Introduction: Glioblastoma (GBM) is the most common and lethal Central Nervous System (CNS) malignant cancer, and the exclusion of differential diagnoses - eg primary central nervous system lymphoma (PCNSL) - often occurs via various Magnetic Resonance Imaging (MRI) methodologies. Objective: To describe which best image sequences are critical for greater accuracy in the diagnosis of GBM and for their distinction from other CNS tumors. Methods: This is a literature narrative review, initiated by research in Pubmed database, using associated Key words: “Glioblastoma” and “Magnetic Resonance”; and filters: systematic reviews + last 5 years publications. Productions that didn’t meet the objective were discarded. Results: MRI has accuracy for diagnosing GBM using the combination T2 + FLAIR + T1 with pre and post-gadolinic contrast. Diffusion and perfusion-weighted MRI association show an improvement in specificity. Computed tomography is used when MRI is unviable, identifying calcifications or hemorrhages and determining the lesion location and surgical potential. Also, spectroscopic MRI, diffusion tensor imaging and PET 18F-FDG, and 11C-MET were reported as important additional diagnostic criteria. Diffusion MRI (DWI) is a non-invasive, convenient, economical, and quick procedure when compared to GBM biopsy. Therefore, adding reliable evidence for moderate differentiation between GBM and PCNSL through DWI. Conclusion: Reliable methods are needed for GBM accurate diagnosis and its differential diagnoses, using at least T2 + FLAIR + T1, and physiological exams to enhance specificity.