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. 2020 Sep 28;2020:9549361. doi: 10.1155/2020/9549361

Table 7.

ROC Curve analysis of different parameters for distinguishing IDHwt gliomas from IDHmut gliomas.

Parameter ROI AUC Specificity (%) Sensitivity (%) Cutoff value p value
ADCmin ROI-1 0.749 87.5 62.5 560.00 0.180
ROI-2 0.831 90.0 62.5 543.00

P5 ADC ROI-1
ROI-2 0.728 57.5 81.2 980.00

P75 ADC ROI-1 0.705 68.8 70.0 1688.25
ROI-2

P90 ADC ROI-1 0.709 68.8 77.5 1962.00
ROI-2

P95 ADC ROI-1 0.709 68.8 72.5 2164.75
ROI-2

ADCmax ROI-1 0.689 81.3 57.5 2849.00
ROI-2

Kurtosis ROI-1 0.734 87.5 56.2 -0.487 0.826
ROI-2 0.716 47.5 87.5 -0.042

StDev ROI-1 0.772 87.5 65.0 321.702 0.646
ROI-2 0.803 68.8 80.0 272.351

Inhomogenity ROI-1 0.788 81.3 75.0 0.229 0.013
ROI-2 0.930 93.8 82.5 0.186

Range ROI-1 0.734 81.3 60.0 2144.5 0.838
ROI-2 0.747 68.8 82.5 1977.5