Applying a 4D multiscale in vivo tumor growth model to the exploration of radiotherapy scheduling: The effects of weekend treatment gaps and p53 gene status on the response of fast growing solid tumors

Dionysiou, DD; Stamatakos, GS

dc.contributor.author	Dionysiou, DD	en
dc.contributor.author	Stamatakos, GS	en
dc.date.accessioned	2014-03-01T01:55:21Z
dc.date.available	2014-03-01T01:55:21Z
dc.date.issued	2006	en
dc.identifier.issn	11769351	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27697
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33746780668&partnerID=40&md5=5327ea6fba7d038a31c6ed0ff33b73f9	en
dc.subject	CHART	en
dc.subject	Fractionation	en
dc.subject	Glioblastoma	en
dc.subject	HART	en
dc.subject	p53	en
dc.subject	Radiotherapy	en
dc.subject	Simulation	en
dc.subject.other	protein p53	en
dc.subject.other	article	en
dc.subject.other	glioblastoma	en
dc.subject.other	in vivo study	en
dc.subject.other	lung non small cell cancer	en
dc.subject.other	medical research	en
dc.subject.other	radiation dose fractionation	en
dc.subject.other	simulation	en
dc.subject.other	tumor growth	en
dc.title	Applying a 4D multiscale in vivo tumor growth model to the exploration of radiotherapy scheduling: The effects of weekend treatment gaps and p53 gene status on the response of fast growing solid tumors	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	The present paper aims at demonstrating clinically oriented applications of the multiscale four dimensional in vivo tumor growth simulation model previously developed by our research group. To this end the effect of weekend radiotherapy treatment gaps and p53 gene status on two virtual glioblastoma tumors differing only in p53 gene status is investigated in silico. Tumor response predictions concerning two rather extreme dose fractionation schedules (daily dose of 4.5 Gy administered in 3 equal fractions) namely HART (Hyperfractionated Accelerated Radiotherapy weekend less) 54 Gy and CHART (Continuous HART) 54 Gy are presented and compared. The model predictions suggest that, for the same p53 status, HART 54 Gy and CHART 54 Gy have almost the same long term effects on locoregional tumor control. However, no data have been located in the literature concerning a comparison of HART and CHART radiotherapy schedules for glioblastoma. As non small cell lung carcinoma (NSCLC) may also be a fast growing and radiosensitive tumor, a comparison of the model predictions with the outcome of clinical studies concerning the response of NSCLC to HART 54 Gy and CHART 54 Gy is made. The model predictions are in accordance with corresponding clinical observations, thus strengthening the potential of the model.	en
heal.journalName	Cancer Informatics	en
dc.identifier.volume	2	en
dc.identifier.spage	113	en
dc.identifier.epage	121	en