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使用扩散张量纤维束成像识别三叉神经鞘瘤周围的颅神经:技术说明及3例报告

Identification of cranial nerves around trigeminal schwannomas using diffusion tensor tractography: a technical note and report of 3 cases.

作者信息

Wei Peng-Hu, Qi Zhi-Gang, Chen Ge, Li Ming-Chu, Liang Jian-Tao, Guo Hong-Chuan, Bao Yu-Hai, Hao Qiang

机构信息

Department of Neurosurgery, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China.

Department of Radiology, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China.

出版信息

Acta Neurochir (Wien). 2016 Mar;158(3):429-35. doi: 10.1007/s00701-015-2680-5. Epub 2016 Jan 6.

DOI:10.1007/s00701-015-2680-5
PMID:26733128
Abstract

BACKGROUND

There are no large series studies identifying the locations of cranial nerves (CNs) around trigeminal schwannomas (TSs); however, surgically induced cranial neuropathies are commonly observed after surgeries to remove TSs. In this study, we preoperatively identified the location of CNs near TSs using diffusion tensor tractography (DTT).

METHODS

An observational study of the DTT results and intraoperative findings was performed. We preoperatively completed tractography from images of patients with TSs who received surgical therapy. The result was later validated during tumorectomy.

RESULTS

A total of three consecutive patients were involved in this study. The locations of CNs V-VIII in relation to the tumor was clearly revealed in all cases, except for CN VI in case 3.The predicted fiber tracts were in agreement with intraoperative observations.

CONCLUSIONS

In this study, preoperative DTT accurately predicted the location of the majority of the nerves of interest. This technique can be applied by surgeons to preoperatively visualize nerve arrangements.

摘要

背景

目前尚无大型系列研究确定三叉神经鞘瘤(TSs)周围颅神经(CNs)的位置;然而,在切除TSs的手术后,手术引起的颅神经病变很常见。在本研究中,我们使用弥散张量纤维束成像(DTT)术前确定了TSs附近CNs的位置。

方法

对DTT结果和术中发现进行了观察性研究。我们术前从接受手术治疗的TSs患者的图像中完成了纤维束成像。结果随后在肿瘤切除术中得到验证。

结果

本研究共纳入连续3例患者。除病例3中的CN VI外,所有病例中CNs V - VIII与肿瘤的位置关系均清晰显示。预测的纤维束与术中观察结果一致。

结论

在本研究中,术前DTT准确预测了大多数感兴趣神经的位置。该技术可供外科医生术前可视化神经排列。

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