In:
Scientific Reports, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2019-08-28)
Kurzfassung:
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 (Δfeatures), could improve the prediction of moderate-to-severe xerostomia at 12 months after radiotherapy (Xer 12m ). Parotid gland Δfeatures 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 Δfeatures 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 Δfeature 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 (ΔPG-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.
Materialart:
Online-Ressource
ISSN:
2045-2322
DOI:
10.1038/s41598-019-48184-3
Sprache:
Englisch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2019
ZDB Id:
2615211-3
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