Glioma
Conditions
Keywords
Magnetic Resonance Elastography, Brain tumor, Glioblastoma, MR elastography, Tumor molecular pathology
Brief summary
this study will investigate the relationship between tumor stiffness and adhesion in gliomas using MRE. By utilizing preoperative MRE and Intraoperative neuronavigation, followed by comprehensive molecular pathology analysis, we aim to explore the correlation of tumor stiffness and adhesion with molecular and genetic characteristics of gliomas. Additionally, the predictive value of MRE in terms of pathological staging and prognosis will be determined. This research may pave the way for improved clinical decision-making, personalized treatment approaches, and more accurate clinical trials for glioma patients.
Detailed description
Magnetic Resonance Elastography (MRE) is an advanced imaging technique that measures the mechanical properties of tissues, providing valuable information about tissue stiffness, elasticity, and adhesion. In the case of gliomas, a type of brain tumor arising from glial cells, MRE has shown promising potential in the diagnosis, classification, and prediction of pathological and molecular features. This clinical trial aims to investigate the relationship between tumor stiffness, adhesion, glioma grading, and genetic alterations by combining magnetic resonance elastography (MRE) imaging findings with molecular pathological analysis. Moreover, the study aims to predict patient survival based on the physical properties of the tumor. Preoperatively, we will use MRE to enhance the accuracy of navigation and determine tumor stiffness and adhesion properties. Intraoperatively, under the guidance of neuronavigation, tissue samples will be obtained, and the operating surgeon will assess the tumor's stiffness, elasticity, and degree of adhesion. Postoperatively, all tissue specimens will undergo molecular pathological analysis. The integration of MRE findings with molecular pathology data will enable precise classification and subtyping of gliomas. Furthermore, all patients will receive systematic treatment after surgery, and long-term follow-ups will be conducted. This comprehensive approach combining MRE, molecular pathology analysis, and clinical follow-up aims to investigate the predictive value of MRE in terms of molecular pathological features and prognosis in gliomas.
Interventions
Undergo MRE and routine MRI
Undergo recording of tumor stiffness during surgery and molecular pathological classification through genetic analysis
Sponsors
Study design
Eligibility
Inclusion criteria
1. age older than 18 years 2. Karnofsky performance status higher than 60 3. with written informed consent 4. MRE performed within one week before surgery 5. tumor diameter \> 2 cm
Exclusion criteria
1. previous treatment for glioma 2. inability to complete MRE due to intolerance (e.g., vibration-related discomfort or claustrophobia) 3. completed MRE with suboptimal wave image quality (e.g., motion artifacts or inad-equate wave amplitude) 4. failure to proceed with surgery after MRE 5. missing IDH results
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Surgical assessment of tumor stiffness | Baseline to 6 weeks | The surgeon will score the tumor stiffness in seven aspects, ranging from 1 to 5 points: Tumor size; Shape of tumor; Tumor texture; Stiffness of the tumor's capsule; Stiffness of the tumor's central region; Primary methods of tumor removal; Features of tumor's capsule. |
| Surgical assessment of tumor adhesion | Baseline to 6 weeks | The surgeon will score the tumor's adhesion based on seven aspects, ranging from 1 to 4 points: Stripping instruments; Frequency of use of sharp instruments; Adhesion range; Degree of tumor resection; Cranial nerve anatomy preservation; Brain tissue anatomy preservation; Neurological function (compared with preoperative). |
| Radiological assessment of tumor stiffness | MRE performed within one week before surgery | Tumor stiffness, measured in kilopascals (kPa), will be compared with its normal-appearing contralateral white matter using MRE by creating a lesion region of interest (ROI). Images were acquired on a 3T MR imaging unit with a vibration frequency of 60 Hz. The performance of the use of tumor stiffness to predict tumor grade was evaluated with the Wilcoxon rank sum, 1-way ANOVA, and Tukey-Kramer tests. |
Countries
China