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用于肿瘤切除的多模态解剖、功能和代谢脑成像。

Multimodal anatomic, functional, and metabolic brain imaging for tumor resection.

作者信息

Sabbah P, Foehrenbach H, Dutertre G, Nioche C, DeDreuille O, Bellegou N, Mangin J F, Leveque C, Faillot T, Gaillard J F, Desgeorges M, Cordoliani Y S

机构信息

Radiology, Hôpital du Val de Grâce, 74 Bd Port Royal, 75230 Paris, France.

出版信息

Clin Imaging. 2002 Jan-Feb;26(1):6-12. doi: 10.1016/s0899-7071(01)00313-8.

DOI:10.1016/s0899-7071(01)00313-8
PMID:11814745
Abstract

OBJECTIVE

Improvement of neurosurgical techniques with a more detailed description of brain tumors and their functional environment.

METHODS

We performed: (1) anatomical magnetic resonance imaging (MRI) for reference, (2) functional sequences dedicated to the adjacent cortical structures (sensorimotor, visual, language paradigms), and (3) thallium 201 cerebral tomoscintigraphy to visualize active tumor invasion. Data were transferred to a workstation for automatic registration.

RESULTS

All data were combined into one synthetic image showing the foci of high proliferative activity, which have to be completely resected, and the peritumoral functional structures, which have to be spared in order to minimize postoperative sequelae. This trimodal image is entered into a surgical neuronavigation computer for preoperative planning in order to outline tumoral target and functional risk areas. All this information is displayed in the operative microscope (Zeiss MKM) optically linked to MR images. This multimodality technique diminishes operative time by reducing electrocorticography and improves the operative short-term outcome.

CONCLUSION

Multimodal imaging is useful for optimization of neurosurgical tumor resection.

摘要

目的

通过更详细地描述脑肿瘤及其功能环境来改进神经外科技术。

方法

我们进行了:(1)用于参考的解剖磁共振成像(MRI),(2)针对相邻皮质结构(感觉运动、视觉、语言范式)的功能序列,以及(3)铊201脑断层闪烁显像以可视化活跃的肿瘤侵袭。数据被传输到工作站进行自动配准。

结果

所有数据被整合到一张合成图像中,显示出必须完全切除的高增殖活性病灶以及为使术后后遗症最小化而必须保留的瘤周功能结构。这张三模态图像被输入到手术神经导航计算机中进行术前规划,以勾勒肿瘤靶点和功能风险区域。所有这些信息都显示在与MR图像光学连接的手术显微镜(蔡司MKM)中。这种多模态技术通过减少皮质电图来缩短手术时间,并改善手术短期结果。

结论

多模态成像有助于优化神经外科肿瘤切除术。

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