A patient-specific in vivo tumor and normal tissue model for prediction of the response to radiotherapy: A computer simulation approach

Antipas, VP; Stamatakos, GS; Uzunoglu, NK

dc.contributor.author	Antipas, VP	en
dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Uzunoglu, NK	en
dc.date.accessioned	2014-03-01T01:25:46Z
dc.date.available	2014-03-01T01:25:46Z
dc.date.issued	2007	en
dc.identifier.issn	0026-1270	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17752
dc.subject	Glioblastoma multiforme	en
dc.subject	In silico oncology	en
dc.subject	Integrative cancer biology	en
dc.subject	Radiobiology	en
dc.subject	Simulation models	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Health Care Sciences & Services	en
dc.subject.classification	Medical Informatics	en
dc.subject.other	article	en
dc.subject.other	cancer research	en
dc.subject.other	cell cycle	en
dc.subject.other	cell damage	en
dc.subject.other	cell interaction	en
dc.subject.other	cell kinetics	en
dc.subject.other	computer	en
dc.subject.other	computer aided design	en
dc.subject.other	computer simulation	en
dc.subject.other	fractionation	en
dc.subject.other	glia cell	en
dc.subject.other	glioblastoma	en
dc.subject.other	irradiation	en
dc.subject.other	molecular imaging	en
dc.subject.other	nervous tissue	en
dc.subject.other	nuclear magnetic resonance imaging	en
dc.subject.other	prediction	en
dc.subject.other	priority journal	en
dc.subject.other	simulation	en
dc.subject.other	tumor model	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer Simulation	en
dc.subject.other	Connective Tissue	en
dc.subject.other	Glioblastoma	en
dc.subject.other	Greece	en
dc.subject.other	Humans	en
dc.title	A patient-specific in vivo tumor and normal tissue model for prediction of the response to radiotherapy: A computer simulation approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1160/ME0312	en
heal.identifier.secondary	http://dx.doi.org/10.1160/ME0312	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Objectives: Integration of multiscale experimental cancer biology through the development of computer simulation models seems to be a necessary step towards the better undetstanding of cancer and patient-individualized treatment optimization. The integration of a four-dimensional patient-specific model of in vivo tumor response to radiotherapy developed by our group with a model of slowly responding normal tissue based on W. Duechting's approach is presented in this paper. The case of glioblastoma multiforme and its surrounding neural tissue is addressed as a modeling paradigm. Methods: A cubic discretizing mesh is superimposed upon the anatomic region of interest as is reconstructed from pertinent imaging (e.g. MRI) data. On each geometrical cell of the mesh the most crucial biological ""laws"" e.g. metabolism, cell cycling, tumor geometry changes, cell kill following irradiation etc. are applied. Slowly responding normal neural tissue is modeled by a functional compartment containing indivisible cells and a divisible compartment containing glial cells. Results: The model code has been executed for a simulated period normally covering the radiotherapy course duration and extending a few days after its completion. The following schemes have been simulated: standard fractionation, hyperfractionation, accelerated fractionation, accelerated hyperfractionation and hypofractionation. The predictions are in agreement with the outcome of the RTOG 83-02 phase l/ll trial, the retrospective study conducted by Sugawara et al. and the theoretical predictions of Duechting et al. Conclusions: The presented model, although oversimplified, may serve as a basis for a refined simulation of the biological mechanisms involved in tumor and normal tissue response to radiotherapy. © 2007 Schattauer GmbH.	en
heal.publisher	SCHATTAUER GMBH-VERLAG MEDIZIN NATURWISSENSCHAFTEN	en
heal.journalName	Methods of Information in Medicine	en
dc.identifier.doi	10.1160/ME0312	en
dc.identifier.isi	ISI:000246545300017	en
dc.identifier.volume	46	en
dc.identifier.issue	3	en
dc.identifier.spage	367	en
dc.identifier.epage	375	en