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Abstract: Glioblastoma multiforme is a malignant grade 4 brain tumor that is almost always fatal and is typically characterized by the excessive growth of necrotic areas within the tumor’s microenvironment. Therefore, the relationship between healthy tumor cells and spread of necrotic tumor cells from the Ivy Glioblastoma Atlas Project (IvyGAP) database was analyzed using ImageJ both linearly and within the fractal dimension to assess growth predictability. Both the linear regression (y = 6.99x + 490000 µm) and fractal dimension complexity value regression (y = -7.01x + 40.8 µm) were found to be significant (p < 0.5), demonstrating a future possibility of predicting tumor growth spread based on necrotic growth, possibly due to necrotic area being interrelated to tumor vasculature. If necrotic area growth can be mathematically characterized by healthy tumor cell area growth, glioblastoma multiforme disease stage development may be better predicted prior to tumor cell expansion, resulting in better means to prevent further proliferation of the disease.
Keywords: loneliness, social isolation, resilience, whole school, whole community, whole child, mindfulness, cognitive behavioral therapy, social support, community dogs, mental health
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