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RecruitingNCT06955208Updated Feb 12, 2026

3D MRE-Based Evaluation of Meningioma Mechanical Properties and Histological Features

An interventional study of Magnetic Resonance Elastography and Intraoperative Assessment and Recording in Meningioma, sponsored by Shengjing Hospital. Recruiting at 1 site in China. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-02-12.

Sponsored by Shengjing Hospital · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Registered 2 years 6 months after the study started (first participant enrolled Oct 2022, registered Apr 2025).
  • Started Oct 2022; still recruiting 4 years later.
Phase
Not applicable
Study type
Interventional
Enrollment
300
Allocation
Not applicable
Ages
18 Years to 80 Years
Sex
All
01

Study summary

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.

Read the detailed description

Meningiomas are the most common primary intracranial tumors and are often surgically resectable. However, the intraoperative texture and adhesion of the tumor to surrounding structures vary widely and directly impact the surgical approach, difficulty, and outcomes. Current preoperative imaging lacks the ability to quantitatively assess biomechanical properties such as stiffness and adhesion, which are critical for neurosurgical planning.

This prospective clinical trial investigates the application of 3D magnetic resonance elastography (MRE) in characterizing the biomechanical properties of meningiomas. Specifically, it aims to quantify tumor stiffness and adhesion using MRE-derived shear modulus maps and correlate these measurements with intraoperative surgeon-assessed stiffness/adhesion scores and postoperative histopathology. The study will also assess the diagnostic performance of MRE in predicting challenging resections, high tumor adhesion, and histological subtypes.

Approximately 300 patients with radiologically confirmed meningioma scheduled for elective resection will be enrolled. Participants will undergo standard MRI and additional 3D MRE scanning. Intraoperative findings including tumor stiffness, adhesion, blood supply, and resection difficulty will be systematically recorded. Postoperative pathological analysis will include tumor grade and histological subtype. Statistical analyses will evaluate correlations, diagnostic accuracy, and potential prognostic value.

Findings from this study may support the use of 3D MRE as a valuable noninvasive tool in preoperative assessment of meningiomas, helping optimize surgical strategies, reduce complications, and inform treatment decisions.

02

Conditions studied

  • Meningioma

Keywords

  • Magnetic resonance elastography
  • Meningioma
  • Stiffness
  • Adhesion
  • Neurosurgery
03

In context

Meningioma

255 studies on the registry are indexed under Meningioma; 85 are open to participants now.

This study's planned enrollment of 300 is above the median of 40 across 180 interventional studies indexed under Meningioma.

Browse Meningioma studies →

Lead sponsor

Shengjing Hospital is the lead sponsor of 127 studies on the registry; 59 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • All patients undergoing meningeoma resection surgery are eligible for inclusion in the study cohort.

Exclusion criteria

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 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
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

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Informed consent

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05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
300 participants (estimated)

Study arms

  • Experimental
    MRE-Guided Surgery Group

    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.

    Diagnostic Test: Magnetic Resonance Elastography · Procedure: Intraoperative Assessment and Recording

Interventions

  • Diagnostic testMagnetic Resonance Elastography

    Participants will undergo preoperative 3D MRE to quantify tumor stiffness and generate adhesion maps. MRE is performed as an adjunct to standard brain MRI, using 60 Hz vibration frequency and specialized elastogram processing software. The resulting stiffness and adhesion data are made available to the neurosurgical team for surgical planning.

    Also known as: MRE

  • ProcedureIntraoperative Assessment and Recording

    During surgical resection, the neurosurgical team will systematically assess and record tumor stiffness, adhesion to surrounding structures, vascularity, resection time, and technical difficulty using a standardized intraoperative scale. These intraoperative findings will be compared to preoperative MRE parameters to evaluate the diagnostic and predictive value of MRE.

06

What researchers measure

Primary outcomes

  1. Agreement Between MRE Stiffness and Intraoperative Tumor Consistency

    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.

    Time frame: Intraoperative (Day of Surgery)

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Hughes 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. PubMed 26197204 ↗
  • Yin 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. PubMed 33852045 ↗
  • Yin 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. PubMed 28194925 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 12, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06955208
Lead sponsor
Shengjing Hospital
Responsible party
Yu Shi (Professor, Shengjing Hospital) — Principal investigator
First posted
May 2, 2025
Start date
Oct 19, 2022
Primary completion
Oct 9, 2026 (estimated)
Completion
Oct 9, 2027 (estimated)
Last update
Feb 12, 2026

Study contacts

Yu Shi, MD
Contact
18940259980@163.com
+86 189 4025 9980
Wen Cheng, MD
Contact
cmu071207@163.com
15040235535
Yu Shi, MD
principal investigator · Shengjing Hospital
Anhua Wu, MD
principal investigator · Shengjing Hospital
Wen Cheng, MD
principal investigator · Shengjing Hospital

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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