The aim of this paper is to investigate the most critical parameters determining radiotherapy treatment outcome in terms of tumor cell kill for glioblastoma multiforme tumors by using an already developed simulation model of in vivo tumor response to radiotherapy.
In Silico Oncology Group, School of Electrical and Computer Engineering, Institute of Communication and Computer Systems, National Technical University of Athens, Greece
In Silico Oncology Group, School of Electrical and Computer Engineering, Institute of Communication and Computer Systems, National Technical University of Athens, Greece
In Silico Oncology Group, School of Electrical and Computer Engineering, Institute of Communication and Computer Systems, National Technical University of Athens, Greece
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Open-Access License: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Address correspondence to this author at the Oncology Group, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou, GR-157 80 Zografos, Greece; Tel: + 30 210 772 2288; Fax: + 30 210 772 3557; E-mail: dimdio@esd.ece.ntua.gr