Research Article
A Comparative Study of 2 Different Segmentation Methods of ADC Histogram for Differentiation Genetic Subtypes in Lower-Grade Diffuse Gliomas
Table 3
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 | | | 0.713a | 0.481 | ADCmin | | | -0.26a | 0.795 | P5 ADC | | | 0.147a | 0.884 | P10 ADC | | | 0.230a | 0.820 | P25 ADC | | | 0.287a | 0.776 | P50 ADC | | | 0.364a | 0.718 | P75 ADC | | | 0.959a | 0.344 | P90 ADC | | | 1.280a | 0.209 | P95 ADC | | | 1.609a | 0.117 | ADCmax | | | 2.145a | 0.044 | ADCmode | | | -0.037a | 0.971 | Kurtosis | -0.342 (-0.518, 1.988) | -0.354 (-0.482, 0.080) | -0.253b | 0.800 | Skewness | -0.200 (-0.446, 0.912) | -0.227 (-0.526, 0.183) | -0.886b | 0.376 | StDev | 288.203 (215.733, 366.08) | | -1.487b | 0.137 | Inhomogenity | 0.172 (0.155, 0.244) | | -1.361b | 0.173 | Range | | | 2.007a | 0.057 | Entropy | | | -0.944a | 0.352 |
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a, t value; b, Z value.
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