Modeling tumor growth and irradiation response in vitro - A combination of high-performance computing and web-based technologies including VRML visualization

Stamatakos, GS; Zacharaki, EI; Makropoulou, MI; Mouravliansky, NA; Marsh, A; Nikita, KS; Uzunoglu, NK

dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Zacharaki, EI	en
dc.contributor.author	Makropoulou, MI	en
dc.contributor.author	Mouravliansky, NA	en
dc.contributor.author	Marsh, A	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Uzunoglu, NK	en
dc.date.accessioned	2014-03-01T01:16:46Z
dc.date.available	2014-03-01T01:16:46Z
dc.date.issued	2001	en
dc.identifier.issn	1089-7771	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14203
dc.subject	Fractionation	en
dc.subject	High-performance computing	en
dc.subject	Modeling	en
dc.subject	Radiation therapy	en
dc.subject	Simulation	en
dc.subject	Tumor growth	en
dc.subject	Visualizalion	en
dc.subject	World Wide Web	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Mathematical & Computational Biology	en
dc.subject.classification	Medical Informatics	en
dc.subject.other	Tumor growth	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer programming languages	en
dc.subject.other	Computer simulation	en
dc.subject.other	Irradiation	en
dc.subject.other	Medical computing	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Optimization	en
dc.subject.other	Tumors	en
dc.subject.other	Virtual reality	en
dc.subject.other	World Wide Web	en
dc.subject.other	Radiotherapy	en
dc.title	Modeling tumor growth and irradiation response in vitro - A combination of high-performance computing and web-based technologies including VRML visualization	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/4233.966103	en
heal.identifier.secondary	http://dx.doi.org/10.1109/4233.966103	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	A simplified three-dimensional Monte Carlo simulation model of in vitro tumor growth and response to fractionated radiotherapeutic schemes is presented in this paper. The paper aims at both the optimization of radiotherapy and the provision of insight into the biological mechanisms involved in tumor development. The basics of the modeling philosophy of Duechting have been adopted and substantially extended. The main processes taken into account by the model are the transitions between the cell cycle phases, the diffusion of oxygen and glucose, and the cell survival probabilities following irradiation. Specific algorithms satisfactorily describing tumor expansion and shrinkage have been applied, whereas a novel approach to the modeling of the tumor response to irradiation has been proposed and implemented. High-performance computing systems in conjunction with Web technologies have coped with the particularly high computer memory and processing demands. A visualization system based on the MATLAB software package and the virtual-reality modeling language has been employed. Its utilization has led to a spectacular representation of both the external surface and the internal structure of the developing tumor. The simulation model has been applied to the special case of small cell lung carcinoma in vitro irradiated according to both the standard and accelerated fractionation schemes. A good qualitative agreement with laboratory experience has been observed in all cases. Accordingly, the hypothesis that advanced simulation models for the in silico testing of tumor irradiation schemes could substantially enhance the radiotherapy optimization process is further strengthened. Currently, our group is investigating extensions of the presented algorithms so that efficient descriptions of the corresponding clinical (in vivo) cases are achieved.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Information Technology in Biomedicine	en
dc.identifier.doi	10.1109/4233.966103	en
dc.identifier.isi	ISI:000172386100003	en
dc.identifier.volume	5	en
dc.identifier.issue	4	en
dc.identifier.spage	279	en
dc.identifier.epage	289	en