Clinical trial · Observational
3D MRE-Based Evaluation of Vestibular Schwannoma Mechanical Properties and Histological Features
Evaluation of Vestibular Schwannoma Mechanical Properties and Histological Features Using Three-Dimensional Magnetic Resonance Elastography
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 29, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260929-000001
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 vestibular schwannoma 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 risk stratification and prediction of tumor behavior, and to evaluate the relationship between MRE characterization of tumor mechanical features and patients' clinical prognosis.
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 |
|---|---|---|---|
| Vestibular Schwannoma | Vestibular Schwannoma | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- MRE diagnostic test group
- description
- Participants in this group will undergo preoperative three-dimensional magnetic resonance elastography (3D MRE) . MRE will be used to quantify tumor stiffness and generate a three-dimensional adhesion map. The facial nerve function after surgery will be followed up 3 - 6 months after the operation.
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
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * All patients undergoing vestibular schwannoma 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)
- BACKGROUNDCheng W, Bai S, Zeng Y, Zheng K, Hong Y, Han S, Zhang T, Guo M, Liu T, Wu J, Manduca A, Huston Iii J, Sheng Y, Wu Q, Jiao N, Yin Z, Shi Y, Wu A. Magnetic resonance elastography characterization of meningioma mechanical properties for improved neurosurgical planning and resection a prospective cohort study. Int J Surg. 2025 Dec 11. doi: 10.1097/JS9.0000000000004199. Online ahead of print. PMID 41376349
- BACKGROUNDDuhon BH, Thompson K, Fisher M, Kaul VF, Nguyen HT, Harris MS, Varadarajan V, Adunka OF, Prevedello DM, Kolipaka A, Ren Y. Tumor biomechanical stiffness by magnetic resonance elastography predicts surgical outcomes and identifies biomarkers in vestibular schwannoma and meningioma. Sci Rep. 2024 Jun 24;14(1):14561. doi: 10.1038/s41598-024-64597-1. PMID 38914647
- RESULTYin Z, Glaser KJ, Manduca A, Van Gompel JJ, Link MJ, Hughes JD, Romano A, Ehman RL, Huston J 3rd. Slip Interface Imaging Predicts Tumor-Brain Adhesion in Vestibular Schwannomas. Radiology. 2015 Nov;277(2):507-17. doi: 10.1148/radiol.2015151075. Epub 2015 Aug 6. PMID 26247776