Open Access
Table 4
Data concerning the influence of AI on the quality of radiotherapy practices in terms of image acquisition and reconstruction stratified by groups.
| The influence of AI on the quality of radiotherapy practices in terms of image acquisition and reconstruction | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Decreases quality | No change | Increases quality | Not applicable | P-value | |||||
| G1 | G2 | G1 | G2 | G1 | G2 | G1 | G2 | ||
| Image intervention and reconstruction | 0 | 0 | 10 | 7.7 | 90 | 76.9 | 0 | 15.4 | 0.736 |
| Image fusion | 0 | 0 | 10 | 0 | 90 | 84.6 | 0 | 15.4 | 0.325 |
| Target volume contouring | 10 | 15.4 | 10 | 0 | 70 | 53.8 | 10 | 30.8 | 0.516 |
| OAR contouring | 20 | 7.7 | 10 | 15.4 | 60 | 69.2 | 10 | 7.7 | 0.899 |
| Setting up a plan | 10 | 7.7 | 10 | 0 | 80 | 76.9 | 0 | 15.4 | 0.566 |
| Plan optimisation | 10 | 7.7 | 10 | 0 | 70 | 76.9 | 10 | 15.4 | 0.873 |
| Plan evaluation | 10 | 7.7 | 10 | 0 | 70 | 69.2 | 10 | 23.1 | 0.706 |
| Quality assurance | 10 | 7.7 | 10 | 15.4 | 70 | 53.8 | 10 | 23.1 | 0.906 |
| Image analysis and matching | 10 | 0 | 10 | 7.7 | 80 | 76.9 | 0 | 15.4 | 0.566 |
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