Delta-radiomics features during radiotherapy improve the prediction of late xerostomia.

The response of the major salivary glands, the parotid glands, to radiation dose is patient-specific. This study was designed to investigate whether parotid gland changes seen in weekly CT during treatment, quantified by delta-radiomics features (Deltafeatures), could improve the prediction of moderate-to-severe xerostomia at 12 months after radiotherapy (Xer(12m)). Parotid gland Deltafeatures were extracted from in total 68 planning and 340 weekly CTs, representing geometric, intensity and texture characteristics. Bootstrapped forward variable selection was performed to identify the best predictors of Xer(12m). The predictive contribution of the resulting Deltafeatures to a pre-treatment reference model, based on contralateral parotid gland mean dose and baseline xerostomia scores (Xer(baseline)) only, was evaluated. Xer(12m) was reported by 26 (38%) of the 68 patients included. The most predictive Deltafeature was the contralateral parotid gland surface change, which was significantly associated with Xer(12m) for all weeks (p < 0.04), but performed best for week 3 (DeltaPG-surface(w3); p < 0.001). Moreover, ∆PG-surface(w3) showed a significant predictive contribution in addition to the pre-treatment reference model (likelihood-ratio test; p = 0.003), resulting in a significantly better model performance (AUC(train) = 0.92; AUC(test) = 0.93) compared to that of the pre-treatment model (AUC(train) = 0.82; AUC(test) = 0.82). These results suggest that mid-treatment parotid gland changes substantially improve the prediction of late radiation-induced xerostomia.