A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis

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 o...

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Detalles Bibliográficos
Autores principales: Ribba, B, Holford, N H, Magni, P, Trocóniz, I, Gueorguieva, I, Girard, P, Sarr, C, Elishmereni, M, Kloft, C, Friberg, L E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050233/
https://www.ncbi.nlm.nih.gov/pubmed/24806032
http://dx.doi.org/10.1038/psp.2014.12
Descripción
Sumario: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.

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