Department of Neurosurgery, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.
Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1080, Vienna, Austria.
Acta Neurochir (Wien). 2019 Nov;161(11):2241-2251. doi: 10.1007/s00701-019-04015-y. Epub 2019 Aug 1.
Intraosseous growth is a unique feature of sphenoorbital meningiomas (SOM). Its close relation to neurovascular structures limits complete surgical resection and possibly contributes to the high recurrence rate.
To evaluate the growth behavior of intraosseous remnants and develop a protocol for precise intraoperative visualization of intraosseous SOM.
We included 31 patients operated for SOM from 2004 to 2017. The growth velocity of the intraosseous tumor component was volumetrically calculated in 20 cases. To improve accuracy of image guidance, we implemented a specialized bone surface-based registration algorithm. For intraoperative bone visualization, we included CT in multimodality continuous image guidance in 23 patients. The extent of resection (EOR) was compared with a standard MR-only navigation group (n = 8).
In 11/20 cases (55%), a progressive regrowth of the intraosseous SOM remnant was noted during a mean follow-up of 52 months (range 20-132 months). We observed a mean increase of 6.2 cm (range 0.2-23.7 cm) per patient and side during the follow-up period. Bone surface-based registration was significantly more accurate than skin surface-based registration (mean 0.7 ± 0.4 mm and 1.9 ± 0.7 mm, p < 0.001). The EOR of the intraosseous component was significantly higher using CT + MRI navigation compared with controls (96% vs. 81%, p = 0.044).
Quantitative assessment of the biological behavior of intraosseous remnants revealed a continuous slow growth rate independent of the soft tumor component of more than half of SOM. According to our data, application of a multimodal image guidance provided high accuracy and significantly increased the resection rate of the intraosseous component of SOM.
骨内生长是蝶眶脑膜瘤(SOM)的一个独特特征。它与神经血管结构的密切关系限制了完全的手术切除,可能也是导致高复发率的原因之一。
评估骨内残瘤的生长行为,并制定一种精确显示骨内 SOM 的术中可视化方案。
我们纳入了 2004 年至 2017 年间接受 SOM 手术的 31 名患者。在 20 例患者中,通过体积计算来评估骨内肿瘤成分的生长速度。为了提高图像引导的准确性,我们实现了一种专门的基于骨表面的配准算法。在 23 例患者中,我们将 CT 纳入多模态连续图像引导,以实现术中骨可视化。将切除程度(EOR)与标准的仅 MRI 导航组(n = 8)进行比较。
在 11/20 例(55%)患者中,在平均 52 个月(20-132 个月)的随访中,观察到骨内 SOM 残瘤有进行性增长。我们观察到每位患者和每侧的平均增长为 6.2cm(范围 0.2-23.7cm)。基于骨表面的配准明显比基于皮肤表面的配准更准确(平均 0.7 ± 0.4mm 和 1.9 ± 0.7mm,p < 0.001)。与对照组相比,CT + MRI 导航的骨内成分 EOR 明显更高(96% vs. 81%,p = 0.044)。
对骨内残瘤的生物学行为进行定量评估显示,其具有独立于软组织肿瘤成分的连续缓慢生长率,超过一半的 SOM 患者具有这种情况。根据我们的数据,应用多模态图像引导可提供高精度,并显著提高 SOM 的骨内成分的切除率。