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Optimal values of the Electron Monte Carlo dose engine parameters

BACKGROUND: The aim of this study was to indicate the most favorable — in terms of to the time of calculation and the uncertainty of determining the dose distribution — values of the parameters for the Electron Monte Carlo (eMC) algorithm in the Eclipse treatment planning system. MATERIALS AND METHO...

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Detalles Bibliográficos
Autores principales: Wendykier, Jacek, Wojtyna, Ewa, Bekman, Barbara, Bekman, Adam, Woźniak, Bożena, Niewiadomska, Beata, Prażmowska, Joanna, Wendykier, Piotr, Bieniasiewicz, Marcin, Grządziel, Aleksandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Via Medica 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547404/
https://www.ncbi.nlm.nih.gov/pubmed/37795396
http://dx.doi.org/10.5603/RPOR.a2023.0044
Descripción
Sumario:BACKGROUND: The aim of this study was to indicate the most favorable — in terms of to the time of calculation and the uncertainty of determining the dose distribution — values of the parameters for the Electron Monte Carlo (eMC) algorithm in the Eclipse treatment planning system. MATERIALS AND METHODS: Using the eMC algorithm and the variability of the values of its individual parameters, calculations of the electron dose distribution in the full-scattering virtual water phantom were performed, obtaining percentage depth doses, beam profiles, absolute dose values in points and calculation times. The reference data included water tank measurements such as relative dose distributions and absolute point doses. RESULTS: For 63 sets of calculation data created from selected values of the parameters for the eMC algorithm, calculation times were analyzed and the absolute calculated and measured doses were compared. Performing a statistical analysis made it possible to determine whether the differences in the values of deviations between the actual dose and the calculated dose in individual regions of the percentage depth dose curve and the beam profile are statistically significant between the analyzed sets of parameters. CONCLUSIONS: Taking into account obtained results from the analysis of the discrepancy between the distribution of the calculated and measured dose, the correspondence of the absolute value of the calculated and measured dose and the duration of the calculation of the dose distribution, the optimal set of parameters was indicated for the eMC algorithm which allows obtaining the dose distribution and the number of monitor units in an acceptable time.