Background: Accurate diagnosis and grading of brain tumors are critical for effective treatment. This study evaluated the diagnostic accuracy of Diffusion Weighted Imaging (DWI) and Magnetic Resonance Spectroscopy (MRS) compared to conventional MRI, with histopathology as the gold standard.Methods: This prospective study included 60 patients undergoing MRI for suspected brain tumors. Each patient was assessed using conventional MRI, DWI, and MRS. Apparent Diffusion Coefficient (ADC) values and metabolic ratios were analyzed, and diagnostic performance was compared to histopathological results. Statistical analysis was performed using SPSS, with p-values < 0.05 considered significant. Results:Glioblastomamultiforme was the most common tumor, comprising 26.7% of cases. MRS demonstrated a diagnostic accuracy of 82.5%, outperforming DWI (72.5%). MRS had a sensitivity of 75% and specificity of 90.9% for glioblastomamultiforme, while DWI had a sensitivity of 68.75% and specificity of 86.36%. The mean ADC values for high-grade gliomas (0.65 ± 0.13 × 10⁻³ mm²/s) were significantly lower than for low-grade gliomas (1.02 ± 0.16 × 10⁻³ mm²/s; p < 0.001).Conclusion: MRS is a reliable tool for non-invasive brain tumor grading, showing higher diagnostic accuracy than DWI. Combining DWI and MRS with conventional MRI could enhance diagnostic precision, guiding better treatment planning. Future research should explore integrated imaging approaches for improved tumor diagnosis and monitoring.