TABLE 3.

The diagnostic performances of ADC histogram parameters that were statistically different between IDHmut/MGMTmet and the other glioma group, minimum ADC and mean ADC of direct measurements and multivariate logistic regression models.

Variable	AUC	95% CI	Cut-off value	Sensitivity	Specificity
ADC histogram parameters
10th percentile	0.860	0.787–0.934	937.50	80.0%	83.3%
90th percentile	0.759	0.673–0.846	1216.00	100.0%	42.3%
Mean	0.823	0.748–0.899	1108.79	85.0%	69.2%
Median	0.824	0.748–0.900	1085.50	85.0%	67.9%
Minimum	0.655	0.545–0.766	553.50	57.5%	75.6%
Root mean squared	0.818	0.742–0.893	1111.21	85.0%	67.9%
Kurtosis	0.666	0.567–0.765	5.07	87.5%	41.0%
Skewness	0.726	0.632–0.821	0.78	85.0%	59.0%
Direct ADC measurements
Minimum ADC	0.810	0.721–0.899	945.50	65.0%	91.0%
Mean ADC	0.844	0.770–0.918	1073.17	67.5%	89.7%
Multivariate logistic regression models
ADC histogram parameters	0.916	0.868–0.964		82.5%	85.9%
Direct ADC measurements	0.851	0.780–0.921		67.5%	88.5%
ADC histogram parameters + direct ADC measurements	0.938	0.896–0.980		87.5%	87.2%

AUC, area under the ROC curve; CI, confidence interval.