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首页> 外文期刊>British Journal of Radiology >Altered fractionation outcomes for hypoxic head and neck cancer using the HYP-RT Monte Carlo model
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Altered fractionation outcomes for hypoxic head and neck cancer using the HYP-RT Monte Carlo model

机译:使用HYP-RT蒙特卡洛模型改变缺氧性头颈癌的分级结果

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Objective: Altered fractionation radiotherapy is simulated on a set of virtual tumours to assess the total doses required for tumour control compared with clinical head and neck data and the doses required to control hypoxic vs well-oxygenated tumours with different radiobiological properties. Methods: The HYP-RT model is utilised to explore the impact of tumour oxygenation and the onset times of accelerated repopulation (AR) and reoxygenation (ROx) during radiotherapy. A biological effective dose analysis is used to rank the schedules based on their relative normal tissue toxicities. Results: Altering the onset times of AR and ROx has a large impact on the doses required to achieve tumour control. Immediate onset of ROx and 2-week onset time of AR produce results closely predicting average human outcomes in terms of the total prescription doses in clinical trials. Modifying oxygen enhancement ratio curves based on dose/fraction significantly reduces the dose (5-10 Gy) required for tumour control for hyperfractionated schedules. HYP-RT predicts 10×1.1 Gy per week to be most beneficial, whereas the conventional schedule is predicted as beneficial for early toxicity but has average-poor late toxicity. Conclusion: HYP-RT predicts that altered radiotherapy schedules increase the therapeutic ratio and may be used to make predictions about the prescription doses required to achieve tumour control for tumours with different oxygenation levels and treatment responses. Advances in knowledge: Oxic and hypoxic tumours have large differences in total radiation dose requirements, affected by AR and ROx onset times by up to 15-25Gy for the same fractionation schedule.
机译:目的:在一组虚拟肿瘤上模拟改变的分割放射疗法,以评估与临床头颈数据相比,控制肿瘤所需的总剂量,以及控制具有不同放射生物学特性的低氧与氧合良好的肿瘤所需的剂量。方法:HYP-RT模型用于探讨肿瘤氧合的影响以及放疗过程中加速再填充(AR)和再氧合(ROx)的发作时间。生物有效剂量分析用于根据时间表的相对正常组织毒性对时间表进行排序。结果:改变AR和ROx的发作时间对实现肿瘤控制所需的剂量有很大影响。 ROx的立即发作和AR的2周发作时间产生的结果密切预测了根据临床试验中总处方剂量得出的人类平均预后。根据剂量/分数修改氧气增强比曲线可显着降低针对超分割方案的肿瘤控制所需的剂量(5-10 Gy)。 HYP-RT预测最有利的是每周10×1.1 Gy,而传统的治疗方案预计对早期毒性有益,但晚期毒性中等。结论:HYP-RT预测改变的放疗时间表将提高治疗率,并可用于对不同氧合水平和治疗反应的肿瘤实现肿瘤控制所需的处方剂量进行预测。知识的进步:缺氧和低氧肿瘤的总放射剂量要求存在很大差异,在相同的分级方案中,AR和ROx发作时间最多可影响15-25Gy。

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