ESTRO 2024 - Abstract Book

S4675

Physics - Optimisation, algorithms and applications for ion beam treatment planning

ESTR0 2024

References:

1. Traneus E, Ödén J. Introducing proton track-end objectives in intensity modulated proton therapy optimization to reduce linear energy transfer and relative biological effectiveness in critical structures. International Journal of Radiation Oncology Biology Physics2019;103(3):747-757. doi:10.1016/j.ijrobp.2018.10.031

2. Hahn C, Heuchel L, Ödén J, et al. Comparing biological effectiveness guided plan optimization strategies for cranial proton therapy: potential and challenges. Radiation Oncology. 2022;17:169. doi:10.1186/s13014-022-02143-x

3. Kalholm F, Grzanka L, Traneus E, Bassler N. A systematic review on the usage of averaged LET in radiation biology for particle therapy. Radiotherapy and Oncology 2021;161:211-221. doi:10.1016/j.radonc.2021.04.007

4. Hahn C, Ödén J, Dasu A, et al. Towards harmonizing clinical linear energy transfer (LET) reporting in proton radiotherapy: a European multi-centric study. Acta Oncologica 2022;61(2):206-214. doi:10.1080/0284186X.2021.1992007 5. McNamara AL, Schuemann J, Paganetti H. A phenomenological relative biological effectiveness (RBE) model for proton therapy based on all published in vitro cell survival data. Physics in Medicine & Biology 2015;60(21):8399-8416. doi:10.1088/0031-9155/60/21/8399 6. Wedenberg M, Lind BK, Hårdemark B. A model for the relative biological effectiveness of protons: The tissue specific parameter α / β of photons is a predictor for the sensitivity to LET changes. Acta Oncologica 2013;52(3):580-588. doi:10.3109/0284186X.2012.705892

2235

Digital Poster

Secondary particle effects in hadrontherapy: experimental insights and simulated outcomes.

Lévana Gesson 1,2 , Claire Reibel 1 , Christian Finck 1 , Nicolas Arbor 1 , Stephane Higueret 1 , The Duc Lê 1 , Aurelia Arnone 1 , Catherine Galindo 1 , Philippe Peaupardin 1 , Quentin Raffy 1 , Marie Vanstalle 1

1 IPHC, DRS, Strasbourg, France. 2 GSI, Biophysiks, Darmstadt, Germany

Purpose/Objective:

During a cancer treatment with particle therapy (heavy ion or proton beam), nuclear reactions of the primary beam with the targeted volume need to be precisely quantified in order to calculate exactly the dose received by the patient. Particle therapy permits, compared to conventional X-ray therapy, to deliver a more conformal dose to the tumor while sparing healthy tissues. Nevertheless, the primary beam and target fragmentations lead to the production of lighter fragments, which may contribute to undesired dose in healthy tissues. Dose calculations in particle therapy rely on high-performance algorithms which encompass both physical and biological processes. These calculations are based on data generated by the Monte Carlo code. However, there is currently a lack of experimental data regarding nuclear reactions occuring particle therapy, which can introduce inaccuracies in dose calculations.