Clinical trial · Interventional
3D MRE-Based Evaluation of Meningioma Mechanical Properties and Histological Features
Evaluation of Meningioma Mechanical Properties and Histological Features Using Three-Dimensional Magnetic Resonance Elastography
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This prospective single-center study aims to evaluate the feasibility and clinical utility of three-dimensional magnetic resonance elastography (3D MRE) in assessing tumor stiffness and adhesion in patients with meningioma undergoing surgical resection. By correlating preoperative MRE-derived stiffness and adhesion maps with intraoperative findings and histopathological features, the study seeks to determine whether MRE can serve as a noninvasive imaging biomarker for surgical planning, risk stratification, and prediction of tumor behavior.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Meningioma | Meningioma | ONTOLOGY_EXACT | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Intraoperative Assessment and Recording | Procedure | — | UNRESOLVED |
| Magnetic Resonance Elastography | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- MRE-Guided Surgery Group
- description
- Participants in this group will undergo preoperative three-dimensional magnetic resonance elastography (3D MRE) in addition to routine MRI. MRE will be used to quantify tumor stiffness and generate a three-dimensional adhesion map. These imaging findings will be provided to the neurosurgical team prior to surgery to assist in planning the surgical approach and anticipating tumor consistency and adhesiveness. Intraoperative outcomes such as resection time, blood loss, and dissection difficulty will be recorded and analyzed in relation to preoperative MRE parameters.
- interventionNames
- Diagnostic Test: Magnetic Resonance Elastography
- Procedure: Intraoperative Assessment and Recording
Primary outcomes (1)
- measure
- Agreement Between MRE Stiffness and Intraoperative Tumor Consistency
- timeFrame
- Intraoperative (Day of Surgery)
- description
- The primary outcome is the correlation between preoperative 3D MRE-derived shear stiffness values and intraoperative tumor consistency as assessed by the neurosurgeon using a standardized ordinal scale (1-5). Agreement will be evaluated using Spearman correlation and Bland-Altman analysis.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * All patients undergoing meningeoma resection surgery are eligible for inclusion in the study cohort. Exclusion Criteria: * Patients with metallic implants or foreign bodies in their bodies (pacemakers, artificial metallic heart valves, metal joints, metal implants, and those who can not remove dentures, insulin pumps, or contraceptive rings) * Pregnant women in the first trimester (within three months) * Patients with severe claustrophobia or anxiety * Patients with severe fever * Patients who can not tolerate MRE * Patients with vascular malformations and aneurysms. * Patients who do not sign an informed consent
References
Publications (3)
- BACKGROUNDHughes JD, Fattahi N, Van Gompel J, Arani A, Meyer F, Lanzino G, Link MJ, Ehman R, Huston J. Higher-Resolution Magnetic Resonance Elastography in Meningiomas to Determine Intratumoral Consistency. Neurosurgery. 2015 Oct;77(4):653-8; discussion 658-9. doi: 10.1227/NEU.0000000000000892. PMID 26197204
- BACKGROUNDYin Z, Lu X, Cohen Cohen S, Sui Y, Manduca A, Van Gompel JJ, Ehman RL, Huston J 3rd. A new method for quantification and 3D visualization of brain tumor adhesion using slip interface imaging in patients with meningiomas. Eur Radiol. 2021 Aug;31(8):5554-5564. doi: 10.1007/s00330-021-07918-6. Epub 2021 Apr 14. PMID 33852045
- BACKGROUNDYin Z, Hughes JD, Trzasko JD, Glaser KJ, Manduca A, Van Gompel J, Link MJ, Romano A, Ehman RL, Huston J 3rd. Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion. J Magn Reson Imaging. 2017 Oct;46(4):1007-1016. doi: 10.1002/jmri.25623. Epub 2017 Feb 14. PMID 28194925