Literature DB >> 19235384

Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning.

Jan Unkelbach1, Thomas Bortfeld, Benjamin C Martin, Martin Soukup.   

Abstract

Treatment plans optimized for intensity modulated proton therapy (IMPT) may be very sensitive to setup errors and range uncertainties. If these errors are not accounted for during treatment planning, the dose distribution realized in the patient may by strongly degraded compared to the planned dose distribution. The authors implemented the probabilistic approach to incorporate uncertainties directly into the optimization of an intensity modulated treatment plan. Following this approach, the dose distribution depends on a set of random variables which parameterize the uncertainty, as does the objective function used to optimize the treatment plan. The authors optimize the expected value of the objective function. They investigate IMPT treatment planning regarding range uncertainties and setup errors. They demonstrate that incorporating these uncertainties into the optimization yields qualitatively different treatment plans compared to conventional plans which do not account for uncertainty. The sensitivity of an IMPT plan depends on the dose contributions of individual beam directions. Roughly speaking, steep dose gradients in beam direction make treatment plans sensitive to range errors. Steep lateral dose gradients make plans sensitive to setup errors. More robust treatment plans are obtained by redistributing dose among different beam directions. This can be achieved by the probabilistic approach. In contrast, the safety margin approach as widely applied in photon therapy fails in IMPT and is neither suitable for handling range variations nor setup errors.

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Year:  2009        PMID: 19235384      PMCID: PMC2673668          DOI: 10.1118/1.3021139

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


  24 in total

1.  Effects of motion on the total dose distribution.

Authors:  Thomas Bortfeld; Steve B Jiang; Eike Rietzel
Journal:  Semin Radiat Oncol       Date:  2004-01       Impact factor: 5.934

2.  The clinical potential of intensity modulated proton therapy.

Authors:  Antony J Lomax; Eros Pedroni; Hanspeter Rutz; Gudrun Goitein
Journal:  Z Med Phys       Date:  2004       Impact factor: 4.820

3.  Incorporating organ movements in inverse planning: assessing dose uncertainties by Bayesian inference.

Authors:  J Unkelbach; U Oelfke
Journal:  Phys Med Biol       Date:  2005-01-07       Impact factor: 3.609

4.  Four-dimensional proton treatment planning for lung tumors.

Authors:  Martijn Engelsman; Eike Rietzel; Hanne M Kooy
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-04-01       Impact factor: 7.038

5.  Accelerating IMRT optimization by voxel sampling.

Authors:  Benjamin C Martin; Thomas R Bortfeld; David A Castañon
Journal:  Phys Med Biol       Date:  2007-11-23       Impact factor: 3.609

6.  Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties.

Authors:  A J Lomax
Journal:  Phys Med Biol       Date:  2008-01-29       Impact factor: 3.609

7.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning.

Authors:  Jan Unkelbach; Thomas Bortfeld; Benjamin C Martin; Martin Soukup
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

8.  Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy.

Authors:  D Pflugfelder; J J Wilkens; U Oelfke
Journal:  Phys Med Biol       Date:  2008-02-29       Impact factor: 3.609

9.  The calibration of CT Hounsfield units for radiotherapy treatment planning.

Authors:  U Schneider; E Pedroni; A Lomax
Journal:  Phys Med Biol       Date:  1996-01       Impact factor: 3.609

10.  Treatment planning for conformal proton radiation therapy.

Authors:  Mark R Bussière; Judith A Adams
Journal:  Technol Cancer Res Treat       Date:  2003-10
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  72 in total

1.  Robust optimization of intensity modulated proton therapy.

Authors:  Wei Liu; Xiaodong Zhang; Yupeng Li; Radhe Mohan
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  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

3.  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

Review 4.  Robust Proton Treatment Planning: Physical and Biological Optimization.

Authors:  Jan Unkelbach; Harald Paganetti
Journal:  Semin Radiat Oncol       Date:  2018-04       Impact factor: 5.934

5.  Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Authors:  Nan Qin; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

6.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning.

Authors:  Jan Unkelbach; Thomas Bortfeld; Benjamin C Martin; Martin Soukup
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

7.  Robust optimization for intensity-modulated proton therapy with soft spot sensitivity regularization.

Authors:  Wenbo Gu; Dan Ruan; Daniel O'Connor; Wei Zou; Lei Dong; Min-Yu Tsai; Xun Jia; Ke Sheng
Journal:  Med Phys       Date:  2019-01-21       Impact factor: 4.071

8.  Density overwrites of internal tumor volumes in intensity modulated proton therapy plans for mobile lung tumors.

Authors:  Pablo Botas; Clemens Grassberger; Gregory Sharp; Harald Paganetti
Journal:  Phys Med Biol       Date:  2018-01-30       Impact factor: 3.609

9.  Four-dimensional Monte Carlo simulations demonstrating how the extent of intensity-modulation impacts motion effects in proton therapy lung treatments.

Authors:  Stephen Dowdell; Clemens Grassberger; Harald Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

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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