Literature DB >> 18780956

Adaptive fractionation therapy: II. Biological effective dose.

Mingli Chen1, Weiguo Lu, Quan Chen, Kenneth Ruchala, Gustavo Olivera.   

Abstract

Radiation therapy is fractionized to differentiate the cell killing between the tumor and organ at risk (OAR). Conventionally, fractionation is done by dividing the total dose into equal fraction sizes. However, as the relative positions (configurations) between OAR and the tumor vary from fractions to fractions, intuitively, we want to use a larger fraction size when OAR and the tumor are far apart and a smaller fraction size when OAR and the tumor are close to each other. Adaptive fractionation accounts for variations of configurations between OAR and the tumor. In part I of this series, the adaptation minimizes the OAR (physical) dose and maintains the total tumor (physical) dose. In this work, instead, the adaptation is based on the biological effective dose (BED). Unlike the linear programming approach in part I, we build a fraction size lookup table using mathematical induction. The lookup table essentially describes the fraction size as a function of the remaining tumor BED, the OAR/tumor dose ratio and the remaining number of fractions. The lookup table is calculated by maximizing the expected survival of OAR and preserving the tumor cell kill. Immediately before the treatment of each fraction, the OAR-tumor configuration and thus the dose ratio can be obtained from the daily setup image, and then the fraction size can be determined by the lookup table. Extensive simulations demonstrate the effectiveness of our method compared with the conventional fractionation method.

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Year:  2008        PMID: 18780956     DOI: 10.1088/0031-9155/53/19/016

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


  2 in total

1.  Optimal solution for a cancer radiotherapy problem.

Authors:  A Bertuzzi; C Bruni; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2013-01       Impact factor: 2.259

2.  Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size.

Authors:  C Bruni; F Conte; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2014-08-29       Impact factor: 2.259

  2 in total

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