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Article Dans Une Revue Cancer/Radiothérapie Année : 2020

Implementation of an optimization method for parotid gland sparing during inverse planning for head and neck cancer radiotherapy

Résumé

Purpose - To guide parotid gland (PG) sparing at the dose planning step, a specific model based on overlap between PTV and organ at risk (Moore et al.) was developed and evaluated for VMAT in head-and-neck (H&N) cancer radiotherapy. Materials and methods - One hundred and sixty patients treated for locally advanced H&N cancer were included. A model optimization was first performed (20 patients) before a model evaluation (110 patients). Thirty cases were planned with and without the model to quantify the PG dose sparing. The inter-operator variability was evaluated on one case, planned by 12 operators with and without the model. The endpoints were PG mean dose (D), PTV homogeneity and number of monitor units (MU). Results - The PG D predicted by the model was reached in 89% of cases. Using the model significantly reduced the PG D: -6.1±4.3Gy. Plans with the model showed lower PTV dose homogeneity and more MUs (+10.5% on average). For the inter-operator variability, PG dose volume histograms without the optimized model were significantly different compared to those with the model; the D standard deviation for the ipsilateral PG decreased from 2.2Gy to 1.2Gy. For the contralateral PG, this value decreased from 2.9Gy to 0.8Gy. Conclusion - During the H&N inverse planning, the optimized model guides to the lowest PG achievable mean dose, allowing a significant PG mean dose reduction of -6.1Gy. Integrating this method at the treatment-planning step significantly reduced the inter-patient and inter-operator variabilities.
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hal-02470872 , version 1 (22-08-2022)

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Paternité - Pas d'utilisation commerciale

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N Delaby, S Martin, A Barateau, O Henry, N Perichon, et al.. Implementation of an optimization method for parotid gland sparing during inverse planning for head and neck cancer radiotherapy. Cancer/Radiothérapie, 2020, 24 (1), pp.28-37. ⟨10.1016/j.canrad.2019.09.006⟩. ⟨hal-02470872⟩
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