Heuristics for integrated optimization of catheter positioning and dwell time distribution in prostate HDR brachytherapy

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• 作者：Åsa Holm ; Åsa Carlsson Tedgren ; Torbjörn Larsson
• 关键词：Brachytherapy ; Dose planning ; Catheter positioning ; Mixed integer programming ; Metaheuristics
• 刊名：Annals of Operations Research
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：236
• 期：2
• 页码：319-339
• 全文大小：1,331 KB
• 参考文献：Alterovitz, R., Lessard, E., Pouliot, J., Hsu, I. C. J., O’Brien, J. F., & Goldberg, K. (2006). Optimization of HDR brachytherapy dose distributions using linear programming with penalty costs. Medical Physics, 33(11), 4012–4019. CrossRef
  Ayotte, G., D’Amours, M., Aubin, S., Lessard, E., Pouliot, J., & Beaulieu, L. (2009). Sci-Thurs AM: YIS-02: optimizing number and position of catheters within inverse planning simulated annealing (IPSA) for prostate and breast high dose rate brachytherapy. In AAPM (Vol. 36, p. 4315).
  Baltas, D., Katsilieri, Z., Kefala, V., Papaioannou, S., Karabis, A., Mavroidis, P., & Zamboglou, N. (2009). Influence of modulation restriction in inverse optimization with HIPO of prostate implants on plan quality: analysis using dosimetric and radiobiological indices. In R. Magjarevic, O. Dössel, & W. C. Schlegel (Eds.), IFMBE proceedings: Vol. 25. World congress on medical physics and biomedical engineering, 7–12 September 2009, Munich, Germany (pp. 283–286).
  Baltas, D., Colla, E., Karabis, A., & Kirisits, C. Optimization and inverse planning tools in oncentra gyn. http://​www.​nucletron.​com/​en/​ProductsAndSolut​ions/​Pages/​OncentraGYN.​aspx . Downloaded 2010.
  Boyle, P. & Levin, B. (Eds.) (2008). World cancer report 2008. Lyon: International Agency for Research on Cancer.
  Chajon, E., Dumas, I., Touleimat, M., Magné, N., Coulot, J., Verstraet, R., Lefkopoulos, D., & Haie-Meder, C. (2007). Inverse planning approach for 3-D MRI-based pulse-dose rate intracavitary brachytherapy in cervix cancer. International Journal of Radiation Oncology, Biology, Physics, 69(3), 955–961. CrossRef
  Glover, F., & Laguna, M. (1997). Tabu search. Norwell: Kluwer Academic. CrossRef
  Hansen, P., & Mladenović, N. (2005). Variable neighborhood search. In E. K. Burke & G. Kendall (Eds.), Search methodologies (pp. 211–238). New York: Springer. CrossRef
  Holm, Å., Larsson, T., & Carlsson Tedgren, Å. (2012). Impact of using linear optimization models in dose planning for HDR brachytherapy. Medical Physics, 39(2), 1021–1028. CrossRef
  Karabis, A., Belotti, P., & Baltas, D. (2009). Optimization of catheter position and dwell time in prostate HDR brachytherapy using HIPO and linear programming. In R. Magjarevic, O. Dössel, & W. C. Schlegel (Eds.), IFMBE proceedings: Vol. 25. World congress on medical physics and biomedical engineering, 7–12 September 2009, Munich, Germany (pp. 612–615). Berlin: Springer.
  Kovács, G., Pötter, R., Loch, T., Hammer, J., Kolkman-Deurloo, I. K., de la Rosette, J. J., & Bertermann, H. (2005). GEC/ESTRO-EAU recommendations on temporary brachytherapy using stepping sources for localised prostate cancer. Radiotherapy and Oncology, 74(2), 137–148. CrossRef
  Lahanas, M., Baltas, D., Giannouli, S., Milickovic, N., & Zamboglou, N. (2000). Generation of uniformly distributed dose points for anatomy-based three-dimensional dose optimization methods in brachytherapy. Medical Physics, 27(5), 1034–1046. CrossRef
  Lahanas, M., Baltas, D., & Zamboglou, N. (2003). A hybrid evolutionary algorithm for multi-objective anatomy-based dose optimization in high-dose-rate brachytherapy. Physics in Medicine and Biology, 48(3), 399–415. CrossRef
  Lessard, E., & Pouliot, J. (2001). Inverse planning anatomy-based dose optimization for HDR
  achytherapy of the prostate using fast simulated annealing algorithm and dedicated objective function. Medical Physics, 28(5), 773–779. CrossRef
  Reeves, C. R. (2005). Fitness landscapes. In E. K. Burke & G. Kendall (Eds.), Search methodologies (pp. 587–610). New York: Springer. CrossRef
  Rivard, M. J., Coursey, B. M., DeWerd, L. A., Hanson, W. F., Huq, M. S., Ibbott, G. S., Mitch, M. G., Nath, R., & Williamson, J. F. (2004). Update of AAPM task group no. 43 report: a revised AAPM protocol for brachytherapy dose calculations. Medical Physics, 31(3), 633–674. CrossRef
  Ruotsalainen, H., Miettinen, K., Palmgren, J. E., & Lahtinen, T. (2010). Interactive multiobjective optimization for anatomy-based three-dimensional HDR brachytherapy. Physics in Medicine and Biology, 55(16), 4703–4719. CrossRef
  Russell, K. R., Carlsson Tedgren, Å., & Ahnesjö, A. (2005). Brachytherapy source characterization for improved dose calculations using primary and scatter dose separation. Medical Physics, 32(9), 2739–2752. CrossRef
  Sastry, K., Goldberg, D., & Kendall, G. (2005). Genetic algorithms. In E. K. Burke & G. Kendall (Eds.), Search methodologies (pp. 97–125). Berlin: Springer. CrossRef
  Siauw, T., Cunha, A., Atamturk, A., Hsu, I. C., Pouliot, J., & Goldberg, K. (2011). IPIP: a new approach to inverse planning for HDR brachytherapy by directly optimizing dosimetric indices. Medical Physics, 38(7), 4045–4051. CrossRef
  Siauw, T., Cunha, A., Berenson, D., Atamturk, A., Hsu, I. C., Goldberg, K., & Pouliot, J. (2012). NPIP: a skew line needle configuration optimization system for HDR brachytherapy. Medical Physics, 39(7), 4339–4346. CrossRef
  
