Stamatakos Georgios S, Antipas Vassilis P, Uzunoglu Nikolaos K
In Silico Oncology Group, Microwave and Fiber Optics Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou St., Zografos, GR-157 80, Greece.
Comput Biol Med. 2006 Nov;36(11):1216-34. doi: 10.1016/j.compbiomed.2005.06.002. Epub 2005 Oct 3.
A novel patient individualized, spatiotemporal Monte Carlo simulation model of tumor response to chemotherapeutic schemes in vivo is presented. Treatment of glioblastoma multiforme by temozolomide is considered as a paradigm. The model is based on the patient's imaging, histopathologic and genetic data. A discretization mesh is superimposed upon the anatomical region of interest and within each geometrical cell of the mesh the most prominent biological "laws" (cell cycling, apoptosis, etc.) in conjunction with pharmacokinetics and pharmacodynamics information are applied. A good qualitative agreement of the model's predictions with clinical experience supports the applicability of the approach to chemotherapy optimization.
