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Accounting for range uncertainties in the optimization of intensity modulated proton therapy

Jan Unkelbach1, Timothy C Y Chan2 and Thomas Bortfeld1

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Treatment plans optimized for intensity modulated proton therapy (IMPT) may be sensitive to range variations. The dose distribution may deteriorate substantially when the actual range of a pencil beam does not match the assumed range. We present two treatment planning concepts for IMPT which incorporate range uncertainties into the optimization. The first method is a probabilistic approach. The range of a pencil beam is assumed to be a random variable, which makes the delivered dose and the value of the objective function a random variable too. We then propose to optimize the expectation value of the objective function. The second approach is a robust formulation that applies methods developed in the field of robust linear programming. This approach optimizes the worst case dose distribution that may occur, assuming that the ranges of the pencil beams may vary within some interval. Both methods yield treatment plans that are considerably less sensitive to range variations compared to conventional treatment plans optimized without accounting for range uncertainties. In addition, both approaches—although conceptually different—yield very similar results on a qualitative level.


PACS

87.55.-x Treatment strategy

87.53.Bn Dosimetry/exposure assessment

02.60.Pn Numerical optimization

Subjects

Computational physics

Medical physics

Dates

Issue 10 (21 May 2007)

Received 20 November 2006, in final form 8 March 2007

Published 26 April 2007



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