Abstract
Pencil beam scanning (PBS) is the most advanced beam delivery technology in particle therapy nowadays. After a pioneering phase, PBS is rapidly becoming available on a larger scale worlwide, and is expected to be the standard beam delivery technique in the future to come. The characterization of a PBS isocentric gantry involves a number of validation tests both at the hardware level (e.g. mechanical isocentricity of gantry and patient positioning system) and at the beam geometry level (e.g. spot size, shape and positional accuracy as a function of gantry angle and energy). A beam model is then generated in the treatment planning systems (TPS), and an extensive validation is needed, from simple geometries to heterogenous phantoms mimicking a patient. Last but not least, planning techniques ensuring plan robustness with respect to setup error and range uncertainties should be implemented in order to minimize the difference between planned and delivered dose distribution.
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References
Bentzen S. Theragnostic imaging for radiation oncology: dose-painting by numbers. Lancet Oncol. 2005;6(2):112–7.
Bernatowicz K, Lomax AJ, Knopf A. Comparative study of layered and volumetric rescanning for different scanning speeds of proton beam in liver patients. Phys Med Biol. 2013;58(22):7905.
Engelsman M, Schwarz M, Dong L. Physics controversies in proton therapy. Sem Rad Oncol. 2013;23:88–96.
Flanz J. Particle beam scanning. In: Paganetti H, editor. Proton therapy physics. Boca Raton(FL): CRC Press; 2012.
Fredriksson A, Forsgren A, Hardemark B. Minimax optimization for handling range and setup uncertainties in proton therapy. Med Phys. 2011;38:1672.
Gillin MT, Sahoo N, Bues M, Ciangaru G, Sawakuchi G, Poenisch F, Arjomandy B, Martin C, Titt U, Suzuki K, Smith AR, Zhu XR. Commissioning of the discrete spot scanning proton beam delivery system at the University of Texas M.D. Anderson Cancer Center, Proton Therapy Center, Houston. Med Phys. 2010;37(1):154–63.
Grassberger C, Dowdell S, Lomax AJ, et al. Motion interplay as a function of patient parameters and spot size in spot scanning proton therapy for lung cancer. Int J Radiat Oncol Biol Phys. 2013;86(2):380–6.
Hall EJ. Intensity-modulated radiation therapy, protons, and the risk of second cancers. Int J Radiat Oncol Biol Phys. 2006;65(1):1–7.
Jäkel O, Hartmann GH, Karger CP, Heeg P. A calibration procedure for beam monitors in a scanned beam of heavy charged particles. Med Phys. 2004;31(5):1009–13.
Kozak KR, Smith BL, Adams J, et al. Accelerated partial-breast irradiation using proton beams: initial clinical experience. Int J Radiat Oncol Biol Phys. 2006;66(3):691–8.
Lomax AJ. Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties. Phys Med Biol. 2008;53(4):1027–42.
Lomax AJ, Pedroni E, Rutz H, et al. The clinical potential of intensity modulated proton therapy. Z Med Phys. 2004;14:147–52.
Pedroni E, Böhringer T, Coray A, et al. Initial experience of using an active beam delivery technique at PSI. Strahlenther Onkol. 1999;175(Suppl II):18–20.
Pedroni E, Scheib S, Böhringer T, Coray A, Grossmann M, Linand S, Lomax A. Experimental characterization and physical modelling of the dose distribution of scanned proton pencil beams. Phys Med Biol. 2005;50:541–61.
Perl J, Shin J, Schümann J, Faddegon B, Paganetti H. TOPAS – an innovative proton Monte Carlo platform for research and clinical applications. Med Phys. 2012;39:6818–37.
Pflugfelder D, Wilkens JJ, Oelfke U. Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol. 2008;53(6):1689–700.
Schneider U, Lomax A, Pemler P, et al. The impact of IMRT and proton radiotherapy on secondary cancer incidence. Strahlenther Onkol. 2006;182:647–52.
Schulte RW, Bashkirov V, Loss Klock MC, et al. Density resolution of proton computed tomography. Med Phys. 2005;32(4):1035–46.
Schwarz M, van der Geer J, Van Herk M, et al. Impact of geometrical uncertainties on 3D CRT and IMRT dose distributions for lung cancer treatment. Int J Radiat Oncol Biol Phys. 2006;65:1260–9.
Stroom JC, de Boer HC, Huizenga H, et al. Inclusion of geometrical uncertainties in radiotherapy treatment planning by means of coverage probability. Int J Radiat Oncol Biol Phys. 1999;43:905–19.
Unkelbach J, Bortfeld T, Martin BC, et al. Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning. Med Phys. 2009;36(1):149–63.
Widesott L, Lomax AJ, Schwarz M. Is there a single spot size and grid for intensity modulated proton therapy? Simulation of head and neck, prostate and mesothelioma cases. Med Phys. 2012;39(3):1298–308.
Witte MG, van der Geer J, Schneider C, et al. IMRT optimization including random and systematic geometric errors based on the expectation of TCP and NTCP. Med Phys. 2007;34(9):3544.
Xu XG, Bednarz B, Paganetti H. A review of dosimetry studies on external-beam radiation treatment with respect to second cancer induction. Phys Med Biol. 2008;53:R193–241.
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Schwarz, M. et al. (2016). Clinical Pencil Beam Scanning: Present and Future Practices. In: Rath, A., Sahoo, N. (eds) Particle Radiotherapy. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2622-2_7
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DOI: https://doi.org/10.1007/978-81-322-2622-2_7
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