Background <p>Glioma is the most common malignant tumor histologically. Multiparametric MRI helps differentiate high-grade glioma (HGG) and low-grade glioma (LGG). Neoangiogenesis of glioma causes increased permeability which can be measured quantitatively with the parameters of volume transfer constant (<i>K</i>_trans), extravascular extracellular volume (<i>V</i>_e), and mean return flow (<i>K</i>_ep) through dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The aim of this study was to analyze the values of Ktrans, Ve, and Kep which are quantitative parameters of DCE-MRI as a predictor of high-grade glioma.</p> Methods <p>Thirty-five patients with intracranial space-occupying lesions with conventional MRI results of intracranial neoplasms underwent DCE-MRI. Permeability parameters such as K_trans, V_e, and K_ep from DCE-MRI were compared with histopathological grading. Receiver operating characteristic (ROC) curves were used to assess the diagnostic test of K_trans, V_e, and K_ep in glioma grading.</p> Results <p>ROC curve analysis showed that K_trans is good to be used as a predictor of HGG, while V_e and K_ep are good enough to be used as predictor of HGG. The cutoff value K_trans was 1.002 with sensitivity 84.6%, specificity 78%, positive predictive value 91.6%, negative predictive value 63.6%, and odds ratio 2.52. The cutoff value V_e was 0.546 with sensitivity 92.3%, specificity 56%, positive predictive value 85.7%, negative predictive value 71.4%, and odds ratio 3. The cutoff value K_ep was 2.766 with sensitivity 61.5%, specificity 89%, positive predictive value 94.1%, negative predictive value 44%, and odds ratio 1.69.</p> Conclusions <p>DCE-MRI can be used as a predictor of HGG through permeability parameters such as K_trans and V_e. Among the three DCE-MRI quantitative parameters, K_trans is the best parameter in this study. By measuring the degree of tumor permeability using DCE-MRI, it is expected to distinguish between HGG and LGG through a noninvasive method.</p>