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颅底肿瘤的神经导航

Neuronavigation in skull base tumors.

作者信息

Kurtsoy A, Menku A, Tucer B, Oktem I S, Akdemir H

机构信息

Department of Neurosurgery, Erciyes University, Medical School, Kayseri, Turkey.

出版信息

Minim Invasive Neurosurg. 2005 Feb;48(1):7-12. doi: 10.1055/s-2004-830151.

Abstract

OBJECTIVE

Computer-assisted neuronavigation was used in 87 cases of skull base lesions (SBLs). Preoperative planning and intraoperative identification of anatomic landmarks is especially important in SBLs since it helps to avoid or minimize surgical morbidity and mortality. In this study, we assessed the accuracy and the clinical usefulness of a frameless system based on the optical digitizer in SBLs.

PATIENTS AND METHODS

Between April 2000 and March 2003, eighty-seven patients with SBLs were operated on in our department using cranial neuronavigation. A passive-marker-based neuronavigation system was used for intraoperative image guidance. There were 56 women and 31 men. The patient's ages ranged from 4 to 76 years (average: 45.7 year). The locations of the tumors reported in this series were as follows: frontobasal, 24 cases; sellar/parasellar, 32 cases; petroclival, 16 cases; tentorial/subtemporal, 15 cases.

RESULTS

The computer-calculated registration accuracy ranged between 0.3 and 1.7 mm (mean, 1.1 mm). Gross total removal of the SBLs was accomplished in 82 out of 87 patients as was confirmed on postoperative CT and MRI scans. The follow-up period ranged from 1 month to 48 months (average: 20.1 months). Overall mortality and severe morbidity (meningitis, permanent cranial nerve deficits, and cerebrospinal fluid fistulae) rates were 4.6 % and 33.3 %, respectively.

CONCLUSION

The image-guided surgery is a valuable aid for safe, helpful and complete removal of SBLs of the brain where accurate localization of the lesion is critical. Although our preliminary series is not large, interactive image guidance provides a constant display of surgical instrument position during surgery and its relationship with the SBLs components, surrounding normal brain, and vascular structures, providing valuable guidance to the surgeon during an operation. Our experience with the neuronavigation suggests that image guidance is helpful in this type of lesions, providing better anatomic orientation during skull base surgery, delineating tumor margins and their relation to critical neurovascular structures.

摘要

目的

对87例颅底病变(SBLs)患者采用计算机辅助神经导航技术。术前规划和术中识别解剖标志在颅底病变中尤为重要,因为这有助于避免或降低手术发病率和死亡率。在本研究中,我们评估了基于光学数字化仪的无框架系统在颅底病变中的准确性和临床实用性。

患者与方法

2000年4月至2003年3月期间,我科对87例颅底病变患者进行了颅骨神经导航手术。术中图像引导采用基于被动标记的神经导航系统。其中女性56例,男性31例。患者年龄4至76岁(平均45.7岁)。本系列报道的肿瘤位置如下:额底部24例;鞍区/鞍旁32例;岩斜区16例;小脑幕/颞下区15例。

结果

计算机计算的配准精度在0.3至1.7毫米之间(平均1.1毫米)。术后CT和MRI扫描证实,87例患者中有82例实现了颅底病变的全切。随访时间为1个月至48个月(平均20.1个月)。总体死亡率和严重发病率(脑膜炎、永久性颅神经缺损和脑脊液漏)分别为4.6%和33.3%。

结论

图像引导手术对于安全、有效和完整切除脑部颅底病变非常有帮助,因为病变的精确定位至关重要。虽然我们的初步系列病例数量不多,但交互式图像引导在手术过程中持续显示手术器械位置及其与颅底病变组成部分、周围正常脑组织和血管结构的关系,为手术医生提供了有价值的指导。我们在神经导航方面的经验表明,图像引导对这类病变有帮助,在颅底手术中提供更好的解剖定位,勾勒肿瘤边界及其与关键神经血管结构的关系。

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