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Voxel-based identification of local recurrence sub-regions from pre-treatment PET/CT for locally advanced head and neck cancers

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Academic year: 2021

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Fig. 1 Workflow of the study. (i) Intra-individual registration of post-treatment data to the pre-treatment space allows the definition of both the region of recurrence volume (GTVfailure) and the responder volume (GTVresponder)
Fig. 2 Intra-individual differences that can be found in CT images acquired at different time points
Table 1 Equations of radiomics features used to characterize the recurrence volume (grey background) and to train the random forest
Figure 5 presents the mean importance of features within the leave-one-out RF models, according to the MDGI.
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