• DocumentCode
    2736410
  • Title

    Stochastic modeling and validation of growth saturation and radiotherapeutic response of multicellular tumor spheroids

  • Author

    Zacharaki, E.I. ; Stamatakos, G.S. ; Nikita, K.S. ; Uzunoglu, N.K.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    3039
  • Lastpage
    3042
  • Abstract
    An advanced three-dimensional (3D) Monte Carlo simulation model of both the avascular development of multicellular tumor spheroids and their response to radiation therapy is presented. The model is based upon a number of fundamental biological principles such as the transition between the cell cycle phases, the diffusion of oxygen and nutrients and the cell survival probabilities following irradiation. Predicted histological structure and tumor growth rates evaluated for the case of EMT6/Ro spheroids have been shown to be in agreement with published experimental data. Furthermore, the underlying structure of the tumor spheroid as well as its response to irradiation satisfactorily agrees with laboratory experience.
  • Keywords
    Monte Carlo methods; biodiffusion; cancer; cellular effects of radiation; digital simulation; medical computing; oxygen; physiological models; probability; radiation therapy; stochastic processes; tumours; EMT6-Ro spheroids; Monte Carlo simulation model; O/sub 2/; avascular development; cell cycle phases; cell irradiation; cell survival probability; computer simulation; fractionation; fundamental biological principle; multicellular tumor spheroids; nutrient diffusion; oxygen diffusion; radiation therapy; radiosensitivity; radiotherapeutic response; stochastic modeling; tumour growth saturation; Biological system modeling; Biomedical applications of radiation; Cells (biology); Computer simulation; Fractionation; In vivo; Neoplasms; Predictive models; Stochastic processes; Sugar; fractionation; multicellular spheroid; radiation; radiosensitivity; simulation model; tumor growth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403860
  • Filename
    1403860