Table 3.
PTV | |||||||
Dmin | D10 | D50 | D95 | Dmean | Dmax | ||
DCG | Mean (Gy) | 0.160 | 0.081 | 0.088 | 0.081 | 0.083 | 0.161 |
SD (Gy) | 0.227 | 0.049 | 0.058 | 0.059 | 0.055 | 0.123 | |
FCN | Mean (Gy) | 0.158 | 0.138 | 0.125 | 0.130 | 0.131 | 0.260 |
SD (Gy) | 0.171 | 0.121 | 0.134 | 0.102 | 0.124 | 0.247 | |
GAN | Mean (Gy) | 0.062 | 0.197 | 0.171 | 0.160 | 0.177 | 0.336 |
SD (Gy) | 0.055 | 0.239 | 0.258 | 0.146 | 0.231 | 0.211 | |
p-value (DCG vs FCN) | 0.020 | 0.358 | 0.491 | 0.272 | 0.422 | 0.170 | |
p-value (DCG vs GAN) | 0.083 | 0.878 | 0.977 | 0.693 | 0.933 | 0.334 | |
p-value (FCN vs GAN) | 0.745 | 0.588 | 0.555 | 0.686 | 0.587 | 0.793 | |
Liver | |||||||
D min | D 10 | D 50 | D 95 | D mean | D max | ||
DCG | Mean (Gy) | 0.002 | 0.063 | 0.027 | 0.005 | 0.030 | 0.141 |
SD (Gy) | 0.002 | 0.051 | 0.031 | 0.013 | 0.025 | 0.106 | |
FCN | Mean (Gy) | 0.001 | 0.073 | 0.027 | 0.003 | 0.023 | 0.257 |
SD (Gy) | 0.001 | 0.060 | 0.035 | 0.005 | 0.028 | 0.248 | |
GAN | Mean (Gy) | 0.002 | 0.094 | 0.047 | 0.005 | 0.037 | 0.284 |
SD (Gy) | 0.002 | 0.144 | 0.075 | 0.008 | 0.068 | 0.230 | |
p-value (DCG vs FCN) | 0.771 | 0.376 | 0.815 | 0.720 | 0.686 | 0.102 | |
p-value (DCG vs GAN) | 0.915 | 0.976 | 0.506 | 0.552 | 0.683 | 0.378 | |
p-value (FCN vs GAN) | 0.415 | 0.218 | 0.331 | 0.355 | 0.206 | 0.439 |
DCG, dense-cycle-GAN; FCN, fully convolutional neural network; GAN, generative adversarial network; PTV, planning target volume; SD, standard deviation.
Mean,SD and p-value are based on the absolute difference.