A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.
A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.
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DOI：
10.1038/psp.2014.12
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发表时间：
2014-05-07
影响因子：
3.5
通讯作者：
Friberg, L E
中科院分区：
文献类型：
--
作者：
Ribba, B;Holford, N H;Magni, P;Troconiz, I;Gueorguieva, I;Girard, P;Sarr, C;Elishmereni, M;Kloft, C;Friberg, L E
肿瘤大小动力学的群体建模最近已成为药物计量学研究的重要工具。最近报道了一系列新的混合效应模型，我们在此提出了一个综合的观点，模型与已发表的数学方程，旨在描述抗癌药物治疗后癌症患者肿瘤大小的动态。这些模型的选择将构成药物疾病模型资源（DDMore）肿瘤模型库的基础。
Population modeling of tumor size dynamics has recently emerged as an important tool in pharmacometric research. A series of new mixed-effects models have been reported recently, and we present herein a synthetic view of models with published mathematical equations aimed at describing the dynamics of tumor size in cancer patients following anticancer drug treatment. This selection of models will constitute the basis for the Drug Disease Model Resources (DDMoRe) repository for models on oncology.