Non-extensive放射生物学

O. Sotolongo-Grau, Daniel Rodr'iguez-P'erez, J. Antoranz, O. Sotolongo-Costa
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引用次数: 4

摘要

辐射损伤细胞存活因子的表达基于概率假设,并对每种肿瘤、辐射和条件进行实验拟合。在这里,我们展示了如何从经典玻尔兹曼-吉布斯表达式的最大熵原理中推导出这些最简单的放射生物学模型。我们使用Tsallis熵和截断假设来扩展这个推导,这是由临床观察激发的。将指数、对数和乘积推广到一个不广泛的框架,就提供了一个简单的公式,计算在活组织上施加若干辐射剂量所对应的生存分数。所得表达式与文献中的实验数据非常吻合,并对新引入的一些参数提供了新的解释。通过定义肿瘤和周围组织之间简单计算的潜在效应差异,也显示了所提出的形式如何直接应用于放疗治疗的优化。
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Non-extensive radiobiology
The expression of survival factors for radiation damaged cells is based on probabilistic assumptions and experimentally fitted for each tumor, radiation and conditions. Here we show how the simplest of these radiobiological models can be derived from the maximum entropy principle of the classical Boltzmann-Gibbs expression. We extend this derivation using the Tsallis entropy and a cutoff hypothesis, motivated by clinical observations. A generalization of the exponential, the logarithm and the product to a non-extensive framework, provides a simple formula for the survival fraction corresponding to the application of several radiation doses on a living tissue. The obtained expression shows a remarkable agreement with the experimental data found in the literature, also providing a new interpretation of some of the parameters introduced anew. It is also shown how the presented formalism may has direct application in radiotherapy treatment optimization through the definition of the potential effect difference, simply calculated between the tumour and the surrounding tissue.
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