EURADOS intercomparison exercise on Monte Carlo modelling of a medical linear accelerator



Background. In radiotherapy, Monte Carlo (MC) methods are considered a gold standard to calculate accurate dose distributions, particularly in heterogeneous tissues. EURADOS organized an international comparison with six participants applying different MC models to a real medical linear accelerator and to one homogeneous and four heterogeneous dosimetric phantoms. Aims. The aim of this exercise was to identify, by comparison of different MC models with a complete experimental dataset, critical aspects useful for MC users to build and calibrate a simulation and perform a dosimetric analysis. Results. Results show on average a good agreement between simulated and experimental data. However, some significant differences have been observed especially in presence of heterogeneities. Moreover, the results are critically dependent on the different choices of the initial electron source parameters. Conclusions. This intercomparison allowed the participants to identify some critical issues in MC modelling of a medical linear accelerator. Therefore, the complete experimental dataset assembled for this intercomparison will be available to all the MC users, thus providing them an opportunity to build and calibrate a model for a real medical linear accelerator.


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Barbara Caccia - National Center for Radiation Protection and Computational Physics, Istituto Superiore di Sanità

Maïwenn Le Roy

Valentin Blideanu

Claudio Andenna

Chairmadurai Arun

Damian i Czarneck

Tarek El Bardouni

Régine Gschwind

Nicolas Huot

Eric Martin

Klemens Zink

Mariam Zoubair

Robert Price

Loïc de Carlan

How to Cite
Caccia, B., Le Roy, M., Blideanu, V., Andenna, C., Arun, C., Czarneck, D. i, El Bardouni, T., Gschwind, R., Huot, N., Martin, E., Zink, K., Zoubair, M., Price, R., & de Carlan, L. (2017). EURADOS intercomparison exercise on Monte Carlo modelling of a medical linear accelerator. Annali dell’Istituto Superiore Di Sanità, 53(4), 314-321. Retrieved from
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