Literature DB >> 17500481

Quantifying lateral tissue heterogeneities in hadron therapy.

D Pflugfelder1, J J Wilkens, H Szymanowski, U Oelfke.   

Abstract

In radiotherapy with scanned particle beams, tissue heterogeneities lateral to the beam direction are problematic in two ways: they pose a challenge to dose calculation algorithms, and they lead to a high sensitivity to setup errors. In order to quantify and avoid these problems, a heterogeneity number H(i) as a method to quantify lateral tissue heterogeneities of single beam spot i is introduced. To evaluate this new concept, two kinds of potential errors were investigated for single beam spots: First, the dose calculation error has been obtained by comparing the dose distribution computed by a simple pencil beam algorithm to more accurate Monte Carlo simulations. The resulting error is clearly correlated with H(i). Second, the analysis of the sensitivity to setup errors of single beam spots also showed a dependence on H(i). From this data it is concluded that H(i) can be used as a criterion to assess the risks of a compromised delivered dose due to lateral tissue heterogeneities. Furthermore, a method how to incorporate this information into the inverse planning process for intensity modulated proton therapy is presented. By suppressing beam spots with a high value of H(i), the unfavorable impact of lateral tissue heterogeneities can be reduced, leading to treatment plans which are more robust to dose calculation errors of the pencil beam algorithm. Additional possibilities to use the information of H(i) are outlined in the discussion.

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Year:  2007        PMID: 17500481     DOI: 10.1118/1.2710329

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


  14 in total

1.  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

2.  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

3.  The influence of patient positioning uncertainties in proton radiotherapy on proton range and dose distributions.

Authors:  Jakob Liebl; Harald Paganetti; Mingyao Zhu; Brian A Winey
Journal:  Med Phys       Date:  2014-09       Impact factor: 4.071

4.  Including robustness in multi-criteria optimization for intensity-modulated proton therapy.

Authors:  Wei Chen; Jan Unkelbach; Alexei Trofimov; Thomas Madden; Hanne Kooy; Thomas Bortfeld; David Craft
Journal:  Phys Med Biol       Date:  2012-01-06       Impact factor: 3.609

5.  Robustness of target dose coverage to motion uncertainties for scanned carbon ion beam tracking therapy of moving tumors.

Authors:  John Gordon Eley; Wayne David Newhauser; Daniel Richter; Robert Lüchtenborg; Nami Saito; Christoph Bert
Journal:  Phys Med Biol       Date:  2015-02-04       Impact factor: 3.609

6.  Feasibility of Using Distal Endpoints for In-room PET Range Verification of Proton Therapy.

Authors:  Kira Grogg; Xuping Zhu; Chul Hee Min; Brian Winey; Thomas Bortfeld; Harald Paganetti; Helen A Shih; Georges El Fakhri
Journal:  IEEE Trans Nucl Sci       Date:  2013-10       Impact factor: 1.679

7.  4D optimization of scanned ion beam tracking therapy for moving tumors.

Authors:  John Gordon Eley; Wayne David Newhauser; Robert Lüchtenborg; Christian Graeff; Christoph Bert
Journal:  Phys Med Biol       Date:  2014-06-03       Impact factor: 3.609

Review 8.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

9.  The energy margin strategy for reducing dose variation due to setup uncertainty in intensity modulated proton therapy (IMPT) delivered with distal edge tracking (DET).

Authors:  Miao Zhang; Ryan T Flynn; Xiaohu Mo; Thomas Rock Mackie
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

10.  A simplified methodology to produce Monte Carlo dose distributions in proton therapy.

Authors:  Chris Beltran; Yingcui Jia; Roelf Slopsema; Daniel Yeung; Zuofeng Li
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

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