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脑胶质瘤:扩散峰度成像分析的微观结构差异。

Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.

机构信息

Institute of Neuroradiology and Department of Neurosurgery, Goethe University Frankfurt, Frankfurt am Main, Germany.

出版信息

Radiology. 2010 Mar;254(3):876-81. doi: 10.1148/radiol.09090819. Epub 2010 Jan 20.

DOI:10.1148/radiol.09090819
PMID:20089718
Abstract

PURPOSE

To characterize the non-Gaussian diffusion patterns of cerebral glioma microstructure with respect to the different glioma grades by using a new method called diffusional kurtosis (DK) imaging.

MATERIALS AND METHODS

In this study with institutional review board approval and patient consent, diffusional measures of mean kurtosis (MK), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were compared prospectively. Data were normalized to the contralateral white matter. A Mann-Whitney test was used to compare each histologic glioma subtype regarding the diffusion measurements. Receiver operating characteristic curves were used to test for the parameter with the best sensitivity and specificity for glioma grade discrimination.

RESULTS

In 34 patients with cerebral gliomas (five World Health Organization [WHO] grade II astrocytomas, 13 WHO grade III astrocytomas, and 16 WHO grade IV glioblastomas multiforme), significantly different diffusion patterns were found among the three glioma groups. MK values increased with higher glioma malignancy, whereas ADCs tended to decrease with higher malignancy; FA values did not differ significantly among tumor groups. Significant differences between astrocytoma grades WHO II and WHO III were demonstrated only by DK values. Area under the receiver operating characteristic curve was highest for normalized MK (0.972) during testing to discriminate between low- and high-grade gliomas.

CONCLUSION

This study demonstrates specific diffusion patterns for low- and high-grade gliomas, showing that DK imaging is able to depict microstructural changes within glioma tissue and is able to help differentiate among glioma grades. (c) RSNA, 2010.

摘要

目的

利用一种新的方法——各向异性分数(FA),对脑胶质瘤微观结构的非高斯扩散模式进行研究,以区分不同的胶质瘤等级。

材料与方法

本研究经机构审查委员会批准并获得患者同意,对扩散测量的平均峰度(MK)、各向异性分数(FA)和表观扩散系数(ADC)进行了前瞻性比较。数据与对侧白质进行了归一化。采用 Mann-Whitney 检验比较了每个组织学胶质瘤亚型的扩散测量值。使用受试者工作特征曲线来测试用于胶质瘤分级鉴别具有最佳敏感性和特异性的参数。

结果

在 34 名患有脑胶质瘤的患者(5 例世界卫生组织[WHO]二级星形细胞瘤,13 例 WHO 三级星形细胞瘤和 16 例 WHO 四级多形性胶质母细胞瘤)中,这 3 种胶质瘤组之间存在明显不同的扩散模式。MK 值随着胶质瘤恶性程度的增加而增加,而 ADC 值则随着恶性程度的增加而降低;FA 值在肿瘤组之间没有显著差异。只有通过 DK 值才能显示出 WHO 二级和 WHO 三级星形细胞瘤之间的差异。在区分低级别和高级别胶质瘤的测试中,归一化 MK 的受试者工作特征曲线下面积最高(0.972)。

结论

本研究证明了低级别和高级别胶质瘤的特定扩散模式,表明 DK 成像能够描绘胶质瘤组织内的微观结构变化,并有助于区分胶质瘤等级。(c)RSNA,2010 年。

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