Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 960256, 16 pages
http://dx.doi.org/10.1155/2012/960256
Review Article

In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances

Loredana G. Marcu1,2,3 and Wendy M. Harriss-Phillips1,2

1Department of Medical Physics, Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia
2School of Chemistry and Physics, University of Adelaide, Adelaide, SA 5000, Australia
3Faculty of Science, University of Oradea, 410087 Oradea, Romania

Received 14 February 2012; Revised 10 May 2012; Accepted 14 May 2012

Academic Editor: Scott Penfold

Copyright © 2012 Loredana G. Marcu and Wendy M. Harriss-Phillips. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling.