Publication Details
Issue: Vol 7, No 3 (2026)
Pages: 577-582
ISSN: 2660-4159

Abstract

Dental Glioblastoma (GBM) is the most aggressive primary brain tumor in adults, characterized by rapid infiltrative growth, a poor prognosis, and a high rate of recurrence. Magnetic resonance imaging (MRI) remains the gold standard for non-invasive diagnosis, treatment planning, and postoperative monitoring of GBM. This review examines current advances in MRI-based neuroimaging of glioblastoma, with emphasis on tractography, magnetic resonance spectroscopy (MRS), perfusion imaging, automated segmentation, deep learning-assisted diagnosis, and intraoperative MRI. A synthesis of recent literature demonstrates that multiparametric and advanced MRI techniques substantially improve diagnostic accuracy, facilitate safer maximal surgical resection, and support the differentiation of tumor progression from treatment-related changes, thereby contributing to improved patient outcomes.

Keywords
glioblastoma MRI tractography magnetic resonance spectroscopy neuroimaging brain tumors speckle tracking perfusion imaging deep learning intraoperative MRI