From: A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer
Dataset | Index | Lung_L(V5Gy) | Lung_R(V5Gy) | Lung_L(V20Gy) | Lung_R(V20Gy) | PTV(D98%) | PTV(D2%) | P_spine(D2%) |
---|---|---|---|---|---|---|---|---|
4D-CBCT | RPD(%) | 9.34% | 5.68% | 1.08% | 2.32% | 1.46% | 3.44% | 3.66% |
 | vol(%)/dose(cGy) | 1.334 | 1.054 | 0.268 | 0.344 | 88.4 | 223.4 | 74.62 |
4D-sCT(Cyc) | RPD(%) | 3.58% | 2.14% | 0.26% | 0.88% | 0.76% | 0.30% | 0.54% |
 | vol(%)/dose(cGy) | 0.31 | 0.374 | 0.152 | 0.198 | 44.12 | 18.68 | 11.48 |
4D-sCT(CLC) | RPD(%) | 2.50% | 1.84% | 0.44% | 0.86% | 0.60% | 0.50% | 0.34% |
 | vol(%)/dose(cGy) | 0.252 | 0.318 | 0.104 | 0.184 | 36.18 | 31.24 | 6.22 |