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. Author manuscript; available in PMC: 2017 Nov 25.
Published in final edited form as: Int J Radiat Oncol Biol Phys. 2016 Apr 19;96(1):179–187. doi: 10.1016/j.ijrobp.2016.04.014

Fig. 1. Model conceptualization.

Fig. 1

The computational model was developed and optimized with data from the unirradiated control group in a previous experiment of prophylactic cranial irradiation (PCI) in combination with tumor-cell injection. The growth of the metastases was assumed to follow Gompertzian kinetics, and log-normal volume fits were used to generate a distribution of Gompertz parameters b and k. The fits for the number of metastases per mouse were the reference points for the optimization. The linear quadratic formula was used to convert radiation dose into a survival fraction, in which the parameters α and β were determined through clonogenic assays. The model output could then be compared with the irradiated groups in the PCI experiment.