Kendal W S
Department of Radiation Oncology, The Ottawa Regional Cancer Center, Ontario, Canada.
Int J Radiat Biol. 1998 Feb;73(2):207-10. doi: 10.1080/095530098142590.
To derive a closed form expression of tumour control probability (TCP) following the geometric stochastic approach of Tucker and Taylor.
A model was constructed based upon a Galton-Watson branching process with cell killing represented by a Bernoulli random variable, and repopulation represented by a Yule Fury process. A closed-form expression of the probability-generating function was derived, which yielded an explicit expression for the mean number of surviving clonogens and the TCP.
The mean number of surviving cells, after i clonogens have been treated with n fractions of irradiation, was [equation: see text], where s is the surviving fraction, lambda is the rate of cell division, and delta t is the interfraction time interval. The tumour control probability was [equation: see text].
Tucker and Taylor provided improvements upon the conventional Poisson model for TCP, mainly through numerical simulation. Here a model based upon their geometric stochastic approach has been derived in closed form. The resultant equations provide a simpler alternative to numerical simulation allowing the effects of fractionated radiotherapy on a replicating population of tumour cells to be more easily predicted.
采用塔克(Tucker)和泰勒(Taylor)的几何随机方法推导肿瘤控制概率(TCP)的闭式表达式。
基于高尔顿 - 沃森分支过程构建模型,细胞杀伤由伯努利随机变量表示,再增殖由尤尔 - 弗里(Yule Fury)过程表示。推导出生成概率函数的闭式表达式,由此得出存活克隆原细胞平均数和肿瘤控制概率的显式表达式。
在用(n)次分割照射处理(i)个克隆原细胞后,存活细胞的平均数为[公式:见原文],其中(s)是存活分数,(\lambda)是细胞分裂速率,(\Delta t)是分割间时间间隔。肿瘤控制概率为[公式:见原文]。
塔克和泰勒主要通过数值模拟对传统的肿瘤控制概率泊松模型进行了改进。在此,基于他们的几何随机方法推导了一个闭式模型。所得方程为数值模拟提供了一种更简单的替代方法,使分割放射治疗对肿瘤细胞复制群体的影响更容易预测。