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

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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 http://hdl.handle.net/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


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