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Radiobiologically guided optimisation of the prescription dose and fractionation scheme in radiotherapy using BioSuite

机译:使用BioSuite进行放射治疗的放射生物学指导优化处方剂量和分级方案

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Objective: Radiobiological models provide a means of evaluating treatment plans. Keeping in mind their inherent limitations, they can also be used prospectively to design new treatment strategies which maximise therapeutic ratio. We propose here a new method to customise fractionation and prescription dose. Methods: To illustrate our new approach, two non-small cell lung cancer treatment plans and one prostate plan from our archive are analysed using the in-house software tool BioSuite. BioSuite computes normal tissue complication probability and tumour control probability using various radiobiological models and can suggest radiobiologically optimal prescription doses and fractionation schemes with limited toxicity. Results: Dose-response curves present varied aspects depending on the nature of each case. The optimisation process suggests doses and fractionation schemes differing from the original ones. Patterns of optimisation depend on the degree of conformality, the behaviour of the normal tissue ( i.e. "serial" or "parallel"), the volume of the tumour and the parameters of clonogen proliferation. Conclusion: Individualising the prescription dose and number of fractions with the help of BioSuite results in improved therapeutic ratios as evaluated by radiobiological models.
机译:目的:放射生物学模型提供了一种评估治疗计划的方法。牢记它们的固有局限性,它们也可用于设计新的治疗策略以最大化治疗率。我们在这里提出一种新的方法来定制分级和处方剂量。方法:为了说明我们的新方法,我们使用内部软件工具BioSuite分析了我们档案中的两个非小细胞肺癌治疗计划和一个前列腺计划。 BioSuite使用各种放射生物学模型计算正常的组织并发症概率和肿瘤控制概率,并可以提出毒性有限的放射生物学最佳处方剂量和分级方案。结果:剂量反应曲线呈现出不同的情况,具体取决于每种情况的性质。优化过程表明剂量和分馏方案与原始方案不同。优化的模式取决于适形程度,正常组织的行为(即“串行”或“平行”),肿瘤的大小以及克隆原增殖的参数。结论:借助BioSuite个性化处方剂量和级分数量,可以提高放射生物学模型评估的治疗率。

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