Jbabdi Saâd, Mandonnet Emmanuel, Duffau Hugues, Capelle Laurent, Swanson Kristin Rae, Pélégrini-Issac Mélanie, Guillevin Rémy, Benali Habib
U678 INSERM/UPMC, Paris, France.
Magn Reson Med. 2005 Sep;54(3):616-24. doi: 10.1002/mrm.20625.
A recent computational model of brain tumor growth, developed to better describe how gliomas invade through the adjacent brain parenchyma, is based on two major elements: cell proliferation and isotropic cell diffusion. On the basis of this model, glioma growth has been simulated in a virtual brain, provided by a 3D segmented MRI atlas. However, it is commonly accepted that glial cells preferentially migrate along the direction of fiber tracts. Therefore, in this paper, the model has been improved by including anisotropic extension of gliomas. The method is based on a cell diffusion tensor derived from water diffusion tensor (as given by MRI diffusion tensor imaging). Results of simulations have been compared with two clinical examples demonstrating typical growth patterns of low-grade gliomas centered around the insula. The shape and the kinetic evolution are better simulated with anisotropic rather than isotropic diffusion. The best fit is obtained when the anisotropy of the cell diffusion tensor is increased to greater anisotropy than the observed water diffusion tensor. The shape of the tumor is also influenced by the initial location of the tumor. Anisotropic brain tumor growth simulations provide a means to determine the initial location of a low-grade glioma as well as its cell diffusion tensor, both of which might reflect the biological characteristics of invasion.
最近开发的一种脑肿瘤生长计算模型，旨在更好地描述胶质瘤如何侵入邻近脑实质，该模型基于两个主要因素：细胞增殖和各向同性细胞扩散。基于此模型，已在由三维分割磁共振成像图谱提供的虚拟大脑中模拟了胶质瘤的生长。然而，人们普遍认为胶质细胞优先沿纤维束方向迁移。因此，在本文中，通过纳入胶质瘤的各向异性扩展对该模型进行了改进。该方法基于从水扩散张量（如磁共振扩散张量成像所给出的）导出的细胞扩散张量。已将模拟结果与两个临床实例进行比较，这两个实例展示了以岛叶为中心的低级别胶质瘤的典型生长模式。与各向同性扩散相比，各向异性扩散能更好地模拟肿瘤的形状和动态演变。当细胞扩散张量的各向异性增加到比观察到的水扩散张量更大的各向异性时，能获得最佳拟合。肿瘤的形状也受肿瘤初始位置的影响。各向异性脑肿瘤生长模拟提供了一种确定低级别胶质瘤初始位置及其细胞扩散张量的方法，这两者都可能反映侵袭的生物学特征。
