Table 3.

Univariate, the area under the curves, the optimal cutoff values, and corresponding sensitivities and specificities based on ROC curves in grading gliomas.

Variables	Cut-off value	Sensitivity	Specificity	AUC (95% CI)	P
NODDI parameter
TP icvf	0.306	0.875	0.778	0.806 (0.660, 0.952)	0.001
TP ODI	0.338	0.583	0.833	0.723 (0.569, 0.878)	0.014
PT icvf	0.331	0.625	0.889	0.731 (0.573, 0.890)	0.011
DTI parameter
TP FA	0.161	0.667	0.778	0.730 (0.574, 0.887)	0.011
TP MD	1.600	0.958	0.444	0.731 (0.577, 0.886)	0.011
PT FA	0.199	0.542	0.833	0.718 (0.561, 0.874)	0.017
PT MD	1.210	0.750	0.889	0.775 (0.625, 0.926)	0.002

TP: tumour parenchyma; PT: peritumoural area; icvf: intracellular volume fraction; ODI: orientation dispersion index; FA: fractional anisotropy; MD: mean diffusion (×10⁻³ mm²/s).