Radiation Oncology | |
Multi-scenario based robust intensity-modulated proton therapy (IMPT) plans can account for set-up errors more effectively in terms of normal tissue sparing than planning target volume (PTV) based intensity-modulated photon plans in the head and neck region | |
Jonathan Farr1  Sabine Levegrün3  Christoph Pöttgen3  Jehad Abu Jawad3  Andreas Kaiser2  Martin Stuschke2  | |
[1] Current address: Department of Radiologic Sciences, St. Jude Children's Research Hospital, Memphis TN, USA;West German Proton, Therapy Centre Essen, Essen 45147, Germany;Department of Radiotherapy, University Hospital Essen, Essen 45147, Germany | |
关键词: Re-irradiation; Head and neck cancer; Robust optimization; IMPT; Intensity modulated proton therapy; | |
Others : 1153754 DOI : 10.1186/1748-717X-8-145 |
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received in 2013-06-03, accepted in 2013-06-13, 发布年份 2013 | |
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【 摘 要 】
Background
In a previous report, we compared the conformity of robust intensity-modulated proton therapy (IMPT) plans with that of helical tomotherapy plans for re-irradiations of head and neck carcinomas using a fixed set-up error of 2 mm. Here, we varied the maximum set-up errors between 0 and 5 mm and compared the robust IMPT-plans with planning target volume (PTV) based intensity-modulated photon therapy (IMRT).
Findings
Seven patients were treated with a PTV-based tomotherapy plan. Set-up margins of 0, 2, and 5 mm were subtracted from the PTV to generate target volumes (TV) TV0mm, TV2mm, and TV5mm, for which robust IMPT-plans were created assuming range uncertainties of ±3.5% and using worst case optimization assuming set-up errors of 0, 2, and 5 mm, respectively. Robust optimization makes use of the feature that set-up errors in beam direction alone do not affect the distal and proximal margin for that beam. With increasing set-up errors, the body volumes that were exposed to a selected minimum dose level between 20% and 95% of the prescribed dose decreased. In IMPT-plans with 0 mm set-up error, the exposed body volumes were on average 6.2% ± 0.9% larger than for IMPT-plans with 2 mm set-up error, independent of the considered dose level (p < 0.0001, F-test). In IMPT-plans accounting for 5 mm set-up error, the exposed body volumes were by 11.9% ± 0.8% smaller than for IMPT-plans with 2 mm set-up error at a fixed minimum dose (p < 0.0001, F-test). This set-up error dependence of the normal tissue exposure around the TV in robust IMPT-plans corresponding to the same IMRT-plan led to a decrease in the mean dose to the temporal lobes and the cerebellum, and in the D2% of the brain stem or spinal cord with increasing set-up errors considered during robust IMPT-planning.
Conclusions
For recurrent head and neck cancer, robust IMPT-plan optimization led to a decrease in normal tissue exposure with increasing set-up error for target volumes corresponding to the same PTV.
【 授权许可】
2013 Stuschke et al.; licensee BioMed Central Ltd.
【 预 览 】
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【 参考文献 】
- [1]Levegrün S, Pöttgen C, Abu Jawad J, Berkovic K, Hepp R, Stuschke M: Megavoltage computed tomography Image guidance with helical tomotherapy in patients with vertebral tumors: analysis of factors influencing interobserver variability. Int J Radiat Oncol Biol Phys 2013, 85:561-569.
- [2]Schulte RW, Fargo RA, Meinass HJ, Slater JD, Slater JM: Analysis of head motion prior to and during proton beam therapy. Int J Radiat Oncol Biol Phys 2000, 47:1105-1110.
- [3]Houghton F, Benson RJ, Tudor GS, Fairfoul J, Gemmill J, Dean JC, Routsis DS, Jefferies SJ, Burnet NG: An assessment of action levels in imaging strategies in head and neck cancer using tomotherapy. are our margins adequate in the absence of image guidance? Clin Oncol (R Coll Radiol) 2009, 21:720-727.
- [4]Rudat V, Hammoud M, Pillay Y, Alardi AA, Mohamed A, Altuwaijri S: Impact of the frequency of online verifications on the patient set-up accuracy and set-up margins. Radiat Oncol 2011, 6:101. BioMed Central Full Text
- [5]Stuschke M, Kaiser A, Pöttgen C, Lübcke W, Farr J: Potentials of robust intensity modulated scanning proton plans for locally advanced lung cancer in comparison to intensity modulated photon plans. Radiother Oncol 2012, 104:45-51.
- [6]Stuschke M, Kaiser A, Abu Jawad J, Pöttgen C, Levegrün S, Farr J: Re-irradiation of recurrent head and neck carcinomas: comparison of robust intensity modulated proton therapy treatment plans with helical tomotherapy. Radiat Oncol 2013, 8:93. BioMed Central Full Text
- [7]Fredriksson A, Forsgren A, Hardemark B: Minimax optimization for handling range and setup uncertainties in proton therapy. Med Phys 2011, 38:1672-1684.
- [8]Pflugfelder D, Wilkens JJ, Oelfke D: Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2008, 53:1689-1700.
- [9]Unkelbach J, Chan TCY, Brotfeld T: Accounting for range uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2007, 52:2755-2773.
- [10]Liu W, Zhang X, Li Y, Mohan R: Robust optimization of intensity modulated proton therapy. Med Phys 2012, 39:1079-1091.
- [11]Albertini F, Hug EB, Lomax AJ: Is it necessary to plan with safety margins for actively scanned proton therapy? Phys Med Biol 2011, 56:4399-4413.
- [12]Park PC, Zhi XR, Lee AK, Shoo N, Melancon AD, Zhang L, Dong L: A beam-specific planning target volume [PTV] design for proton therapy to account for setup and range uncertainties. Int J Radiat Oncol Biol Phys 2012, 82:e329-e336.
- [13]Liu W, Frank SJ, Li X, Li Y, Zhu RX, Mohan R: PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization. Med Phys 2013, 40(2):021709.
- [14]Bortfeld T, Jokivarsi K, Goitein M, Kung J, Jiang SB: Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation. Phys Med Biol 2002, 47:2203-2220.
- [15]Paganetti H: Range uncertainties in proton therapy and the role of Monte Carlo simulations. Phys Med Biol 2002, 57:R99-R117.