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Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/73523

Type: Journal article
Title: In silico modelling of treatment-induced tumour cell kill: Developments and advances
Author: Marcu, L.
Harriss-Phillips, W.
Citation: Computational and Mathematical Methods in Medicine, 2012; 2012:1-16
Publisher: Hindawi Publishing Corporation
Issue Date: 2012
ISSN: 1748-670X
1748-6718
Statement of
Responsibility: 
Loredana G. Marcu and Wendy M. Harriss-Phillips
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.
Keywords: Animals; Humans; Neoplasms; Anoxia; Combined Modality Therapy; Drug Therapy; Dose Fractionation; Area Under Curve; Monte Carlo Method; Stochastic Processes; Kinetics; Algorithms; Models, Theoretical; Computer Simulation
Description: Extent: 16p.
Rights: 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.
RMID: 0020121487
DOI: 10.1155/2012/960256
Appears in Collections:Chemistry and Physics publications
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