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Applying radiation induced tissue damage models to cell-colony data analysis and dose-volume constraint estimation.

机译:将辐射诱导的组织损伤模型应用于细胞集落数据分析和剂量-体积约束估计。

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摘要

The effects of radiation damage, tumour repopulation, repair and the possibility to extract information about the model parameters describing them are investigated. Published data on cultured cell lines were analyzed by employing a non-Poissonian tumour control probability model. A report in the literature, where in-vivo data were analyzed, the employment of the single-hit model of cell kill and cell repopulation produced the best fit. Ignoring the quadratic term of cell damage in the current analysis leads to poor fits. Our data analysis shows the importance of the linear-quadratic mechanism of cell damage for the description of the in-vitro cell dynamics.; The possibility of calculating more radiobiologically adequate dose-volume constraints for the needs of the radiation treatment optimization is investigated. Based on the Lyman and the critical volume normal tissue complication probability (NTCP) models, the Monte-Carlo method of reverse NTCP mapping is applied for the calculation of new dose-volume constraint information.
机译:研究了辐射损伤,肿瘤重新聚集,修复的效果以及提取有关描述它们的模型参数的信息的可能性。通过采用非泊松肿瘤控制概率模型分析了已培养细胞系的公开数据。文献中的一份报告分析了体内数据,采用单命中的细胞杀伤和细胞重聚模型最适合。在当前分析中忽略细胞损伤的二次项会导致拟合度较差。我们的数据分析显示了细胞损伤的线性二次机制对于描述体外细胞动力学的重要性。研究了为满足放射治疗优化需求而计算出更符合放射生物学要求的剂量-体积约束的可能性。基于Lyman模型和临界体积正常组织并发症概率(NTCP)模型,将反向NTCP映射的蒙特卡洛方法应用于新的剂量-体积约束信息的计算。

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