Virtual magnetic resonance elastography predicts the intraoperative consistency of meningiomas
Open accessAbstract
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.
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vMRE-derived stiffness was associated with intraoperative consistency and heterogeneity in meningiomas, with higher stiffness associated with harder tumors and greater stiffness variation linked to more heterogeneous lesions.
“vMRE-derived stiffness was associated with intraoperative consistency and heterogeneity, with higher stiffness associated with harder tumors and greater stiffness variation linked to more heterogeneous lesions (Aunan-Diop et al., 2023).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Aunan-Diop et al., 2023
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Le Bihan, D. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1858655 · Cited by 1 · see citing works
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“…tumor firmness is difficult to predict on conventional MRI. vMRE-derived stiffness was associated with intraoperative consistency and heterogeneity, with higher stiffness associated with harder tumors and greater stiffness variation linked to more heterogeneous lesions ( Aunan-Diop et al., 2023).”
- Authors
- Aunan-Diop, J. S., Andersen, M. C. S., Friismose, A. I., Halle, B., Pedersen, C. B., Mussmann, B., Grønhøj, M. H., Nielsen, T. H., Jensen, U., & Poulsen, F. R.
- Affiliations
- Odense University Hospital (DK)
- University of Southern Denmark (DK)
- ORCID
- Venue
- Journal of Neuroradiology
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 50
- Issue
- 4
- Pages
- 396-401
- ISSN
- 0150-9861 (ISSN-L)
- OpenAlex
- W4308548634
- Cited by
- 25
- References
- 0
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 7 · 2023: 2
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroradiology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Epidemiology › Meningioma and schwannoma management
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- meningioma, tumor consistency, tissue stiffness, mechanical heterogeneity, meningioma resection, solitary fibrous tumor, preoperative imaging
- MeSH terms
- Humans, Magnetic Resonance Imaging, Meningeal Neoplasms, Meningioma, Neurosurgical Procedures, Elasticity Imaging Techniques
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