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. 2012 Jul 12;2012:960256. doi: 10.1155/2012/960256

Table 1.

Models that simulate tumour growth and/or radiotherapy, without tumour oxygenation considerations (avascular tumours).

Model details Objectives Key parameters Model outcomes
Stochastic, CELLSIM, and CELLGROW, Donaghey, 1981–1983 [1, 2] Individual cell/cell group growth model Phase transition probabilities, proliferation-based commands on up to 90 cell groups, contact inhibition modelled Monolayer cell growth achieved and RT/drug therapy applied

Mathematical, O'Donoghue, 1997 [3] Modelling exponential proliferation at small tumour sizes and Gompertzian at larger sizes 3 LQ based parameters, 2 growth related parameters and 1 radiation induced death rate parameter The effects of RT described in terms of cure (clonogenic cell sterilization) and/or tumour regression/regrowth

Stochastic, Marcu et al., 2002–2006 [4, 5] Modelling tumour growth and response to radiotherapy Cell cycle specific surviving fractions (SF2) based on LQ model. Repopulation mechanisms during RT such as cell recruitment, accelerated stem cell division, and asymmetry loss in stem division The effect of conventional and altered fractionation radiotherapy on cell survival evaluated. The contribution and likeliness of repopulation mechanisms assessed