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肿瘤生长的随机模型。

A stochastic model in tumor growth.

作者信息

Albano G, Giorno V

机构信息

Dipartimento di Matematica e Informatica, Università di Salerno Via Ponte don Melillo-84084 Fisciano, SA-Italy.

出版信息

J Theor Biol. 2006 Sep 21;242(2):329-36. doi: 10.1016/j.jtbi.2006.03.001. Epub 2006 Apr 19.

Abstract

A stochastic model of solid tumor growth based on deterministic Gompertz law is presented. Tumor cells evolution is described by a one-dimensional diffusion process limited by two absorbing boundaries representing healing threshold and patient death (carrying capacity), respectively. Via a numerical approach the first exit time problem is analysed for the process inside the region restricted by the boundaries. The proposed model is also implemented to simulate the effects of a time-dependent therapy. Finally, some numerical results are obtained for the specific case of a parathyroid tumor.

摘要

提出了一种基于确定性戈姆珀茨定律的实体肿瘤生长随机模型。肿瘤细胞的演化由一维扩散过程描述,该过程受两个分别代表治愈阈值和患者死亡(承载能力)的吸收边界限制。通过数值方法分析了边界限制区域内过程的首次退出时间问题。所提出的模型还用于模拟时间依赖性治疗的效果。最后,针对甲状旁腺肿瘤的具体情况获得了一些数值结果。

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