DocumentCode :
1586248
Title :
Glioblastoma multiforme treated by the chemotherapeutic agent temozolomide in vivo: a 4D simulation model of the tumor response
Author :
Antipas, V.P. ; Stamatakos, G.S. ; Uzunoglu, N.K.
Author_Institution :
Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens
fYear :
2006
Firstpage :
6100
Lastpage :
6103
Abstract :
A novel four dimensional, patient specific simulation model of solid tumor response to chemotherapeutic treatment in vivo is presented. The special case of glioblastoma multiforme treated by temozolomide is addressed as a simulation paradigm. The model is based on the patient\´s imaging, histopathologic and genetic data. For a given drug administration schedule lying within acceptable toxicity boundaries, the concentration of the prodrug and its metabolites within the tumor is calculated as a function of time based on the drug pharmacokinetics. A discretization mesh is superimposed upon the anatomical region of interest and within each geometrical cell of the mesh the most prominent biological "laws" are applied. The biological cell fates are predicted based on the drug pharmacodynamics. The outcome of the simulation is a prediction of the spatiotemporal activity of the entire tumor and is virtual reality visualized. A good qualitative agreement of the model\´s predictions with clinical experience has strengthened the applicability of the approach. Long term clinical and quantitative adaptation and validation as well as modeling the normal tissue reactions are in progress. The proposed model primarily aims at providing a reliable platform for performing patient individualized in silico experiments as a means of chemotherapeutic treatment optimization
Keywords :
cancer; cellular biophysics; drugs; genetics; medical computing; mesh generation; physiological models; tumours; 4D simulation model; biological cell; chemotherapeutic agent temozolomide; chemotherapeutic treatment optimization; discretization mesh; drug administration schedule; drug pharmacodynamics; drug pharmacokinetics; genetic data; glioblastoma multiforme; histopathologic data; metabolite concentration; patient imaging data; prodrug concentration; solid tumor response; spatiotemporal activity; virtual reality; Biological cells; Biological system modeling; Cells (biology); Drugs; Genetics; In vivo; Medical treatment; Neoplasms; Predictive models; Solid modeling; cancer; chemotherapy; glioblastoma multiforme; in silico oncology; neovasculature; patient individualized optimization; simulation model; temozolomide; tumor growth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1615885
Filename :
1615885
Link To Document :
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