Document Detail

A computer simulation of in vivo tumour growth and response to radiotherapy: new algorithms and parametric results.
MedLine Citation:
PMID:  15916755     Owner:  NLM     Status:  MEDLINE    
The aim of this paper is to present the newest algorithms and simulation results of a computer model of in vivo tumour growth and response to radiotherapy. The new algorithms are analytically presented. A set of parametric simulations has been performed with special emphasis on the influence of the genetic profile of a tumour on its radiosensitivity. The results of the simulation procedure are three-dimensionally visualized and critically surveyed. The long-term goal of this work is twofold: the development of a computational tool for getting insight into cancer biology and the development of a patient-specific decision support system.
Dimitra D Dionysiou; Georgios S Stamatakos; Nikolaos K Uzunoglu; Konstantina S Nikita
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computers in biology and medicine     Volume:  36     ISSN:  0010-4825     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2006 May 
Date Detail:
Created Date:  2006-04-17     Completed Date:  2006-11-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  448-64     Citation Subset:  IM    
School of Electrical and Computer Engineering, Division of Information Transmission Systems and Materials Technology, National Technical University of Athens, GR-157 80 Zografos, Greece.
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MeSH Terms
Cell Cycle
Computer Simulation
Imaging, Three-Dimensional
Models, Biological
Models, Theoretical
Monte Carlo Method
Neoplasms / pathology*,  radiotherapy*
Radiation-Sensitizing Agents / pharmacology
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted
Time Factors
Reg. No./Substance:
0/Radiation-Sensitizing Agents

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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