title: The model muddle: in search of tumor growth laws.
abstract: In this article, we will trace the historical development of tumor growth laws, which in a quantitative fashion describe the increase in tumor mass/volume over time. These models are usually formulated in terms of differential equations that relate the growth rate of the tumor to its current state and range from the simple one-parameter exponential growth model to more advanced models that contain a large number of parameters. Understanding the assumptions and consequences of such models is important, as they often underpin more complex models of tumor growth. The conclusion of this brief survey is that although much improvement has occurred over the last century, more effort and new models are required if we are to understand the intricacies of tumor growth.
authors: Sahlgrenska Cancer Center, University of Gothenburg, Gothenburg, Sweden. philip.gerlee@gu.se
authors: Philip
authors: P
authors: Gerlee
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000473:pathology*; D047368:Tumor Burden