A parametric study of a multiphase porous media model for tumor spheroids and environment interactions

P. Mascheroni, D. P. Boso, C. Stigliano, M. Carfagna, L. Preziosi, P. Decuzzi, B. A. Schrefler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computational models for tumor growth provide an effective in silico tool to investigate the different stages of cancer growth. Recently, a series of computational models based on porous media theory has been proposed to predict tumor evolution and its interactions with the host tissue. In addition, a specialization of the original models, adapted for tumor spheroids, has been proposed and validated experimentally. However, due to the complexity of the modeling framework, a systematic understanding of the role of the parameters governing the equations is still lacking. In this work, we perform a parametric analysis on a set of fundamental parameters appearing in the model equations. We investigate the effects of a variation of these coefficients on the spheroid growth curves and, in particular, on the final radii reached by the cell aggregates in the growth saturation stage. Finally, we provide a discussion of the results and give a brief summary of our findings.

Original languageEnglish (US)
Title of host publicationECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
EditorsG. Stefanou, V. Papadopoulos, V. Plevris, M. Papadrakakis
PublisherNational Technical University of Athens
Pages178-187
Number of pages10
ISBN (Electronic)9786188284401
DOIs
StatePublished - 2016
Event7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016 - Crete, Greece
Duration: Jun 5 2016Jun 10 2016

Publication series

NameECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
Volume1

Other

Other7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
CountryGreece
CityCrete
Period6/5/166/10/16

Keywords

  • Cancer growth
  • Growth inhibition
  • Mathematical modeling
  • Mechanical compression of spheroids
  • Parametric analysis
  • U-87mg spheroids

ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics

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