• 作者单位：Åsa Holm (1)
  Åsa Carlsson Tedgren (2) (3)
  Torbjörn Larsson (1)
  
  1. Department of Mathematics, Linköping University, 581 83, Linköping, Sweden
  2. Swedish Radiation Safety Authority, 171 16, Stockholm, Sweden
  3. Department of Medical and Health Sciences, Linköping University, 581 85, Linköping, Sweden
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Operation Research and Decision Theory
  Combinatorics
  Theory of Computation
  
• 出版者：Springer Netherlands
• ISSN：1572-9338

文摘

High dose-rate (HDR) brachytherapy is one kind of radiotherapy used to treat different forms of cancer, such as prostate cancer. When this treatment is used for prostate cancer, a radioactive source is moved through catheters implanted into the prostate. For each patient, a treatment plan is constructed. This plan determines for example catheter positions and dwell time distribution, that is, where to the radioactive source should stop and for how long. Mathematical optimization methods have been used to find dwell time distributions of high quality; however few optimization approaches that concern catheter positioning have been studied. In this article we present an integrated model that optimizes catheter positioning and dwell time distribution simultaneously. Our results show that integrating the catheter positioning yields a large reduction of the dwell time distribution objective value (15–94 %) and slight improvements in clinical quality measures. Since the presented model is computationally demanding to solve, we also present three heuristics: a tabu search, a variable neighbourhood search and a genetic algorithm. Of these, variable neighbourhood search is the best, and out-performs a state-of-the-art optimization software (CPLEX) and the two other heuristics. Keywords Brachytherapy Dose planning Catheter positioning Mixed integer programming Metaheuristics