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• W1999788127 abstract "I n the treatment of cancer with radiation, the radiation oncologist is faced with the problem of prescribing a treatment regime that either cures or controls the disease, but does not inflict serious complications to the patient. The difficulty of this task is illustrated by the dose-response relationships between tumor/normal tissues and the radiation dose delivered. In general, published clinical and experimental results show tumor control or normal tissue effect response as a very steep function of radiation dose. For example, a small change in the dose delivered (*5%) can result in a dramatic change in the local response of the tissue (+ZO%).‘~* Moreover, the prescribed curative doses are often close to the dose tolerated by the normal tissue. Thus, for optimum treatment, the radiation dose must be planned and delivered with a high degree of accuracy. While it is difficult to assess how accurate the overall process should be, the International Commission on Radiation Units and Measurements (ICRU) recommends that dose be delivered with an error less than ?5%.3 Thus, each step (eg, machine calibration, patient positioning, dose calculation) needs to be performed to an accuracy much better than +5%. For the dose-calculation step, the necessary accuracy is believed to be on the order of 2% to 3%.4 Today, most computerized planning of radiation therapy is still treated as a two-dimensional problem because of technical limitations of the planning computer, even though it is recognized that the relationship of the tumor and neighboring normal critical structures is an inherently three-dimensional problem.5 However, in recent years the availability of affordable higher performance computers and graphics devices has greatly spurred the development of" @default.
• W1999788127 created "2016-06-24" @default.
• W1999788127 creator A5051504597 @default.
• W1999788127 date "1992-10-01" @default.
• W1999788127 modified "2023-09-26" @default.
• W1999788127 title "Photon dose calculations for three-dimensional radiation treatment planning" @default.
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• W1999788127 doi "https://doi.org/10.1016/1053-4296(92)90021-c" @default.
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