Department of Neurosurgery, Universidade Federal de São Paulo, Sao Paulo, Brazil.
Department of Neurosurgery, Universidade Federal de São Paulo, Sao Paulo, Brazil.
World Neurosurg. 2018 Feb;110:e864-e872. doi: 10.1016/j.wneu.2017.11.123. Epub 2017 Nov 28.
BACKGROUND: Preoperative recognition of the anatomic individualities of each patient can help to achieve more precise and less invasive approaches. It also may help to anticipate potential complications and intraoperative difficulties. Here we describe the use, accuracy, and precision of a free tool for planning microsurgical approaches using 3-dimensional (3D) reconstructions from magnetic resonance imaging (MRI). METHODS: We used the 3D volume rendering tool of a free open-source software program for 3D reconstruction of images of surgical sites obtained by MRI volumetric acquisition. We recorded anatomic reference points, such as the sulcus and gyrus, and vascularization patterns for intraoperative localization of lesions. Lesion locations were confirmed during surgery by intraoperative ultrasound and/or electrocorticography and later by postoperative MRI. RESULTS: Between August 2015 and September 2016, a total of 23 surgeries were performed using this technique for 9 low-grade gliomas, 7 high-grade gliomas, 4 cortical dysplasias, and 3 arteriovenous malformations. The technique helped delineate lesions with an overall accuracy of 2.6 ± 1.0 mm. 3D reconstructions were successfully performed in all patients, and images showed sulcus, gyrus, and venous patterns corresponding to the intraoperative images. All lesion areas were confirmed both intraoperatively and at the postoperative evaluation. CONCLUSIONS: With the technique described herein, it was possible to successfully perform 3D reconstruction of the cortical surface. This reconstruction tool may serve as an adjunct to neuronavigation systems or may be used alone when such a system is unavailable.
背景:术前识别每位患者的解剖个体差异有助于实现更精确和微创的方法。它还有助于预测潜在的并发症和术中困难。在这里,我们描述了使用磁共振成像(MRI)的三维(3D)重建来规划显微手术入路的免费工具的使用、准确性和精度。
方法:我们使用免费开源软件程序的 3D 容积渲染工具,对 MRI 容积采集获得的手术部位图像进行 3D 重建。我们记录解剖参考点,如脑沟和脑回,以及血管化模式,以用于术中定位病变。术中通过术中超声和/或皮质电图确认病变位置,并在术后通过 MRI 确认。
结果:2015 年 8 月至 2016 年 9 月,共对 9 例低级别胶质瘤、7 例高级别胶质瘤、4 例皮质发育不良和 3 例动静脉畸形使用该技术进行了 23 例手术。该技术有助于勾画病变,总体准确性为 2.6±1.0 毫米。所有患者均成功进行了 3D 重建,图像显示与术中图像相对应的脑沟、脑回和静脉模式。所有病变区域均在术中及术后评估中得到确认。
结论:使用本文描述的技术,可以成功地对皮质表面进行 3D 重建。该重建工具可以作为神经导航系统的辅助工具,也可以在没有此类系统时单独使用。
World Neurosurg. 2017-11-28
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