Model-based comparison of organ at risk protection between VMAT and robustly optimised IMPT plans

Langendijk, 2008, Impact of late treatment-related toxicity on quality of life among patients with head and neck cancer treated with radiotherapy, J Clin Oncol, 26, 3770, 10.1200/JCO.2007.14.6647 Jensen, 2006, The relationship between observer-based toxicity scoring and patient assessed symptom severity after treatment for head and neck cancer. A Correlative cross sectional study of the DAHANCA toxicity scoring system and the EORTC quality of life questionnaires, Radiother Oncol, 78, 298, 10.1016/j.radonc.2006.02.005 Ghosh, 2016, Toxicity profile of IMRT vs. 3D-CRT in head and neck cancer: a retrospective study, J Clin Diagn Res, 10 Langendijk, 2018, Clinical trial strategies to compare protons with photons, Semin Radiat Oncol, 28, 79, 10.1016/j.semradonc.2017.11.008 van de Water, 2011, The potential benefit of radiotherapy with protons in head and neck cancer with respect to normal tissue sparing: a systematic review of literature, Oncologist, 16, 366, 10.1634/theoncologist.2010-0171 Stuschke, 2012, Potentials of robust intensity modulated scanning proton plans for locally advanced lung cancer in comparison to intensity modulated photon plans, Radiother Oncol, 104, 45, 10.1016/j.radonc.2012.03.017 Schwarz, 2011, Helical tomotherapy and intensity modulated proton therapy in the treatment of early stage prostate cancer: a treatment planning comparison, Radiother Oncol, 98, 74, 10.1016/j.radonc.2010.10.027 Langendijk, 2013, Selection of patients for radiotherapy with protons aiming at reduction of side effects: the model-based approach, Radiother Oncol, 107, 267, 10.1016/j.radonc.2013.05.007 Machtay, 2015 International, 2010, Commission on radiation units, measurements, prescribing, recording, and reporting photon-beam intensity-modulated radiation therapy (IMRT), J ICRU, 10 Bäumer, 2017, Comprehensive clinical commissioning and validation of the RayStation treatment planning system for proton therapy with active scanning and passive treatment techniques, Phys Med, 43, 15, 10.1016/j.ejmp.2017.09.136 Saini, 2017, Dosimetric evaluation of a commercial proton spot scanning Monte-Carlo dose algorithm: comparisons against measurements and simulations, Phys Med Biol, 62, 7659, 10.1088/1361-6560/aa82a5 Fredriksson, 2012, A characterization of robust radiation therapy treatment planning methods-from expected value to worst case optimization, Med Phys, 39, 5169, 10.1118/1.4737113 Fredriksson, 2015, Maximizing the probability of satisfying the clinical goals in radiation therapy treatment planning under setup uncertainty, Med Phys, 42, 3992, 10.1118/1.4921998 Liu, 2013, Effectiveness of robust optimization in intensity-modulated proton therapy planning for head and neck cancers, Med Phys, 40, 051711, 10.1118/1.4801899 Beetz, 2012, NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: the role of dosimetric and clinical factors, Radiother Oncol, 105, 101, 10.1016/j.radonc.2012.03.004 Christianen, 2012, Predictive modelling for swallowing dysfunction after primary (chemo)radiation: results of a prospective observational study, Radiother Oncol, 105, 107, 10.1016/j.radonc.2011.08.009 Wopken, 2014, Development of a multivariable normal tissue complication probability (NTCP) model for tube feeding dependence after curative radiotherapy/chemo-radiotherapy in head and neck cancer, Radiother Oncol, 113, 95, 10.1016/j.radonc.2014.09.013 Miralbell, 2002, Potential reduction of the incidence of radiation-induced second cancers by using proton beams in the treatment of pediatric tumors, Int J Radiat Oncol Biol Phys, 54, 824, 10.1016/S0360-3016(02)02982-6 Durante, 2017, Charged-particle therapy in cancer: clinical uses and future perspectives, Nat Rev Clin Oncol, 14, 483, 10.1038/nrclinonc.2017.30 Bijl, 2005, Regional differences in radiosensitivity across the rat cervical spinal cord, Int J Radiat Oncol Biol Phys, 61, 543, 10.1016/j.ijrobp.2004.10.018 Korevaar, 2019, Practical robustness evaluation in radiotherapy – a photon and proton-proof alternative to PTV-based plan evaluation, Radiother Oncol, 141, 267, 10.1016/j.radonc.2019.08.005 Wedenberg, 2014, Disregarding RBE variation in treatment plan comparison may lead to bias in favor of proton plans, Med Phys, 41, 091706, 10.1118/1.4892930 Paganetti, 2014, Relative biological effectiveness (RBE) values for proton beam therapy. Variations as a function of biological endpoint, dose, and linear energy transfer, Phys Med Biol, 59, R419, 10.1088/0031-9155/59/22/R419 Saager, 2018, Determination of the proton RBE in the rat spinal cord: is there an increase towards the end of the spread-out Bragg peak?, Radiother Oncol, 128, 115, 10.1016/j.radonc.2018.03.002 Cuaron, 2016, Exponential increase in relative biological effectiveness along distal edge of a proton bragg peak as measured by deoxyribonucleic acid double-strand breaks, Int J Radiat Oncol * Biol * Phys, 95, 62, 10.1016/j.ijrobp.2016.02.018 Lühr, 2018, Relative biological effectiveness in proton beam therapy – current knowledge and future challenges, Clin Transl Radiat Oncol, 9, 35, 10.1016/j.ctro.2018.01.006 Blanchard, 2016, Toward a model-based patient selection strategy for proton therapy: external validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort, Radiother Oncol, 121, 381, 10.1016/j.radonc.2016.08.022 Dutz, 2019, Development and validation of NTCP models for acute side-effects resulting from proton beam therapy of brain tumours, Radiother Oncol, 130, 164, 10.1016/j.radonc.2018.06.036 Pedersen, 2020, Cross-modality applicability of rectal normal tissue complication probability models from photon- to proton-based radiotherapy, Radiother Oncol, 142, 253, 10.1016/j.radonc.2019.09.017