Biological Computer Modeling / Biological Computer Simulation
mohamood borzouei; modjtaba emadi-baygi; mohammad mardaani; hasan rabani
Volume 17, Issue 1 , May 2023, , Pages 51-60
Abstract
It is critical for developing treatment strategies to investigate and analyze the growth dynamics and changes of invasive tumors in response to various microenvironmental conditions. When a tumor reaches its maximum amount of non-vascular growth, its cells compete for more food and oxygen sources, triggering ...
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It is critical for developing treatment strategies to investigate and analyze the growth dynamics and changes of invasive tumors in response to various microenvironmental conditions. When a tumor reaches its maximum amount of non-vascular growth, its cells compete for more food and oxygen sources, triggering complex processes in its evolution. Understanding the distribution of oxygen in the tumor environment is critical for unraveling the complexities of cancer progression. Existing physical models for studying oxygen distribution in tumors are based on reaction-diffusion equations, which include factors such as the formation and distribution of the new vascular network. In this study, we presented a computational model to investigate the distribution of oxygen in a hypoxic tumor based on the formation of the vascular network, which has fewer limitations and computational complexity than many common methods and reduces the volume of calculations. When complete with sufficient clinical data, this model can lead to the development of efficient tools in the treatment strategy of some cancers.
