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Optimization of Radiotherapy Plan under Uncertainty

Amir, Atabeiki | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48688 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Rafiee, Majid
  7. Abstract:
  8. As a method of cancer treatment or improvement of cancer-related complications, external radiation therapy is prescribed by physicians, in case of detection of a tumor in a region of patient’s body. Over time, various techniques have been developed for external beam radiation therapy. Among which, Intensity Modulated Radiation Therapy (IMRT), due to its ability to adjust the intensity of radiation beams, has a higher capacity to generate appropriate dose distribution based on tumor size and volume and it is one of the most widely used techniques in cancer treatment centers.The core process in treatment planning is using appropriate computer algorithms which results in posing enough damage to cancerous cells, and also conserving the healthy organs surrounding the tumor, to the most. These algorithms are modeled based on mathematical and operations research techniques in partnership with a team of oncologists, radiotherapists, physicists and dosimetrists. In this thesis, to optimize IMRT treatment plan, two hybrid models considering parameters uncertainties are proposed that combine physical and biological criteria. Using stochastic programing and expected value concept, we have calculated the equivalent certain form of both proposed models and to evaluate them, we have simulated proposed models using a sample of prostate cancer case. We have generated treatment plans once with our proposed models in this study and with the aid of PSO algorithm and again with CERR program. The two models results have been compared with each other and also with CERR outputs. Models results Comparison with the outgoing of CERR program, shows better protection of the organ at risk (bladder) while maintaining the prescribed damaging to the tumor
  9. Keywords:
  10. Treatment Planning ; Hybrid Modeling ; Physical Model ; Biological Models ; Radiotherapy ; Cancer Treatment ; External Radiation Therapy ; Fluence Map Optimization

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