Objective: To evaluate the clinical application of 1H magnetic resonance spectroscopy (1H-MRS) by analyzing the metabolic state in grading tumors of the neuroepithelial tissue. Methods: A total of 52 patients (34 male, 18 female, age from 16 to 56 years with mean age of 39 years) were investigated by combined MRI/MRS on a 3.0 T scanner and confirmed to be tumors of neuroepithelial tissue (glioma) by postoperative pathology. Tumors were classified by WHO classification standard. Axial T1-weighted and T2-weighted images were obtained, then multivoxel MRS was performed by using point-resolved spectroscopy (PRESS) with TR/TE = 2000/ 144 ms. Finally, contrast axial T1-weighted IR sequence was performed with TR/TE/TI = 2400/24/860 ms. Quantitative analysis was performed on variations of brain metabolites by MR imaging, anatomic images and metabolic images by Functool software (Version 4.0). Results: Fifty-two patients included 29 grade II (13 astrocytoma, 7 oligodendroglioma, 9 oligoastrocytoma), 11 grade III (7 anaplastic astrocytoma, 2 anaplastic oligodendroglioma, 2 anaplastic oligoastrocytoma), and 12 grade IV (11 glioblastoma, 1 gliosarcoma) tumors. The degree of tumor malignancy could be evaluated by 1H-MRS. The grade II tumors were sorted to low-grade group and grade III and IV were classified as high-grade group, and there was great difference between low-grage and high-grade group for the ratios of Lip(Lac)/Cr, Lip(Lac)/NAA, Lip(Lac)/Cho, and Lip(Lac). Median of those ratios was 0.14, 0.16, 0.09, and 0.32 in low-grade group, and 1.64, 1.24, 0.87, and 1.68 in high-grade group, respectively. Statistical analysis demonstrated a threshold values of 0.425 for Lip (Lac)/Cr to provide sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 87.0%, 96.6%, 95.2%, and 90.3%, respectively. Sensitivity, specificity, PPV, and NPV for grading glioma with conventional MR imaging were 87.0%, 82.8%, 80.0%, and 88.9%, respectively. Conclusion: 1H-MRS can show the tumor's heterogenous character, judge the degree of malignancy before operation, and supply the metabolic information. 1H-MRS is a useful tool in formulating clinical treatment program such as operation therapy and radiotherapy, and estimating the prognosis.