Swanson K R, Alvord E C, Murray J D
Department of Applied Mathematics, Box 352420, University of Washington, Seattle, Washington WA 98195, USA.
Br J Cancer. 2002 Jan 7;86(1):14-8. doi: 10.1038/sj.bjc.6600021.
Gliomas are brain tumours that differ from most other cancers by their diffuse invasion of the surrounding normal tissue and their notorious recurrence following all forms of therapy. We have developed a mathematical model to quantify the spatio-temporal growth and invasion of gliomas in three dimensions throughout a virtual human brain. The model quantifies the extent of tumorous invasion of individual gliomas in three-dimensions to a degree beyond the limits of present medical imaging, including even microscopy, and makes clear why current therapies based on existing imaging techniques are inadequate and cannot be otherwise without other methods for detecting tumour cells in the brain. The model's estimate of the extent of tumourous invasion beyond that defined by standard medical imaging can be useful in more accurately planning therapy regimes as well as predicting sites of potential recurrence without waiting for reemergence on follow-up imaging.
胶质瘤是一种脑肿瘤，与大多数其他癌症不同，它会弥漫性侵袭周围正常组织，并且在接受所有形式的治疗后都会复发，令人头疼。我们开发了一个数学模型，用于量化胶质瘤在虚拟人脑三维空间中的时空生长和侵袭情况。该模型能够在三维空间中量化单个胶质瘤的侵袭范围，其程度超出了当前医学成像（甚至包括显微镜检查）的极限，并且明确了为什么基于现有成像技术的当前治疗方法是不够的，而且在没有其他检测脑内肿瘤细胞的方法的情况下无法改善。该模型对超出标准医学成像定义范围的肿瘤侵袭程度的估计，有助于更准确地规划治疗方案以及预测潜在复发部位，而无需等待后续成像中复发情况的出现。
