ArticleAJNR. American journal of neuroradiology2024
Preoperative Assessment of Meningioma Consistency Using a Combination of MR Elastography and DTI.
Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Simultaneous Acquisition of Magnetic Resonance Elastography (MRE) and Diffusion Tensor Imaging (DTI) Optimized for Human Brain.Magnetic resonance in medicine · 2026Article
- Mapping radiosensitivity in glioblastoma using MR elastography and biomechanical modeling.Scientific reports · 2026Article
- Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.Acta neurochirurgica · 2026Review
- Stiffness and Tissue Viscosity in a Cerebral Neoplasm Measured by Preoperative Multifrequency Magnetic Resonance Elastography (MRE) Guide the Differential Diagnosis of Brain Tumors by Ruling Out Glioma.Case reports in medicine · 2026Article
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6 authors.
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Abstract
background and purposePreoperative assessment of meningioma consistency is beneficial for optimizing surgical strategy and prognosis of patients. We aim to develop a noninvasive prediction model for meningioma consistency utilizing MR elastography and DTI. MATERIALS AND
methodsNinety-four patients (52 ± 22 years old, 69 women, 25 men) diagnosed with meningioma were recruited in the study. Each patient underwent preoperative T1WI, T2WI, DTI, and MR elastography. Combined MR elastography-DTI model was developed based on multiple logistic regression. Intraoperative tumor descriptions served as clinical criteria for evaluating meningioma consistency. The diagnostic efficacy in determining meningioma consistency was evaluated by using a receiver operating characteristic curve. Further validation was conducted in 27 stereotactic biopsies by using indentation tests and underlying mechanism was investigated by histologic analysis.
resultsAmong all the imaging modalities, MR elastography demonstrated the highest efficacy with the shear modulus magnitude (|G*|) achieving an area under the curve (AUC) of 0.81 (95% CI: 0.699-0.929). When combined with DTI, the diagnostic accuracy further increased (AUC: 0.88, 95% CI: 0.784-0.971), surpassing any technique alone. Indentation measurement based on stereotactic biopsies further demonstrated that the MR elastography-DTI model was suitable for predicting intratumor consistency. Histologic analysis suggested that meningioma consistency may be correlated with tumor cell density and fibrous content.
conclusionsThe MR elastography-DTI combined model is effective in noninvasive prediction of meningioma consistency.
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