Open Access
Table 2
Data for acquisition and reconstruction of images using AI according to the two groups (expressed in %)
| The use of AI in the acquisition and reconstruction of radiotherapy images | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Manual | Partially automated | Fully automated | Uncertain | ||||||
| G1 | G2 | G1 | G2 | G1 | G2 | G1 | G2 | P-value | |
| Image intervention and reconstruction | 20 | 15.4 | 70 | 69.2 | 10 | 7.7 | 0 | 7.7 | 1.000 |
| Image fusion | 30 | 15.4 | 50 | 61.5 | 20 | 15.4 | 0 | 7.7 | 0.910 |
| Target volume contouring | 50 | 53.8 | 20 | 23.1 | 20 | 23.1 | 10 | 0 | 0.919 |
| OAR contouring | 40 | 76.9 | 40 | 23.1 | 10 | 0 | 10 | 0 | 0.163 |
| Setting up a plan | 40 | 46.2 | 50 | 53.8 | 10 | 0 | 0 | 0 | 0.656 |
| Plan optimisation | 40 | 15.4 | 50 | 61.5 | 10 | 0 | 0 | 23.1 | 0.171 |
| Plan evaluation | 50 | 38.5 | 50 | 38.5 | 0 | 0 | 0 | 23.1 | 0.316 |
| Quality assurance | 20 | 30.8 | 30 | 23.1 | 20 | 0 | 30 | 46.2 | 0.456 |
| Image analysis and matching | 30 | 53.8 | 50 | 30.8 | 20 | 7.7 | 0 | 7.7 | 0.505 |
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