[Magnetic resonance elastography of the liver : Worth knowing for clinical routine]

Radiologe. 2020 Oct;60(10):966-978. doi: 10.1007/s00117-020-00690-6.
[Article in German]

Abstract

Background: Magnetic resonance elastography (MRE) is a noninvasive, quantitative, MRI-based method to evaluate liver stiffness. Beside biopsy and ultrasound elastography, this imaging method plays in many places a significant role in the detection and additive characterization of chronic liver disease.

Objectives, materials and methods: Based on the literature, a brief review of the underlying method and the commercially available products is given. Furthermore, the practical procedure, the analysis, and the interpretation of clinically relevant questions are illustrated and a comparison with ultrasound elastography is provided.

Results: This relative "young" MRI method allows extensive evaluation of mechanical properties of the liver and is an important diagnostic tool especially in follow-up examinations. The MRE of the liver is with a maximum technical failure rate of 5.8% a robust technique with high accuracy and an excellent re-test reliability as well as intra- and interobserver reproducibility. There is a high diagnostic certainty within the framework of most important clinical indications, the quantification of fibrosis, and with a very good correlation with the "gold standard" biopsy.

Conclusion: Based on its rising clinical relevance and the broad usage, MRE of the liver is increasingly used in many centers and in routine liver protocols. Therefore, basic knowledge of this method is essential for every radiologist.

Keywords: Elasticity imaging; Hepatic imaging; Liver fibrosis; Mechanical soft-tissue properties; Soft tissue stiffness.

Publication types

  • Review

MeSH terms

  • Elasticity Imaging Techniques*
  • Humans
  • Liver / pathology
  • Liver Cirrhosis* / diagnostic imaging
  • Liver Cirrhosis* / pathology
  • Liver Diseases* / diagnostic imaging
  • Liver Diseases* / pathology
  • Magnetic Resonance Imaging
  • Reproducibility of Results