Radiobiological modeling in radiation oncology
Radiobiological models are widely used to predict the outcome of radiation therapy based on dose distribution characteristics. The need for these models has emerged as radiotherapy practice has evolved. In the past, the optimization process in radiotherapy was performed through trial and error by calculating and comparing multiple treatment plans. While, to this end with new technologies in radiotherapy manual optimization is no longer practical and auto¬mated optimization algorithms have been developed. Most of these algorithms use absorbed dose in an objective function used in the planning process. However, dose is clearly a surrogate for biological response. This study provides an overview of the present status of radiobiological models that can be used for treatment planning in radiation therapy.
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