Radiation therapy is one of the main treatments for cancer care. It consists in irradiating the tumor, while limiting the toxicity associated with the exposure of healthy tissues. Proton therapy is an emerging radiation delivery modality, which has the potential to better spare healthy tissues than conventional radiotherapy treatments. However, this new modality is much more sensitive to treatment uncertainties, such as patient anatomy changes. To address the lack of robustness in proton therapy, this thesis provides accurate treatment preparation tools, such as fast Monte Carlo dose calculation and robust planning methods. Furthermore, a comprehensive and realistic treatment robustness verification tool was developed in order to assess the sensitivity of the treatment plan to uncertainties. By combining these tools, proton therapy could be delivered more safely, improving the treatment outcome for the patient. All tools developed during this thesis are released open source and are already used in several institutions for research and clinical purposes.
Souris, K. (2018). Accurate assessment of proton therapy treatments : fast Monte Carlo dose engine and extensive robustness tests. https://hdl.handle.net/2078.5/39508