From: A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer
RPD (%) | Dataset | Lung_L(V5Gy) (%) | Lung_R(V5Gy) (%) | Lung_L(V20Gy) (%) | Lung_R(V20Gy) (%) | PTV(D98%) (%) | PTV(D2%) (%) | P_spine(D2%) (%) |
---|---|---|---|---|---|---|---|---|
Patient01 | 4D-CBCT | 1.0 | 11.5 | 1.4 | 0.0 | 2.9 | 3.5 | 3.9 |
4D-sCT(Cyc) | 0.6 | 5.1 | 0.0 | 0.0 | 0.3 | 0.0 | 0.2 | |
4D-sCT(CLC) | 0.1 | 3.2 | 0.3 | 0.0 | 0.4 | 0.5 | 0.2 | |
Patient02 | 4D-CBCT | 22.2 | 5.4 | 0.0 | 0.7 | 0.7 | 5.2 | 6.6 |
4D-sCT(Cyc) | 13.5 | 2.7 | 0.0 | 1.8 | 1.4 | 0.3 | 2.1 | |
4D-sCT(CLC) | 6.8 | 1.6 | 0.0 | 0.9 | 0.8 | 0.2 | 0.8 | |
Patient03 | 4D-CBCT | 0.3 | 0.4 | 0.7 | 0.4 | 0.1 | 0.8 | 1.0 |
4D-sCT(Cyc) | 1.7 | 0.1 | 0.7 | 0.5 | 0.9 | 0.1 | 0.0 | |
4D-sCT(CLC) | 2.5 | 0.3 | 1.5 | 0.6 | 1.1 | 0.1 | 0.0 | |
Patient04 | 4D-CBCT | 18.0 | 2.0 | 0.0 | 4.2 | 1.9 | 4.2 | 0.5 |
4D-sCT(Cyc) | 2.0 | 0.1 | 0.0 | 0.4 | 0.8 | 0.9 | 0.0 | |
4D-sCT(CLC) | 2.8 | 0.4 | 0.0 | 1.1 | 0.1 | 1.6 | 0.0 | |
Patient05 | 4D-CBCT | 5.2 | 9.1 | 3.3 | 6.3 | 1.7 | 3.5 | 6.3 |
4D-sCT(Cyc) | 0.1 | 2.7 | 0.6 | 1.7 | 0.4 | 0.2 | 0.8 | |
4D-sCT(CLC) | 0.3 | 3.7 | 0.4 | 1.7 | 0.6 | 0.1 | 0.7 |