A stochastic simulation of tumor growth.
The growth of a tumor is described by a nonlinear stochastic representation. A systematic approach based on Taylor series expansion is adopted to solve the nonlinear master equation governing the variation of tumor weight as a function of time. The analysis of the available experimental data reveals that the growth rate of a tumor has a power law dependence on its weight.
Department of Chemical Engineering, National Taiwan University, Tamsui, R.O.C.
J P
JP
Hsu
S
S
Tseng
D000818:Animals; D002455:Cell Division; D005354:Fibrosarcoma / Q000473:pathology; D008954:Models, Biological; D009369:Neoplasms / Q000473:pathology*; D013223:Statistics as Topic; D013269:Stochastic Processes