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整合于影像引导手术中的质子磁共振波谱成像:与标准磁共振成像及肿瘤细胞密度的相关性

Proton magnetic resonance spectroscopic imaging integrated into image-guided surgery: correlation to standard magnetic resonance imaging and tumor cell density.

作者信息

Ganslandt Oliver, Stadlbauer Andreas, Fahlbusch Rudolf, Kamada Kyosuke, Buslei Rolf, Blumcke Ingmar, Moser Ewald, Nimsky Christopher

机构信息

Department of Neurosurgery, University of Erlangen-Nuremberg, Erlangen, Germany.

出版信息

Neurosurgery. 2005 Apr;56(2 Suppl):291-8; discussion 291-8. doi: 10.1227/01.neu.0000156782.14538.78.

Abstract

OBJECTIVE

In this study, we attempted to improve the delineation of the infiltration zone in gliomas using proton magnetic resonance spectroscopic imaging (1H MRSI). In conventional magnetic resonance imaging (MRI), the boundaries of gliomas sometimes are underestimated. 1H MRSI is a noninvasive tool that can be used to investigate the spatial distribution of metabolic changes in brain lesions. The purpose was to correlate tumor cell density from histopathological specimens with metabolic levels and the coregistered metabolic maps.

METHODS

We developed a method to integrate spectroscopic data depicted as metabolic maps of biochemically pathological tissue into frameless stereotaxy. In seven patients harboring gliomas, we performed 1H MRSI with high spatial resolution and evaluated the spectral data. An algorithm was developed for user-independent calculation of pathological voxels and for visualization as metabolic maps. These maps were integrated into a three-dimensional MRI data set used for frameless stereotaxy. Stereotactic biopsies were taken from three different areas in and around the tumor involving the maximum pathological change, the border zone, and an area from outside the spectroscopically suspicious area. These specimens were correlated to the exact voxel positions in the stereotactic image space and evaluated histopathologically.

RESULTS

In all cases, the implementation of the metabolic maps into frameless stereotaxy was successful, and stereotactic biopsies were acquired by use of the spectral data. A relation could be demonstrated between the metabolic changes and tumor cell density ranging from 60 to 100% in the maximum pathological area to 5 to 15% in the border zone. Interestingly, the tumor areas defined by the metabolic maps and histopathologically confirmed by biopsy exceeded the T2-weighted signal change in all cases, ranging from 6 to 32% in the examined volume.

CONCLUSION

Our preliminary data suggest that 1H MRSI may be useful in combination with frameless stereotaxy to define more exactly the tumor infiltration zone in glioma surgery compared with conventional anatomic MRI alone.

摘要

目的

在本研究中,我们试图利用质子磁共振波谱成像(1H MRSI)改善胶质瘤浸润区域的描绘。在传统磁共振成像(MRI)中,胶质瘤的边界有时会被低估。1H MRSI是一种非侵入性工具,可用于研究脑病变中代谢变化的空间分布。目的是将组织病理学标本中的肿瘤细胞密度与代谢水平及配准的代谢图谱相关联。

方法

我们开发了一种方法,将描绘为生化病理组织代谢图谱的波谱数据整合到无框架立体定向中。在7例患有胶质瘤的患者中,我们进行了高空间分辨率的1H MRSI并评估了波谱数据。开发了一种算法,用于独立于用户计算病理体素并将其可视化为代谢图谱。这些图谱被整合到用于无框架立体定向的三维MRI数据集中。立体定向活检取自肿瘤及其周围三个不同区域,包括最大病理变化区域、边界区域以及波谱可疑区域外的一个区域。这些标本与立体定向图像空间中的确切体素位置相关联,并进行组织病理学评估。

结果

在所有病例中,将代谢图谱整合到无框架立体定向中均获成功,并利用波谱数据进行了立体定向活检。在最大病理区域,代谢变化与肿瘤细胞密度之间的关系可得到证明,范围从60%至100%,而在边界区域为5%至15%。有趣的是,在所有病例中,由代谢图谱定义并经活检组织病理学证实的肿瘤区域均超过了T2加权信号变化,在所检查的体积中范围为6%至32%。

结论

我们的初步数据表明,与单独使用传统解剖MRI相比,1H MRSI与无框架立体定向相结合可能有助于在胶质瘤手术中更准确地界定肿瘤浸润区域。

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