1H05-Radiation Therapy Planning: Uncertainties and Biological Parameters

Jacob Van Dyk, MSc

Clinical Physics

London Regional Cancer Centre

790 Commissioners Rd E

London, ON  N6A 4L6

CANADA

During the last decade there has been a revolution in the technological developments for radiation treatment such that a higher dose can be delivered tightly in the tumour volume while sparing critical normal tissues. The process of radiation treatment is complex and involves multiple steps. Each step of the process of radiation treatment involves uncertainties which may compromise the potential advantages of the new, complex and expensive technologies. Therefore, it is important not only to have a quantitative understanding of the uncertainties associated with the multiple steps in the radiation treatment process but also to incorporate these uncertainties into the treatment plan optimization process. Biological modeling is becoming more common as part of the automated optimization process. This lecture will summarize issues related to quantitating uncertainties in radiation treatments and the use of radiobiological modeling for treatment planning.

1H05-放射治疗计划设计：不确定性和生物学参数

Jacob Van Dyk, MSc

Clinical Physics

London Regional Cancer Centre

790 Commissioners Rd E

London, ON  N6A 4L6

CANADA

在过去十年中，放射治疗的技术发展取得了革命性的进步，从而可以在保护正常危急组织的同时提高肿瘤区的剂量。放射治疗的过程比较复杂，涉及到很多步骤。每一步都含有可能潜在消弱这些新的、复杂、昂贵技术的应用优势的不确定因素。因此，重要的是不仅要对与放射治疗过程的多个步骤有关的不确定性有个定量的了解，还要将这些不确定因素结合到治疗计划优化过程中去。生物模型正越来越多地应用到自动优化过程中。本报告将总结与定量放射治疗中不确定因素有关的问题和治疗计划中放射生物模型的使用。