A computer simulation of in vivo tumour growth and response to radiotherapy: new algorithms and parametric results.
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.
Dionysiou
Dimitra D
DD
School of Electrical and Computer Engineering, Division of Information Transmission Systems and Materials Technology, National Technical University of Athens, GR-157 80 Zografos, Greece. dimdio@esd.ece.ntua.gr
Stamatakos
Georgios S
GS
Uzunoglu
Nikolaos K
NK
Nikita
Konstantina S
KS
D000465:Algorithms; D000818:Animals; D002453:Cell Cycle; D003198:Computer Simulation; D006801:Humans; D021621:Imaging, Three-Dimensional; D008954:Models, Biological; D008962:Models, Theoretical; D009010:Monte Carlo Method; D009369:Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D011838:Radiation-Sensitizing Agents / Q000494:pharmacology; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted; D013997:Time Factors
D011838:Radiation-Sensitizing Agents