MRE Evaluation for Spinal Cord Tumor Surgery: Stiffness and Adhesion Assessment

Trial Title: MRE Evaluation for Spinal Cord Tumor Surgery: Stiffness and Adhesion Assessment

NCT ID: NCT05957679

Condition: Spinal Cord Tumors

Conditions: Official terms:
Spinal Cord Neoplasms

Conditions: Keywords:
MRE
Slip Interface Imaging
Glioma
Magnetic Resonance Elastography
Spinal meningioma
Neurofibroma
Ependymoma
Astrocytoma
Glioblastoma
Spinal lipoma

Study type: Interventional

Study phase: N/A

Overall status: Recruiting

Study design:

Allocation: N/A

Intervention model: Single Group Assignment

Primary purpose: Diagnostic

Masking: None (Open Label)

Intervention:

Intervention type: Diagnostic Test
Intervention name: Magnetic Resonance Elastography
Description: Undergo MRE and routine MRI
Arm group label: Diagnostic（MRE, tumor grading of stiffness and adhesion）

Other name: MRE

Intervention type: Procedure
Intervention name: Assessment and Recording
Description: Undergo grading and recording of tumor stiffness and adhesion during surgery
Arm group label: Diagnostic（MRE, tumor grading of stiffness and adhesion）

Summary: In spinal cord tumors requiring surgical intervention, the resection difficulty is determined by two significant factors: tumor stiffness and adhesion to surrounding tissue. 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.

Detailed description: Spinal cord tumors are a common condition in neurosurgery, including neurofibroma, spinal meningioma, ependymoma, glioma, spinal lipoma, and so on. 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.

Criteria for eligibility:
Criteria:
Inclusion Criteria: - All patients undergoing spinal cord tumor 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 cannot 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

Gender: All

Minimum age: 18 Years

Maximum age: 80 Years

Healthy volunteers: Accepts Healthy Volunteers

Locations:

Facility:
Name: Shengjing Hospital

Address:
City: Shenyang
Zip: 110000
Country: China

Status: Recruiting

Contact:
Last name: Yu Shi, MD

Phone: +8618940259980
Email: 18940259980@163.com

Contact backup:
Last name: Anhua Wu, MD

Phone: +8618900925766
Email: wuanhua@yahoo.com

Investigator:
Last name: Yu Shi, MD
Email: Principal Investigator

Investigator:
Last name: Anhua Wu, MD
Email: Principal Investigator

Investigator:
Last name: Wen Cheng, MD
Email: Principal Investigator

Start date: January 1, 2023

Completion date: September 1, 2026

Lead sponsor:
Agency: Shengjing Hospital
Agency class: Other

Source: Shengjing Hospital

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05957679