Swanson K R, Alvord E C, Murray J D
Department of Pathology, University of Washington, Seattle, USA.
Cell Prolif. 2000 Oct;33(5):317-29. doi: 10.1046/j.1365-2184.2000.00177.x.
We have extended a mathematical model of gliomas based on proliferation and diffusion rates to incorporate the effects of augmented cell motility in white matter as compared to grey matter. Using a detailed mapping of the white and grey matter in the brain developed for a MRI simulator, we have been able to simulate model tumours on an anatomically accurate brain domain. Our simulations show good agreement with clinically observed tumour geometries and suggest paths of submicroscopic tumour invasion not detectable on CT or MRI images. We expect this model to give insight into microscopic and submicroscopic invasion of the human brain by glioma cells. This method gives insight in microscopic and submicroscopic invasion of the human brain by glioma cells. Additionally, the model can be useful in defining expected pathways of invasion by glioma cells and thereby identify regions of the brain on which to focus treatments.
我们扩展了一个基于增殖和扩散速率的神经胶质瘤数学模型，以纳入与灰质相比白质中增强的细胞运动性的影响。利用为MRI模拟器开发的大脑中白质和灰质的详细图谱，我们能够在解剖学上精确的脑域上模拟模型肿瘤。我们的模拟结果与临床观察到的肿瘤几何形状显示出良好的一致性，并揭示了在CT或MRI图像上无法检测到的亚微观肿瘤侵袭路径。我们期望这个模型能够深入了解神经胶质瘤细胞对人脑的微观和亚微观侵袭。这种方法能够深入了解神经胶质瘤细胞对人脑的微观和亚微观侵袭。此外，该模型可用于定义神经胶质瘤细胞的预期侵袭途径，从而确定大脑中需要重点治疗的区域。
