Background: Most frequently occurring brain tumors are the neuroepithelial tumors. There is a need to have access to an imaging technique capable of enabling rapid and noninvasive diagnosis along with tumor monitoring. Diagnostic information in several pathological conditions can be evaluated by the mobility of water molecules in tissue, the technique known as Diffusion Weighted sequence of MRI. Therefore, this study was conducted with the objective to link the results of diffusion weighted MRI with the tumor's histopathological grade. The current study aims to evaluate this and determine the accuracy of diffusion weighted MRI to determine grade of glioma.
Aim: Role of Diffusion Weighted MR Imaging for Brain Tumor Characterization.
Methods: The present study was a hospital-based cross sectional purposive study. A total of 50 patients undergoing the MR evaluation of brain with evidence of clinically suspected cerebral mass were enrolled in study based on inclusion and exclusion criteria. Statistical analysis was performed.
Results: In our study the minimum ADC was significantly lower for high grade than for low-grade gliomas (1119.68 ± 138.33 vs. 717.18 ± 154.38, p <0.001)
Conclusions: By examining diffusion-weighted images and comparing the ADC of gliomas with the WHO grade, we analyse the potential of ADC in predicting tumour grade through this study
