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Authors: Dario Panada and Bijan Parsia

Affiliation: Department of Computer Science, The University of Manchester, Oxford Road, Manchester, U.K.

Keyword(s): Agent-based Models, In-silico Modelling, Bio-oncology, Cancer, Simulations.

Abstract: Artificial modelling of tumours can provide insights in cancer biology and offer a powerful complement to laboratory research. A common approach is to simulate tumour growth in a two-dimensional environment and to then generalize results to a three-dimensional one. Literature suggests this strategy fails to adequately capture the underlying biology and may provide misleading results. To establish whether 2D models may form a viable alternative to 3D ones, we developed a model comprising cancer cell growth and proliferation and soluble diffusion to replicate experiments previously performed in a laboratory. We made use of established parametrization techniques to configure our simulations and novel error estimation strategies to evaluate them. Our results suggest that the same simulation in 2D and 3D yields significantly different results. Further, that the cause of this discrepancy lies in the spatial geometry of 2D simulations which does not allow for the formation of hypoxic region s in the tumour mass. We conclude with a recommendation that due to the limitations of 2D simulations, and the negligible difference in cost between the two approaches, 3D simulations should be employed over 2D ones. (More)

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Paper citation in several formats:
Panada, D. and Parsia, B. (2021). The Trap of 2D in Artificial Models of Tumours: The Case for 3D In-silico Simulations. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-528-9; ISSN 2184-2841, SciTePress, pages 239-247. DOI: 10.5220/0010517702390247

@conference{simultech21,
author={Dario Panada. and Bijan Parsia.},
title={The Trap of 2D in Artificial Models of Tumours: The Case for 3D In-silico Simulations},
booktitle={Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2021},
pages={239-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010517702390247},
isbn={978-989-758-528-9},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - The Trap of 2D in Artificial Models of Tumours: The Case for 3D In-silico Simulations
SN - 978-989-758-528-9
IS - 2184-2841
AU - Panada, D.
AU - Parsia, B.
PY - 2021
SP - 239
EP - 247
DO - 10.5220/0010517702390247
PB - SciTePress

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