Abstract
The optimization of treatments by Ion Beam Cancer Therapy (IBCT) relies on modeling to simulate the transport of the incident ions (and the secondary particles) into patients, and, to predict the biological effects induced by all these particles. Considering the complexity of biological systems , multi-scale approaches seem necessary to build the bridge between the primary physical and chemical events and the consequences for patients both in healthy tissues and tumors. After a brief history of IBCT in France, this chapter presents models used to estimate the probability of tumor control by IBCT, showing the importance of predicting the survival of biological cells to complex irradiation. Then, follows a presentation and analysis of models predicting cell survival to irradiation with ions, including: the procedure developed in Japan for cancer treatments with passive beams; the microdosimetry models TDRA and MKM, and, the MMKM, a modified version of MKM used for active beam in Japan; the Katz models and the LEM, which is presently used by the European centers of therapy with carbon ions. Then, as perspectives, modeling based on nanodosimetry will be addressed with a focus on the \(\text {NanOx}^{\text {TM}}\) model.
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Acknowledgements
Some of the sections refer to work performed within the framework of the LABEX PRIMES (ANR-11-LABX-0063) of Université de Lyon, within the program ‘Investissements d’Avenir’ (ANR-11-IDEX-0007) operated by the French National Research Agency (ANR). The author acknowledges the financial support by ITMO Cancer in the framework of Plan Cancer 2009–2013 and of the project no. PC201312, designated ‘Domaine de la physique, des mathématiques ou des sciences de l’ingénieur appliqués au Cancer’. He is also grateful to his collaborators, in particular M. Cunha, D. Dauvergne, C. Monini, J. Remillieux and E. Testa, for fruitful discussions.
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Beuve, M. (2017). Biophysics Modeling to Optimize Ion Beam Cancer Therapy. In: Solov’yov, A. (eds) Nanoscale Insights into Ion-Beam Cancer Therapy. Springer, Cham. https://doi.org/10.1007/978-3-319-43030-0_13
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