Literature DB >> 20229853

Respiratory motion management in particle therapy.

Eike Rietzel1, Christoph Bert.   

Abstract

Clinical outcomes of charged particle therapy are very promising. Currently, several dedicated centers that use scanning beam technology are either close to clinical use or under construction. Since scanned beam treatments of targets that move with respiration most likely result in marked local over- and underdosage due to interplay of target motion and dynamic beam application, dedicated motion mitigation techniques have to be employed. To date, the motion mitigation techniques, rescanning, beam gating, and beam tracking, have been proposed and tested in experimental studies. Rescanning relies on repeated irradiations of the target with the number of particles reduced accordingly per scan to statistically average local misdosage. Specific developments to prohibit temporal correlation between beam scanning and target motion will be required to guarantee adequate averaging. For beam gating, residual target motion within gating windows has to be mitigated in order to avoid local misdosage. Possibly the most promising strategy is to increase the overlap of adjacent particle pencil beams laterally as well as longitudinally to effectively reduce the sensitivity against small residual target motion. The most conformal and potentially most precise motion mitigation technique is beam tracking. Individual particle pencil beams have to be adapted laterally as well as longitudinally according to the target motion. Within the next several years, it can be anticipated that rescanning as well as beam gating will be ready for clinical use. For rescanning, treatment planning margins that incorporate the full extent of target motion as well as motion induced density variations in the beam paths will result in reduced target conformity of the applied dose distributions. Due to the limited precision of motion monitoring devices, it seems likely that beam gating will be used initially to mitigate interplay effects only but not to considerably decrease treatment planning margins. Then, in the next step, beam gating, based on more accurate motion monitoring systems, provides the possibility to restore target conformity as well as steep dose gradients due to reduced treatment planning margins. Accurate motion monitoring systems will be required for beam tracking. Even though beam tracking has already been successfully tested experimentally, full clinical implementation requires direct feedback of the actual target position in quasireal time to the treatment control system and can be anticipated to be several more years ahead.

Mesh:

Year:  2010        PMID: 20229853     DOI: 10.1118/1.3250856

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  33 in total

1.  Optimization of an on-board imaging system for extremely rapid radiation therapy.

Authors:  Erica M Cherry Kemmerling; Meng Wu; He Yang; Peter G Maxim; Billy W Loo; Rebecca Fahrig
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  [Translational uroradio-oncology].

Authors:  S E Combs; J Debus
Journal:  Urologe A       Date:  2013-09       Impact factor: 0.639

3.  Motion mitigation for lung cancer patients treated with active scanning proton therapy.

Authors:  Clemens Grassberger; Stephen Dowdell; Greg Sharp; Harald Paganetti
Journal:  Med Phys       Date:  2015-05       Impact factor: 4.071

Review 4.  Current status and future prospects of multi-dimensional image-guided particle therapy.

Authors:  Shinichiro Mori; Silvan Zenklusen; Antje-Christin Knopf
Journal:  Radiol Phys Technol       Date:  2013-02-19

5.  A beam-specific planning target volume (PTV) design for proton therapy to account for setup and range uncertainties.

Authors:  Peter C Park; X Ronald Zhu; Andrew K Lee; Narayan Sahoo; Adam D Melancon; Lifei Zhang; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-22       Impact factor: 7.038

6.  Implementation of a target volume design function for intrafractional range variation in a particle beam treatment planning system.

Authors:  S Mori; T Inaniwa; K Miki; T Shirai; K Noda
Journal:  Br J Radiol       Date:  2014-08-29       Impact factor: 3.039

7.  Robust optimization in IMPT using quadratic objective functions to account for the minimum MU constraint.

Authors:  Jie Shan; Yu An; Martin Bues; Steven E Schild; Wei Liu
Journal:  Med Phys       Date:  2017-12-05       Impact factor: 4.071

8.  Evaluation and mitigation of the interplay effects of intensity modulated proton therapy for lung cancer in a clinical setting.

Authors:  Laleh Kardar; Yupeng Li; Xiaoqiang Li; Heng Li; Wenhua Cao; Joe Y Chang; Li Liao; Ronald X Zhu; Narayan Sahoo; Michael Gillin; Zhongxing Liao; Ritsuko Komaki; James D Cox; Gino Lim; Xiaodong Zhang
Journal:  Pract Radiat Oncol       Date:  2014-08-12

Review 9.  Empowering Intensity Modulated Proton Therapy Through Physics and Technology: An Overview.

Authors:  Radhe Mohan; Indra J Das; Clifton C Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-10-01       Impact factor: 7.038

10.  Impact of Spot Size and Spacing on the Quality of Robustly Optimized Intensity Modulated Proton Therapy Plans for Lung Cancer.

Authors:  Chenbin Liu; Steven E Schild; Joe Y Chang; Zhongxing Liao; Shawn Korte; Jiajian Shen; Xiaoning Ding; Yanle Hu; Yixiu Kang; Sameer R Keole; Terence T Sio; William W Wong; Narayan Sahoo; Martin Bues; Wei Liu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-02-14       Impact factor: 7.038

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