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A Bio-Mathematical Model for Parallel Organs and its use in Ranking Radiation Treatment Plans

机译:平行器官的生物数学模型及其在放射治疗计划排名中的应用

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To develop a new bio-mathematical model, named LQ-based parallel-organ model, that can overcome the limitation of interpreting the simple dose-volume information so as to rank the radio- toxicity of parallel organs in the same patient. A parallel organ consists of Function Subunits (FSUs), with each FSU being equal and representative in functional status. Based on the Linear-Quadratic model (LQ model), we had derived a bio-mathematical model to calculate the survival cell number for radiation dose response. We then compared the cell survival number for the ranking of treatment plans for the same patient. Ninety 3D plans from forty-five randomly selected lung cancer patients were generated using the ELEKTA precise 2.12 treatment planning system. The LQ-based parallel-organ model was tested against the widely used Lyman-Kutcher-Burman model (LKB model). There was no distinct statistical difference in plan ranking between using the LQ-based parallel-organ model and the LKB model (P = 0.475). Ranking plans by the Vx, Mean Lung Dose (MLD) and the LQ-based parallel-organ model shows that there was no distinct statistical difference between V5, V10, V20, MLD and the LQ-based parallel-organ model, respectively (all Ps > 0.05). The proposed LQ-based parallel-organ model was found to be efficient and reliable for ranking treatment plans for the same patient.
机译:建立一种新的生物数学模型,称为基于LQ的并行器官模型,可以克服解释简单剂量-体积信息从而对同一患者的并行器官的放射毒性进行分级的局限性。平行器官由功能亚单位(FSU)组成,每个功能亚单位均相等并代表功能状态。基于线性二次模型(LQ模型),我们导出了一个生物数学模型来计算辐射剂量反应的存活细胞数。然后,我们比较了细胞存活数,以比较同一位患者的治疗计划。使用ELEKTA精确2.12治疗计划系统,从四十五名随机选择的肺癌患者中生成了九十个3D计划。针对广泛使用的Lyman-Kutcher-Burman模型(LKB模型)对基于LQ的并行器官模型进行了测试。使用基于LQ的并行器官模型和LKB模型之间的计划排名没有明显的统计差异(P = 0.475)。通过Vx,平均肺部剂量(MLD)和基于LQ的并行器官模型进行的排名计划显示,V5,V10,V20,MLD和基于LQ的并行器官模型之间分别没有明显的统计差异(所有Ps> 0.05)。发现基于提议的基于LQ的并行器官模型对于对同一患者的治疗计划进行排序是有效且可靠的。

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