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Cellular Automaton Models Of Tumor Development: A Critical Review

Author

Listed:
  • JOANA MOREIRA

    (Zentrum für Hochleistungsrechnen, Technische Universität Dresden, Dresden, Germany)

  • ANDREAS DEUTSCH

    (Zentrum für Hochleistungsrechnen, Technische Universität Dresden, Dresden, Germany)

Abstract

Cancer development can be viewed as an example of spatio-temporal pattern formation. Several attempts have been made to model and predict malignant tumor behavior and also to account for immune system response and the impact of possible clinical treatments. Modeling started from a macroscopic perspective and developed towards cell-based approaches, from which cellular automaton (CA) models are an example.In this article, we first introduce the general concept of CA systems. Then, we review CA models of tumor development, focusing on avascular and vascular growth, tumor invasion and angiogenesis. Finally, a comparative analysis of the models as well as criteria for designing new CA models are provided and future perspectives are outlined.

Suggested Citation

  • Joana Moreira & Andreas Deutsch, 2002. "Cellular Automaton Models Of Tumor Development: A Critical Review," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(02n03), pages 247-267.
    • Handle: RePEc:wsi:acsxxx:v:05:y:2002:i:02n03:n:s0219525902000572
    DOI: 10.1142/S0219525902000572
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    Cited by:

    1. Züleyha, Artuç & Ziya, Merdan & Selçuk, Yeşiltaş & Kemal, Öztürk M. & Mesut, Tez, 2017. "Simulation of glioblastoma multiforme (GBM) tumor cells using ising model on the Creutz Cellular Automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 901-907.
    2. Charalambos Loizides & Demetris Iacovides & Marios M Hadjiandreou & Gizem Rizki & Achilleas Achilleos & Katerina Strati & Georgios D Mitsis, 2015. "Model-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo Carcinogenesis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
    3. Wendykier, Jacek & Bieniasiewicz, Marcin & Lipowski, Adam & Pawlak, Andrzej, 2016. "Competing species system as a qualitative model of radiation therapy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 81-93.

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