. All scan parameters were kept identical on the two platforms to the best extent possible. After the MRE magnitude and phase images were obtained, the data were converted into quantitative images displaying the stiffness of the liver parenchyma. Mean liver stiffness values between the two platforms were compared using interclass correlation with a p value <0.05 considered statistically significant. Results: Interclass correlation coefficient (ICC) value of 0.994 was obtained for 13 subjects with p value <0.001 indicating a significantly positive correlation. Conclusion: As MRE gains in acceptance and as its availability becomes more widespread, it is important to ascertain and confirm that liver stiffness values obtained on different MRE vendor platforms are consistent and reproducible. In this small pilot investigation, we demonstrate that liver stiffness measurement with MRE is reproducible and has very good consistency across two vendor platforms.

Original languageEnglish (US)
Pages (from-to)789-794
Number of pages6
JournalAbdominal Imaging
Volume40
Issue number4
DOIs
StatePublished - Dec 5 2014

Keywords

  • Liver elastography
  • MRE
  • MRE validation

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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