Intravoxel water diffusion heterogeneity imaging of human high-grade gliomas.

Intravoxel water diffusion heterogeneity imaging of human high-grade gliomas.
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DOI:
10.1002/nbm.1441
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发表时间:
2010-02
期刊:
影响因子:
2.9
通讯作者:
Chenevert, Thomas L.
Chenevert, Thomas L.
中科院分区:
医学3区
文献类型:
--
作者:
Kwee, Thomas C.;Galban, Craig J.;Tsien, Christina;Junck, Larry;Sundgren, Pia C.;Ivancevic, Marko K.;Johnson, Timothy D.;Meyer, Charles R.;Rehemtulla, Alnawaz;Ross, Brian D.;Chenevert, Thomas L.

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通过比较人脑高级别胶质瘤与正常白质和灰质标志物的异质性指数(α值),确定体素内水扩散不均匀成像在脑肿瘤定性和高级别胶质瘤评估中的潜在价值。20名高级别胶质瘤患者前瞻性地接受了使用多个b值的扩散加权磁共振成像。使用拉伸指数模型生成α图和分布扩散系数图。测量每例患者肿瘤和对侧解剖标志的α值和DDC值。使用配对t检验评估肿瘤组织和标志性组织的α值之间的差异。用皮尔逊相关系数评估肿瘤α与肿瘤DDC的相关性。肿瘤的平均α明显低于对侧额叶白质(P=0.0249)、基底节(P<0.0001)、皮质灰质(P<0.0001)和半卵圆中心(P=0.0497)。肿瘤α与肿瘤DDC呈强负相关(皮尔逊相关系数,−0.8493;P<0.0001)。人脑高级别胶质瘤的异质性指数α明显不同于正常脑结构,这可能为评估脑肿瘤提供一种新的方法。肿瘤α与肿瘤DDC之间的负相关关系有待进一步研究。
To determine the potential value of intravoxel water diffusion heterogeneity imaging for brain tumor characterization and evaluation of high-grade gliomas, by comparing an established heterogeneity indices (α value) measured in human high-grade gliomas to those of normal appearing white and grey matter landmarks. Twenty patients with high-grade gliomas prospectively underwent diffusion-weighted magnetic resonance imaging using multiple b-values. The stretched-exponential model was used to generate α and distributed diffusion coefficient (DDC) maps. The α values and DDCs of the tumor and contralateral anatomic landmarks were measured in each patient. Differences between α values of tumors and landmark tissues were assessed using paired t tests. Correlation between tumor α and tumor DDC was assessed using Pearson’s correlation coefficient. Mean α of tumors was significantly lower than that of contralateral frontal white matter (P = 0.0249), basal ganglia (P < 0.0001), cortical grey matter (P < 0.0001), and centrum semiovale (P = 0.0497). Correlation between tumor α and tumor DDC was strongly negative (Pearson correlation coefficient, −0.8493; P < 0.0001). The heterogeneity index α of human high-grade gliomas is significantly different from those of normal brain structures, which potentially offers a new method for evaluating brain tumors. The observed negative correlation between tumor α and tumor DDC requires further investigation.
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