Optimal solution for a cancer radiotherapy problem with a maximal damage constraint on normal tissues

Authors

  • Federico Papa Department of Computer and System Sciences Antonio Ruberti
  • Carmela Sinisgalli Istituto di Analisi dei Sistemi ed Informatica \A. Ruberti" - CNR

Keywords:

Nonlinear programming, Cancer radiotherapy, Linear-quadratic model.

Abstract

In Bertuzzi et al. [1] we addressed the problem of _nding the optimal radiotherapy fractionation scheme, representing the response to radiation of tumour and normal tissues by the LQ model including exponential repopulation and sublethal damage due to incomplete repair. We formulated the nonlinear programming problem of maximizing the overall tumour damage, while keeping the damages to the late andearly responding normal tissues within a given admissible level. In the present paper we show the results for a simpler optimization problem, containing only the constraintrelated to the late normal tissue that reduces to an equality constraint under suitable assumptions. In fact, it has been shown in [1] that, suitably choosing the maximal damage values, the problem here considered is equivalent to the more general one, in that their extremals, and then their optimal solutions, coincide. The optimum is searched over a single week of treatment and its possible structures are identi_ed. Wecharacterize the optimal solution in terms of model parameters. Apart from limit values of the parameters, we prove that the optimal solution is unique and never consisting of _ve equal fractions per week. This is interesting in comparison to theuniform fractionation schemes commonly used in radiotherapy.

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How to Cite

Papa, F., & Sinisgalli, C. (2012). Optimal solution for a cancer radiotherapy problem with a maximal damage constraint on normal tissues. Department of Computer and System Sciences Antonio Ruberti Technical Reports, 3(7). Retrieved from https://rosa.uniroma1.it/rosa00/index.php/dis_technical_reports/article/view/9626