Research Article
A Comparative Study of 2 Different Segmentation Methods of ADC Histogram for Differentiation Genetic Subtypes in Lower-Grade Diffuse Gliomas
Table 4
ADC histogram parameters for IDHmut/1p19q− tumors using different ROI methods.
| Values(×10-6 mm2/s) | The tumor ROI | The tumor ROI excluding cystic or necrotic portions | Test values | values |
| ADCmean | | | -1.445a | 0.156 | ADCmin | | | -0.075a | 0.941 | P5 ADC | | | -0.380a | 0.706 | P10 ADC | | | -0.391a | 0.698 | P25 ADC | | | -0.518a | 0.607 | P50 ADC | | | -0.766a | 0.448 | P75 ADC | | | -1.414a | 0.165 | P90 ADC | | | -2.360a | 0.023 | P95 ADC | | | -2.998a | 0.005 | ADCmax | | | -3.144a | 0.004 | ADCmode | 1158.50 (1093.50, 1329.88) | 1170.50 (1093.50, 1328.25) | -0.094b | 0.925 | Kurtosis | 1.191 (0.242, 2.290) | 0.102(-0.309, 0.328) | -3.157b | 0.002 | Skewness | | 0.378 (0.231, 0.642) | -3.898b | 0.001 | StDev | | | -3.360a | 0.002 | Inhomogenity | 0.197 (0.165,0.251) | | -2.900b | 0.004 | Range | 1939.25 (1391.00, 2733.13) | | -2.547b | 0.011 | Entropy | | | 1.450a | 0.155 |
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