Table 3.

ROC curve analysis of diffusion metrics for differentiation of inflammation and glioma.

	Cut-off	AUC (95%CI)	p	Sensitivity	Specificity	Accuracy
MK	0.600	0.855 (0.737,0.972)	< 0.001	0.778	0.872	0.842
FA	0.171	0.679 (0.516,0.843)	0.016	0.667	0.718	0.702
MD	0.962	0.758 (0.599,0.917)	< 0.001	0.778	0.769	0.772
MSD	21.3	0.647 (0.482,0.812)	0.041	0.778	0.538	0.614
NG	0.150	0.879 (0.776,0.982)	< 0.001	0.778	0.923	0.877
QIV	61.1	0.742 (0.582,0.902)	0.002	0.833	0.692	0.737
RTOP	2.01	0.795 (0.645,0.945)	< 0.001	0.778	0.846	0.825
ICVF	0.221	0.825 (0.698,0.951)	< 0.001	0.833	0.718	0.754
ODI	0.399	0.526 (0.331,0.72)	0.398	0.333	0.923	0.737