Elaff Ihab
Computer Engineering, Faculty of Engineering and Natural Sciences, Uskudar University, Istanbul, Turkey.
Biochem Biophys Res Commun. 2018 Feb 19;496(4):1263-1268. doi: 10.1016/j.bbrc.2018.01.183. Epub 2018 Feb 1.
Modeling of brain tumor growth simulator can estimate life expectancy for individual patients, estimate future effect of brain damages toward human senses and attitude and help in evaluating the efficiency of applied treatments. Brain tumor growth can be calculated based on Spatio-Temporal mathematical models namely the isotropic reaction-diffusion model and the anisotropic reaction-diffusion model where the second model produces more realistic results. Tumor normally grows in White Matter (WM) five times faster than in Gray Matter (GM) which makes brain tissues modeled as inhomogeneous-anisotropic material to assign different parameters to each tissue. In this research a comparative study between several tumor growth models has been achieved to clarify the effect of different algorithms on modeling tumor grow.
脑肿瘤生长模拟器的建模可以估计个体患者的预期寿命，估计脑损伤对人类感官和态度的未来影响，并有助于评估所应用治疗方法的效率。脑肿瘤的生长可以基于时空数学模型进行计算，即各向同性反应扩散模型和各向异性反应扩散模型，其中第二种模型产生更现实的结果。肿瘤通常在白质（WM）中的生长速度比在灰质（GM）中快五倍，这使得脑组织被建模为非均匀各向异性材料，以便为每个组织分配不同的参数。在本研究中，对几种肿瘤生长模型进行了比较研究，以阐明不同算法对肿瘤生长建模的影响。
