文献类型： 会议论文
第一作者： Alessandro Borri
作者： Alessandro Borri 1 ; Massimiliano d'Angelo 1 ; Laura D'Orsi 1 ; Marcello Pompa 1 ; Simona Panunzi 1 ; Andrea De Gaetano 1 ;
作者机构： 1.CNR-IASI Biomathematics Laboratory, National Research Council of Italy
关键词： Tumour modeling;Dynamical systems;Numerical simulation;Stochastic models
会议名称：
主办单位：
页码： 79-84
摘要： Glioblastoma, the most aggressive form of primary brain tumor, presents significant challenges in clinical management and research due to its invasive nature and resistance to standard therapies. Mathematical modeling offers a promising avenue to understand its complex dynamics and develop innovative treatment strategies. Building upon previous research, this paper reviews and adapts some existing mathematical formulations to the modeling study of glioblastoma infiltration and growth, utilizing the Partial Differential Equation (PDE) formalism to describe the time-varying and space-dependent cancer cell density. Experimental data from the literature are nicely reproduced and can be better interpreted based on the model behavior. Simulations highlight that the proposed framework is promising for further investigations.
分类号： tp391.9-53`r1
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