A spatio-temporal simulation model of the response of solid tumours to radiotherapy in vivo: Parametric validation concerning oxygen enhancement ratio and cell cycle duration

Antipas, VP; Stamatakos, GS; Uzunoglu, NK; Dionysiou, DD; Dale, RG

dc.contributor.author	Antipas, VP	en
dc.contributor.author	Stamatakos, GS	en
dc.contributor.author	Uzunoglu, NK	en
dc.contributor.author	Dionysiou, DD	en
dc.contributor.author	Dale, RG	en
dc.date.accessioned	2014-03-01T01:19:48Z
dc.date.available	2014-03-01T01:19:48Z
dc.date.issued	2004	en
dc.identifier.issn	0031-9155	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15719
dc.subject	Cell Cycle	en
dc.subject	glioblastoma multiforme	en
dc.subject	Optimal Algorithm	en
dc.subject	Parametric Study	en
dc.subject	Simulation Methods	en
dc.subject	Simulation Model	en
dc.subject	Treatment Planning	en
dc.subject	Wild Type	en
dc.subject.classification	Engineering, Biomedical	en
dc.subject.classification	Radiology, Nuclear Medicine & Medical Imaging	en
dc.subject.other	Cells	en
dc.subject.other	Computer simulation	en
dc.subject.other	Conformations	en
dc.subject.other	Fractionation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Shrinkage	en
dc.subject.other	Tumors	en
dc.subject.other	Bio-simulation	en
dc.subject.other	Initial cell phase distribution	en
dc.subject.other	Neovascularization	en
dc.subject.other	Radiotherapy	en
dc.subject.other	oxygen	en
dc.subject.other	protein p53	en
dc.subject.other	algorithm	en
dc.subject.other	angiogenesis	en
dc.subject.other	article	en
dc.subject.other	cancer radiotherapy	en
dc.subject.other	cell cycle	en
dc.subject.other	controlled study	en
dc.subject.other	experience	en
dc.subject.other	experimental model	en
dc.subject.other	gene mutation	en
dc.subject.other	glioblastoma	en
dc.subject.other	growth inhibition	en
dc.subject.other	human	en
dc.subject.other	hypothesis	en
dc.subject.other	image analysis	en
dc.subject.other	in vivo study	en
dc.subject.other	medical literature	en
dc.subject.other	oxygen enhancement ratio	en
dc.subject.other	parametric test	en
dc.subject.other	prediction	en
dc.subject.other	priority journal	en
dc.subject.other	qualitative analysis	en
dc.subject.other	quantitative analysis	en
dc.subject.other	radiation dose fractionation	en
dc.subject.other	radiosensitivity	en
dc.subject.other	simulation	en
dc.subject.other	treatment outcome	en
dc.subject.other	treatment planning	en
dc.subject.other	tumor growth	en
dc.subject.other	tumor volume	en
dc.subject.other	wild type	en
dc.subject.other	Algorithms	en
dc.subject.other	Brain Neoplasms	en
dc.subject.other	Cell Cycle	en
dc.subject.other	Cell Division	en
dc.subject.other	Computer Simulation	en
dc.subject.other	Dose Fractionation	en
dc.subject.other	Dose-Response Relationship, Radiation	en
dc.subject.other	Genes, p53	en
dc.subject.other	Glioblastoma	en
dc.subject.other	Humans	en
dc.subject.other	Neoplasms	en
dc.subject.other	Neovascularization, Pathologic	en
dc.subject.other	Oxygen	en
dc.subject.other	Radiation Tolerance	en
dc.subject.other	Radiobiology	en
dc.subject.other	Radiotherapy Dosage	en
dc.subject.other	Radiotherapy Planning, Computer-Assisted	en
dc.subject.other	Radiotherapy, Conformal	en
dc.subject.other	Time Factors	en
dc.title	A spatio-temporal simulation model of the response of solid tumours to radiotherapy in vivo: Parametric validation concerning oxygen enhancement ratio and cell cycle duration	en
heal.type	journalArticle	en
heal.identifier.primary	10.1088/0031-9155/49/8/008	en
heal.identifier.secondary	http://dx.doi.org/10.1088/0031-9155/49/8/008	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	Advanced bio-simulation methods are expected to substantially improve radiotherapy treatment planning. To this end a novel spatio-temporal patient-specific simulation model of the in vivo response of malignant tumours to radiotherapy schemes has been recently developed by our group. This paper discusses recent improvements to the model: an optimized algorithm leading to conformal shrinkage of the tumour as a response to radiotherapy, the introduction of the oxygen enhancement ratio (OER), a realistic initial cell phase distribution and finally an advanced imaging-based algorithm simulating the neovascularization field. A parametric study of the influence of the cell cycle duration Tc, OER, OERβ for the beta LQ parameter on tumour growth, shrinkage and response to irradiation under two different fractionation schemes has been made. The model has been applied to two glioblastoma multiforme (GBM) cases, one with wild type (wt) and another one with mutated (mt) p53 gene. Furthermore, the model has been applied to a hypothetical GBM tumour with α and β values corresponding to those of generic radiosensitive tumours. According to the model predictions, a whole tumour with shorter Tc tends to repopulate faster, as is to be expected. Furthermore, a higher OER value for the dormant cells leads to a more radioresistant whole tumour. A small variation of the OERβ value does not seem to play a major role in the tumour response. Accelerated fractionation proved to be superior to the standard scheme for the whole range of the OER values considered. Finally, the tumour with mt p53 was shown to be more radioresistant compared to the tumour with wt p53. Although all simulation predictions agree at least qualitatively with the clinical experience and literature, a long-term clinical adaptation and quantitative validation procedure is in progress. © 2004 IOP Publishing Ltd.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	Physics in Medicine and Biology	en
dc.identifier.doi	10.1088/0031-9155/49/8/008	en
dc.identifier.isi	ISI:000221250800008	en
dc.identifier.volume	49	en
dc.identifier.issue	8	en
dc.identifier.spage	1485	en
dc.identifier.epage	1504	en