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MRI 检测阿尔茨海默病患者组织病理学改变:引入 T2-VBM 方法

MRI detection of tissue pathology beyond atrophy in Alzheimer's disease: introducing T2-VBM.

机构信息

Herchel Smith Building for Brain and Mind Sciences, Department of Clinical Neurosciences, University of Cambridge School of Clinical Medicine, Cambridge, UK.

出版信息

Neuroimage. 2011 Jun 15;56(4):1946-53. doi: 10.1016/j.neuroimage.2011.03.082. Epub 2011 Apr 5.

Abstract

Voxel-based morphometry (VBM) of T1-weighted magnetic resonance (MR) images has been widely used to identify regional atrophy in neurodegenerative conditions such as Alzheimer's disease (AD). In theory, however, T2-weighting should be more sensitive to tissue pathology, though until recently, volumetric T2-weighted images were unavailable. We tested the hypothesis that T2-VBM would be more sensitive to grey matter pathology in AD than T1-VBM using the recently-developed SPACE acquisition, which provides true-3D, high-resolution T2-weighted images. This was contrasted to conventional T1-weighted MPRAGE images acquired at the same session and resolution. All of the atrophic regions identified with T1-VBM were also identified with T2-VBM. Additional abnormalities were, however, identified with T2-VBM and the distribution of these bore a striking resemblance to the distribution of amyloid plaque deposition in AD, suggesting that T2-VBM detects signal changes due to histopathology over and above those attributable to atrophy. In keeping with this hypothesis, the relevant statistical tests demonstrated that the difference in sensitivity was caused by an apparent change in T2-weighted signal intensity that was not present in T1-weighted images. These results suggest that T2-VBM has the potential to advance VBM beyond atrophy detection to more expansive applications in tissue pathology mapping.

摘要

基于体素的形态测量学(VBM)对 T1 加权磁共振(MR)图像的应用已广泛用于识别神经退行性疾病(如阿尔茨海默病(AD))中的区域性萎缩。然而,从理论上讲,T2 加权应该对组织病理学更敏感,尽管直到最近,容积 T2 加权图像还不可用。我们使用最近开发的提供真正 3D、高分辨率 T2 加权图像的 SPACE 采集技术,测试了 T2-VBM 比 T1-VBM 更能检测 AD 中灰质病理学的假设。这与在同一会议和分辨率下获取的传统 T1 加权 MPRAGE 图像进行了对比。用 T1-VBM 识别的所有萎缩区域也都用 T2-VBM 识别出来了。然而,T2-VBM 还识别出了其他异常,这些异常与 AD 中淀粉样斑块沉积的分布非常相似,这表明 T2-VBM 检测到的信号变化不仅归因于萎缩,还归因于组织病理学。根据这一假设,相关的统计测试表明,敏感性的差异是由于 T2 加权信号强度的明显变化引起的,而在 T1 加权图像中不存在这种变化。这些结果表明,T2-VBM 有可能将 VBM 从检测萎缩推进到更广泛的组织病理学映射应用中。

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