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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.
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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.
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100 participants in 1 patient group
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Yu Shi, MD; Yu Zeng, PhD
Data sourced from clinicaltrials.gov
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