Virtual magnetic resonance elastography predicts the intraoperative consistency of meningiomas

Jan Saip Aunan-Diop*, Mikkel Christian Schou Andersen, Ancuta Ioana Friismose, Bo Halle, Christian Bonde Pedersen, Bo Mussmann, Mads Hjortdal Grønhøj, Troels Halfeld Nielsen, Ulla Jensen, Frantz Rom Poulsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Background and purpose: Virtual magnetic resonance elastography (vMRE) is an experimental imaging modality designed to non-invasively predict the haptic properties of tissues. The modality is sensitive to tissue stiffness and fibrosis. Information about meningioma consistency prior to resection is of great interest in neurological surgery as the surgical plan and outcome may be affected by the tumor's stiffness. In this study, we assessed the ability of vMRE to predict the intraoperative consistency and mechanical heterogeneity of intracranial meningiomas. Materials and methods: We included 12 patients scheduled for meningioma resection, of which one patient was found to have a solitary fibrous tumor on histological examination. All participants underwent preoperative vMRE and intraoperative consistency grading. Results and Conclusions: Intraoperative qualitative consistency correlated positively with vMRE-based consistency assessment (odds ratio 5.63, 95% CI 1.12–28.30, p = 0.04) at b1000. Mechanically homogenous tumors had significantly lower ∆ mean stiffness than heterogeneous tumors (8.13 vs 18.07 kPa, p = 0.01). This study thus demonstrates a possible clinical application of vMRE in predicting the intraoperative consistency and mechanical heterogeneity of meningiomas.

Original languageEnglish
JournalJournal of Neuroradiology
Issue number4
Pages (from-to)396-401
Publication statusPublished - Jun 2023


  • Magnetic resonance imaging
  • Meningiomas
  • Neurosurgery
  • Stiffness
  • Tissue elasticity imaging
  • Tissue mechanics
  • Meningioma/diagnostic imaging
  • Neurosurgical Procedures
  • Elasticity Imaging Techniques/methods
  • Humans
  • Magnetic Resonance Imaging/methods
  • Meningeal Neoplasms/diagnostic imaging


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