Glioma is the most common primary malignant brain tumor,and its grading is crucial for treatment decisions and prognosis.Currently,histopathology remains the gold standard for grading,but it requires invasive procedures and carries inherent risks.In contrast,magnetic resonance imaging(MRI),a non-invasive diagnostic tool,plays an indispensable role in glioma grading.However,traditional MRI assessment is hampered by interobserver subjectivity and limited repeatability,which compromise grading accuracy.In recent years,radiomics,a burgeoning field,has offered a promising solution to address these challenges.By extracting high-dimensional imaging data features,radiomics enables the quantification of tumor radiological characteristics and elimination of subjectivity-related discrepancies.This technology assists clinicians in more precisely assessing the malignancy of gliomas.This article summarizes relevant studies in the past five years on the application of MRI radiomics in preoperative glioma grading,aiming to provide valuable insights and guidance to researchers in the field and promote the clinician implementation of MRI radiomics.
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