  Determining the mathematical dynamics and associated parameter values that
should be used to accurately reflect tumor growth continues to be of interest
to mathematical modelers, experimentalists and practitioners. However, while
there are several competing canonical tumor growth models that are often
implemented, how to determine which of the models should be used for which
tumor types remains an open question. In this work, we determine the best fit
growth dynamics and associated parameter ranges for ten different tumor types
by fitting growth functions to at least five sets of published experimental
growth data per type of tumor. These time-series tumor growth data are used to
determine which of the five most common tumor growth models (exponential, power
law, logistic, Gompertz, or von Bertalanffy) provides the best fit for each
type of tumor.
