MRE Evaluation for Spinal Cord Tumor Surgery: Stiffness and Adhesion Assessment
NCT ID: NCT05957679
Last Updated: 2026-02-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
20 participants
INTERVENTIONAL
2023-01-01
2027-09-01
Brief Summary
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The stiffness of the tumor dictates the complexity of removal, while strong adhesion presents additional challenges during the surgical procedure.
This clinical trial aims to assess the clinical utility of magnetic resonance elastography (MRE), in evaluating the stiffness and adhesion of spinal cord tumors and guiding surgical planning to selecting the most appropriate surgical approach for patients with spinal cord tumors.
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Detailed Description
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Magnetic resonance imaging (MRI) plays a crucial role in the preoperative evaluation and planning of spinal cord tumor surgery. It provides detailed information about the tumor's location, size, and relationship to adjacent structures.
However, routine MRI may not always provide sufficient information about the tumor's stiffness or adhesion, which can impact surgical planning and postoperative outcomes. Magnetic resonance elastography and slip interface imaging can help measure the mechanical properties of tissues, including their stiffness or adhesion.
By combining the above methods, surgeons can identify areas of potential tumor adherence or invasion into surrounding structures, allowing for more precise surgical resection and minimizing the risk of damage to critical neural tissue.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Diagnostic（MRE, tumor grading of stiffness and adhesion）
Patients undergo a preoperative routine MRI scan and MRE the day before their scheduled surgery. During surgery, the tumor stiffness and adhesion are assessed and recorded by the surgeon according to established evaluation criteria. It is important to note that the surgeon does not have prior knowledge of the tumor's specific stiffness and adhesion before the surgery. This information is typically obtained through intraoperative assessment and observation.
Magnetic Resonance Elastography
Undergo MRE and routine MRI
Assessment and Recording
Undergo grading and recording of tumor stiffness and adhesion during surgery
Interventions
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Magnetic Resonance Elastography
Undergo MRE and routine MRI
Assessment and Recording
Undergo grading and recording of tumor stiffness and adhesion during surgery
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* 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
18 Years
80 Years
ALL
Yes
Sponsors
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Shengjing Hospital
OTHER
Responsible Party
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Yu Shi
Deputy director of department of radology
Principal Investigators
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Yu Shi, MD
Role: PRINCIPAL_INVESTIGATOR
Shengjing Hospital
Anhua Wu, MD
Role: PRINCIPAL_INVESTIGATOR
Shengjing Hospital
Wen Cheng, MD
Role: PRINCIPAL_INVESTIGATOR
Shengjing Hospital
Locations
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Shengjing Hospital
Shenyang, Liaoning, China
Countries
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Central Contacts
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Facility Contacts
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References
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Murphy MC, Huston J 3rd, Glaser KJ, Manduca A, Meyer FB, Lanzino G, Morris JM, Felmlee JP, Ehman RL. Preoperative assessment of meningioma stiffness using magnetic resonance elastography. J Neurosurg. 2013 Mar;118(3):643-8. doi: 10.3171/2012.9.JNS12519. Epub 2012 Oct 19.
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.
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.
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.
Other Identifiers
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ShengjingH_brain2023
Identifier Type: -
Identifier Source: org_study_id
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