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• W2019466822 abstract "To determine whether metabolite ratios in multivoxel 3D proton MR spectroscopy (1H MRS) is different between low-grade and high-grade gliomas and may be useful for glioma grading. Thirty-nine patients (23 male and 16 female; 22–75 years old; mean age, 44.92±12.65 years) suspected of having gliomas underwent 3D 1H MRS examinations. Metabolite ratios [choline (Cho)/creatine (Cr), N-acetylaspartate (NAA)/Cr and Cho/NAA] were measured. Tumor grade was determined by using the histopathologic grading. Receiver operating characteristic analysis of metabolite ratios was performed, and optimum thresholds for tumor grading were determined. The resulting sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for identifying high-grade gliomas were calculated. Diagnostic-quality 3D 1H MRS with readily quantifiable Cho, Cr and NAA peaks was obtained in 94.87% of the cases. The Cho/Cr and Cho/NAA ratios were significantly higher in high-grade than in low-grade glioma (P<.001), whereas the NAA/Cr ratios were significantly lower in high-grade than in low-grade glioma (P<.001). Receiver operating characteristic analysis demonstrated a threshold value of 2.04 for Cho/Cr ratio to provide sensitivity, specificity, PPV and NPV of 84.00%, 83.33%, 91.30% and 71.43%, respectively. Threshold value of 2.20 for Cho/NAA ratio resulted in sensitivity, specificity, PPV and NPV of 88.00%, 66.67%, 84.62% and 72.73%, respectively. Overall diagnostic accuracy was not statistically significantly different between Cho/Cr and Cho/NAA ratios (χ2=0.093, P=.76). Metabolite ratios of low-grade gliomas were significantly different from high-grade gliomas. Cho/Cr and Cho/NAA ratios could have the superior diagnostic performance in predicting the glioma grade." @default.
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• W2019466822 date "2011-01-01" @default.
• W2019466822 modified "2023-09-26" @default.
• W2019466822 title "Noninvasive evaluation of cerebral glioma grade by using multivoxel 3D proton MR spectroscopy" @default.
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• W2019466822 doi "https://doi.org/10.1016/j.mri.2010.07.017" @default.
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