Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation

May, CP; Kolokotroni, E; Stamatakos, GS; Buchler, P

dc.contributor.author	May, CP	en
dc.contributor.author	Kolokotroni, E	en
dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Buchler, P	en
dc.date.accessioned	2014-03-01T01:35:28Z
dc.date.available	2014-03-01T01:35:28Z
dc.date.issued	2011	en
dc.identifier.issn	0079-6107	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21063
dc.subject	Biological system modeling	en
dc.subject	Biomechanics	en
dc.subject	Finite element methods	en
dc.subject	In silico oncology	en
dc.subject	Multiscale cancer modeling	en
dc.subject	Pressure effects	en
dc.subject.classification	Biochemistry & Molecular Biology	en
dc.subject.classification	Biophysics	en
dc.subject.other	article	en
dc.subject.other	biological model	en
dc.subject.other	biomechanics	en
dc.subject.other	biophysics	en
dc.subject.other	finite element analysis	en
dc.subject.other	glioblastoma	en
dc.subject.other	human	en
dc.subject.other	mechanics	en
dc.subject.other	Monte Carlo method	en
dc.subject.other	nuclear magnetic resonance imaging	en
dc.subject.other	pathology	en
dc.subject.other	system analysis	en
dc.subject.other	treatment outcome	en
dc.subject.other	Biomechanics	en
dc.subject.other	Biophysical Processes	en
dc.subject.other	Finite Element Analysis	en
dc.subject.other	Glioblastoma	en
dc.subject.other	Humans	en
dc.subject.other	Magnetic Resonance Imaging	en
dc.subject.other	Mechanical Processes	en
dc.subject.other	Models, Biological	en
dc.subject.other	Monte Carlo Method	en
dc.subject.other	Systems Integration	en
dc.subject.other	Treatment Outcome	en
dc.title	Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.pbiomolbio.2011.06.007	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.pbiomolbio.2011.06.007	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Modeling of tumor growth has been performed according to various approaches addressing different biocomplexity levels and spatiotemporal scales. Mathematical treatments range from partial differential equation based diffusion models to rule-based cellular level simulators, aiming at both improving our quantitative understanding of the underlying biological processes and, in the mid- and long term, constructing reliable multi-scale predictive platforms to support patient-individualized treatment planning and optimization. The aim of this paper is to establish a multi-scale and multi-physics approach to tumor modeling taking into account both the cellular and the macroscopic mechanical level. Therefore, an already developed biomodel of clinical tumor growth and response to treatment is self-consistently coupled with a biomechanical model. Results are presented for the free growth case of the imageable component of an initially point-like glioblastoma multiforme tumor. The composite model leads to significant tumor shape corrections that are achieved through the utilization of environmental pressure information and the application of biomechanical principles. Using the ratio of smallest to largest moment of inertia of the tumor material to quantify the effect of our coupled approach, we have found a tumor shape correction of 20% by coupling biomechanics to the cellular simulator as compared to a cellular simulation without preferred growth directions. We conclude that the integration of the two models provides additional morphological insight into realistic tumor growth behavior. Therefore, it might be used for the development of an advanced oncosimulator focusing on tumor types for which morphology plays an important role in surgical and/or radio-therapeutic treatment planning. (C) 2011 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Progress in Biophysics and Molecular Biology	en
dc.identifier.doi	10.1016/j.pbiomolbio.2011.06.007	en
dc.identifier.isi	ISI:000296544000019	en
dc.identifier.volume	107	en
dc.identifier.issue	1	en
dc.identifier.spage	193	en
dc.identifier.epage	199	en