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Table 3: Sensitivity, specificity, PPV, NPV, and misclassification error rate in the differentiation of tumor grades and genotypes
Sensitivity/Specificity, PPV/NPV cMRI^{^a} Multimodal MRI^{^b,^c}
Grade^{^b} 
    II 73/65%, 67/72% 84/82%, 82/84%
    III 65/73%, 72/67% 82/84%, 84/82%
    Misclassification error rate 31% 17%
Genotype^{^c} 
    1p/19q Loss 23/70%, 33/59% 29/79%, 46/64%
    1p/19q Intact 70/23%, 59/33% 79/29%, 64/46%
    Misclassification error rate 48% 40%
Note:—CE indicates contrast enhancement; NPV, negative predictive value; PPV, positive predictive value.
The 6 most important predictors arising from the random forest analyses are:
↵a CE+Location+Necrosis+Hemorrhage+Edema+Tumor borders
↵b rCBF+rCBV+CE+ADC+Hemorrhage+ NAA/Cho at short TE
↵c Location+ADC+rCBF+Cho/H2O+ NAA/Cr+lipids/H₂O at short TE.

Sensitivity/Specificity, PPV/NPV	cMRI^{^a}	Multimodal MRI^{^b,^c}
Grade^{^b}
II	73/65%, 67/72%	84/82%, 82/84%
III	65/73%, 72/67%	82/84%, 84/82%
Misclassification error rate	31%	17%
Genotype^{^c}
1p/19q Loss	23/70%, 33/59%	29/79%, 46/64%
1p/19q Intact	70/23%, 59/33%	79/29%, 64/46%
Misclassification error rate	48%	40%