Division of Basic Medical Sciences, St George's University of London, London, England.
Magn Reson Med. 2009 Dec;62(6):1646-51. doi: 10.1002/mrm.22163.
Gliomas are the most common primary brain tumors and the majority are highly malignant, with one of the worst prognoses for patients. Gliomas are characterized by invasive growth into normal brain tissue that makes complete surgical resection and accurate radiotherapy planning extremely difficult. We have performed independent component analysis of magnetic resonance spectroscopy imaging data from human gliomas to segment brain tissue into tumor core, tumor infiltration, and normal brain, with confirmation by diffusion tensor imaging analysis. Our data are consistent with previous studies that compared anomalies in isotropic and anisotropic diffusion images to determine regions of potential glioma infiltration. We show that coefficients of independent components can be used to create colored images for easy visual identification of regions of infiltrative tumor growth.
神经胶质瘤是最常见的原发性脑肿瘤，大多数具有高度恶性，患者预后最差。神经胶质瘤的特征是浸润性生长到正常脑组织中，这使得完全手术切除和精确的放射治疗计划变得极其困难。我们对来自人类神经胶质瘤的磁共振波谱成像数据进行了独立成分分析，将脑组织分割为肿瘤核心、肿瘤浸润和正常脑，并通过弥散张量成像分析进行了验证。我们的数据与之前的研究一致，这些研究比较了各向同性和各向异性扩散图像中的异常，以确定潜在的神经胶质瘤浸润区域。我们表明，独立成分的系数可用于创建彩色图像，以便于直观识别浸润性肿瘤生长区域。
