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Article Dans Une Revue Journal of Applied Clinical Medical Physics Année : 2021

Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning

Résumé

Purpose The aim of this study is to provide and test a new methodology to adjust the AcurosXB beam model for VMAT treatment plans. Method The effective target spot size of the AcurosXB v15 algorithm was adjusted in order to minimize the difference between calculated and measured penumbras. The dosimetric leaf gap (DLG) was adjusted using the asynchronous oscillating sweeping gap tests defined in the literature and the MLC transmission was measured. The impact of the four parameters on the small field output factors was assessed using a design of experiment methodology. Patient quality controls were performed for the three beam models investigated including two energies and two MLC models. Results Effective target spot sizes differed from the manufacturer recommendations and strongly depended on the MLC model considered. DLG values ranged from 0.7 to 2.3 mm and were found to be larger than the ones based on the sweeping gap tests. All parameters were found to significantly influence the calculated output factors, especially for the 0.5 cm × 0.5 cm field size. Interactions were also identified for fields smaller than 2 cm × 2 cm, suggesting that adjusting the parameters on the small field output factors should be done with caution. All patient quality controls passed the universal action limit of 90%. Conclusion The methodology provided is simple to implement in clinical practice. It was validated for three beam models covering a large variety of treatment types and localizations.

Dates et versions

hal-03240006 , version 1 (27-05-2021)

Identifiants

Citer

V. Passal, M. Barreau, Téodor Tiplica, S. Dufreneix. Optimizing the effective spot size and the dosimetric leaf gap of the AcurosXB algorithm for VMAT treatment planning. Journal of Applied Clinical Medical Physics, 2021, 22 (6), pp.154-161. ⟨10.1002/acm2.13256⟩. ⟨hal-03240006⟩

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