Literature DB >> 20427853

The influence of the optimization starting conditions on the robustness of intensity-modulated proton therapy plans.

F Albertini1, E B Hug, A J Lomax.   

Abstract

In this paper the influence of varying the starting conditions on intensity-modulated proton therapy (IMPT) plans has been studied. In particular IMPT plans have been optimized based on four different starting conditions of initial beamlet fluences: (a) all beamlets with an initial constant weight, delivering a gradient from the proximal to the distal edge of the target (forward wedge approach); (b) beamlet weights reduced from the distal to the proximal aspect of the target such as to deliver a flat 'spread-out-Bragg-peak' (SOBP approach); (c) beamlet weights calculated to deliver a gradient from the distal (maximal dose) to the proximal edge (inverse wedge); (d) beamlet weights set universally to zero except the most distal one, for each given lateral direction (i.e. distal-edge-tracking, DET). An analysis of robustness to range errors has been performed by recalculating plans, assuming a systematic 3% error in CT values. Results showed that IMPT plans optimized with the forward wedge approach were very sensitive to range errors, since organs-at-risk (OAR) were spared by patching single-field lateral and distal fall-offs, the last ones being strongly sensitive to range errors. In addition a plan robust to range errors can be achieved by starting the optimization process in the case of low-dose constraints to OAR, with the initial flat SOBP approach, and with either the DET or the inverse wedge approaches, in the case of stringent dose-volume constraints to OAR. 'Starting condition-based optimization' as proposed here can therefore provide a tool to transparently 'steer' the optimization outcome to solutions more robust to uncertainties.

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Year:  2010        PMID: 20427853     DOI: 10.1088/0031-9155/55/10/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Influence of robust optimization in intensity-modulated proton therapy with different dose delivery techniques.

Authors:  Wei Liu; Yupeng Li; Xiaoqiang Li; Wenhua Cao; Xiaodong Zhang
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

2.  Visualization of a variety of possible dosimetric outcomes in radiation therapy using dose-volume histogram bands.

Authors:  Alexei Trofimov; Jan Unkelbach; Thomas F DeLaney; Thomas Bortfeld
Journal:  Pract Radiat Oncol       Date:  2011-09-09

3.  PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization.

Authors:  Wei Liu; Steven J Frank; Xiaoqiang Li; Yupeng Li; Ron X Zhu; Radhe Mohan
Journal:  Med Phys       Date:  2013-02       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.  Incorporating deliverable monitor unit constraints into spot intensity optimization in intensity-modulated proton therapy treatment planning.

Authors:  Wenhua Cao; Gino Lim; Xiaoqiang Li; Yupeng Li; X Ronald Zhu; Xiaodong Zhang
Journal:  Phys Med Biol       Date:  2013-07-09       Impact factor: 3.609

6.  Proton energy optimization and reduction for intensity-modulated proton therapy.

Authors:  Wenhua Cao; Gino Lim; Li Liao; Yupeng Li; Shengpeng Jiang; Xiaoqiang Li; Heng Li; Kazumichi Suzuki; X Ronald Zhu; Daniel Gomez; Xiaodong Zhang
Journal:  Phys Med Biol       Date:  2014-10-08       Impact factor: 3.609

7.  The rationale for intensity-modulated proton therapy in geometrically challenging cases.

Authors:  S Safai; A Trofimov; J A Adams; M Engelsman; T Bortfeld
Journal:  Phys Med Biol       Date:  2013-08-22       Impact factor: 3.609

8.  Effectiveness of robust optimization in intensity-modulated proton therapy planning for head and neck cancers.

Authors:  Wei Liu; Steven J Frank; Xiaoqiang Li; Yupeng Li; Peter C Park; Lei Dong; X Ronald Zhu; Radhe Mohan
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

9.  Application of failure mode and effects analysis to treatment planning in scanned proton beam radiotherapy.

Authors:  Marie Claire Cantone; Mario Ciocca; Francesco Dionisi; Piero Fossati; Stefano Lorentini; Marco Krengli; Silvia Molinelli; Roberto Orecchia; Marco Schwarz; Ivan Veronese; Viviana Vitolo
Journal:  Radiat Oncol       Date:  2013-05-24       Impact factor: 3.481

  9 in total

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