Table 2:

Comparative diagnostic accuracy of investigated parameters differentiating IDH-mutant from IDH-wild-type gliomas^{^a}

Models and Parameters	AUC	95% CI	Optimal Cutoff	Sensitivity (%)	Specificity (%)	P Value
Nondiffusion
Enhancement^{^b}	0.77	0.66–0.88	0.5 ↓	88.2	65.2	<.001
Necrosis^{^b}	0.85	0.77–0.94	0.5 ↓	79.4	91.3	<.001
T2LFM^{^b}	0.57	0.44–0.70	0.5 ↑	13.0	100	.03
Hemorrhage^{^b}	0.78	0.67–0.88	0.5 ↓	61.8	93.5	<.001
ADC
ADC^{^c}	0.82	0.73–0.92	1.206 ↑	67.4	91.2	<.001
DTI
FA	0.59	0.45–0.73	0.174 ↓	50.0	82.6	.050
MD^{^c}	0.83	0.75–0.92	0.945 ↑	89.1	64.7	<.001
DKI
AK	0.90	0.83–0.97	0.583 ↓	88.2	84.8	<.001
RK	0.90	0.83–0.97	0.593 ↓	94.1	78.3	<.001
MK	0.90	0.83–0.97	0.567 ↓	94.1	78.3	<.001
KFA	0.55	0.42–0.68	0.807 ↑	63.2	84.2	.73
MKT	0.91	0.84–0.98	0.619 ↓	88.2	84.8	<.001
SMT
LMD^{^c}	0.62	0.48–0.75	2.967 ↑	73.9	58.8	.009
TMD^{^c}	0.87	0.79–0.95	0.528 ↑	78.3	91.2	<.001
µFA	0.91	0.84–0.98	0.535 ↓	91.2	84.8	<.001
µFA³	0.91	0.84–0.98	0.153 ↓	91.2	84.8	<.001
MMD^{^c}	0.85	0.77–0.94	1.369 ↑	67.4	91.2	<.001
INVF	0.91	0.84–0.98	0.339 ↓	91.2	84.8	<.001
ID^{^c}	0.72	0.61–0.83	2.006 ↑	69.6	70.6	<.001
ETMD^{^c}	0.77	0.66–0.87	1.301 ↑	76.1	67.6	<.001
EMMD^{^c}	0.65	0.53–0.78	1.502 ↑	67.4	67.6	.01

Note:—T2LFM indicates T2-FLAIR mismatch; FA, fractional anisotropy; MD, mean diffusivity; KFA, kurtosis fractional anisotropy; LMD, longitudinal microscopic diffusivity; µFA³, microscopic fractional anisotropy to the third power; MMD, microscopic mean diffusivity; ID, intrinsic diffusivity, ETMD, extra-neurite transverse microscopic diffusivity; EMMD, extra-neurite microscopic mean diffusivity.
↵a Optimal cutoff levels to predict IDH type were assessed by the Youden index. Cutoffs were evaluated by sensitivity and specificity. An upward arrow (↑) indicates a positive correlation, in which values above the cutoff point predict an IDH-mutant glioma, whereas a downward arrow (↓) indicates a negative correlation, in which values below the cutoff point predict an IDH-mutant glioma. P values were computed by comparing the AUC against chance performance.
↵b Binary variable, indicating the presence or absence of the feature.
↵c Units in mm²/s × 10⁻³.