PMID- 19458763
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20110714
LR  - 20211020
IS  - 1176-9351 (Electronic)
IS  - 1176-9351 (Linking)
VI  - 2
DP  - 2007 Feb 16
TI  - 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.
PG  - 113-21
AB  - 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.
FAU - Dionysiou, Dimitra D
AU  - Dionysiou DD
AD  - In Silico Oncology Group, Laboratory of Microwaves and Fiber Optics, Institute of 
      Communication and Computer Systems, School of Electrical and Computer 
      Engineering, National Technical University of Athens, GR-157 80 Zografos, Greece. 
      gestam@central.ntua.gr
FAU - Stamatakos, Georgios S
AU  - Stamatakos GS
LA  - eng
PT  - Journal Article
DEP - 20070216
PL  - United States
TA  - Cancer Inform
JT  - Cancer informatics
JID - 101258149
PMC - PMC2675500
OTO - NOTNLM
OT  - CHART
OT  - HART
OT  - fractionation
OT  - glioblastoma
OT  - p53
OT  - radiotherapy
OT  - simulation
EDAT- 2007/01/01 00:00
MHDA- 2007/01/01 00:01
PMCR- 2007/04/16
CRDT- 2009/05/22 09:00
PHST- 2009/05/22 09:00 [entrez]
PHST- 2007/01/01 00:00 [pubmed]
PHST- 2007/01/01 00:01 [medline]
PHST- 2007/04/16 00:00 [pmc-release]
AID - cin-02-113 [pii]
PST - epublish
SO  - Cancer Inform. 2007 Feb 16;2:113-21.