Simulating chemotherapeutic schemes in the individualized treatment context: The paradigm of glioblastoma multiforme treated by temozolomide in vivo

Stamatakos, GS; Antipas, VP; Uzunoglu, NK

dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Antipas, VP	en
dc.contributor.author	Uzunoglu, NK	en
dc.date.accessioned	2014-03-01T01:25:09Z
dc.date.available	2014-03-01T01:25:09Z
dc.date.issued	2006	en
dc.identifier.issn	0010-4825	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17564
dc.subject	chemotherapy	en
dc.subject	cancer	en
dc.subject	tumor growth	en
dc.subject	simulation model	en
dc.subject	temozolomide	en
dc.subject	glioblastoma multiforme	en
dc.subject	chemotherapy optimization	en
dc.subject	in silico oncology	en
dc.subject.classification	Biology	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Biomedical	en
dc.subject.classification	Mathematical & Computational Biology	en
dc.subject.other	OPTIMIZING DRUG REGIMENS	en
dc.subject.other	CANCER-CHEMOTHERAPY	en
dc.subject.other	CELL-LINES	en
dc.subject.other	O-6-METHYLGUANINE-DNA METHYLTRANSFERASE	en
dc.subject.other	MATHEMATICAL METHODS	en
dc.subject.other	BRAIN METASTASES	en
dc.subject.other	PHARMACOKINETICS	en
dc.subject.other	MODEL	en
dc.subject.other	RESISTANCE	en
dc.subject.other	TUMORS	en
dc.title	Simulating chemotherapeutic schemes in the individualized treatment context: The paradigm of glioblastoma multiforme treated by temozolomide in vivo	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compbiomed.2005.06.002	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.compbiomed.2005.06.002	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	A novel patient individualized, spatiotemporal Monte Carlo simulation model of tumor response to chemotherapeutic schemes in vivo is presented. Treatment of glioblastoma multiforme by temozolomide is considered as a paradigm. The model is based on the patient's imaging, histopathologic and genetic data. A discretization mesh is superimposed upon the anatomical region of interest and within each geometrical cell of the mesh the most prominent biological "laws" (cell cycling, apoptosis, etc.) in conjunction with pharmacokinetics and pharmacodynamics information are applied. A good qualitative agreement of the model's predictions with clinical experience supports the applicability of the approach to chemotherapy optimization. (c) 2005 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	COMPUTERS IN BIOLOGY AND MEDICINE	en
dc.identifier.doi	10.1016/j.compbiomed.2005.06.002	en
dc.identifier.isi	ISI:000241133000003	en
dc.identifier.volume	36	en
dc.identifier.issue	11	en
dc.identifier.spage	1216	en
dc.identifier.epage	1234	en