磁共振波谱成像显示胶质瘤浸润区。

Central European Neurosurgery Pub Date : 2011-05-01 Epub Date: 2010-07-15 DOI:10.1055/s-0030-1253410
A Stadlbauer, M Buchfelder, M T Doelken, T Hammen, O Ganslandt
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引用次数: 31

摘要

背景与目的:在常规的磁共振成像中,通常难以描绘胶质瘤的异质性结构。质子磁共振波谱成像(H-MRSI)是一种研究脑病变代谢变化空间分布的无创工具。本研究的目的是评估基于(1)H-MRSI测量的代谢变化的分割来描绘胶质瘤的改进。材料和方法:使用标准(1)H-MRSI序列对20例胶质瘤(WHO II级和III级)患者进行检查。根据正常脑Cho/NAA值的高斯分布假设,计算并分割胆碱(Cho)、n -乙酰-天冬氨酸(NAA)和Cho/NAA比值的代谢图谱。将T2w MR图像上的高强度区域与Cho/NAA图上的分节肿瘤区域进行比较。在MRSI/T2w不同区域进行立体定向活检。结果:在所有患者中,分节段的MRSI肿瘤区域比T2w高信号区域平均大20%(范围6-34%)。在9例患者中,MRSI/T2w差异区活检显示肿瘤浸润范围为4-17%(平均9%),在仅MRSI检测到的区域。讨论和结论:与常规临床方法相比,我们的自动分割病变相关代谢变化的方法显著改善了胶质瘤的描绘。我们证明,与临床常规成像策略相比,这种方法可以改善肿瘤边界的描绘。因此,分节肿瘤的代谢图像可能有助于制定治疗计划。
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Magnetic resonance spectroscopic imaging for visualization of the infiltration zone of glioma.

Background and purpose: In conventional MR imaging, it is often difficult to delineate the heterogeneous structure of gliomas. Proton magnetic resonance spectroscopic imaging ((1)H-MRSI) is a noninvasive tool for investigating the spatial distribution of metabolic changes in brain lesions. The aim of this study was to assess the improvements in delineation of gliomas based on segmentation of metabolic changes measured with (1)H-MRSI.

Material and methods: Twenty patients with gliomas (WHO grade II and III) were examined using a standard (1)H-MRSI sequence. Metabolic maps for choline (Cho), N-acetyl-aspartate (NAA) and Cho/NAA ratios were calculated and segmented based on the assumption of a Gaussian distribution of the Cho/NAA values for normal brain. Areas of hyperintensity on T2-weighted (T2w) MR images were compared with the areas of the segmented tumor on Cho/NAA maps. Stereotactic biopsies were obtained from the MRSI/T2w difference areas.

Results: In all patients, the segmented MRSI tumor areas were greater than the T2w hyperintense areas, on average, by 20% (range 6-34%). In nine patients, biopsy sampling from the MRSI/T2w difference areas showed tumor infiltration ranging from 4-17% (mean 9%) tumor cells, in the areas detected only by MRSI.

Discussion and conclusion: Our method for automated segmentation of the lesion-related metabolic changes achieved significantly improved delineation for gliomas compared to routine clinical methods. We demonstrate that this method can improve delineation of tumor borders compared to routine imaging strategies in clinics. Metabolic images of the segmented tumor may thus be helpful for therapeutic planning.

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Central European Neurosurgery
Central European Neurosurgery CLINICAL NEUROLOGY-NEUROSCIENCES
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