Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Rhinology. 2018 Dec 1;56(4):358-363. doi: 10.4193/Rhin.18.013.
Several authors highlighted the limitations of the Keros classification system in predicting intracranial entry risk. Recently, our group proposed a new classification system based on the angle formed between the lateral lamella of the cribriform plate (LLCP) and the continuation of an horizontal plane passing through the cribriform plate (Gera classification). The aim of this study was to analyze whether the risk of iatrogenic cerebrospinal fluid leak (CSF-L) was better predicted by Keros or Gera classification.
The pre-operative CT scans of 24 patients (CSF-L group) who suffered from iatrogenic CSF-L during endoscopic sinus surgery (ESS) were compared to those obtained from a group of 100 patients who underwent uneventful ESS (control group). The skull base measurements as well as the distribution of Keros and Gera classes in the 2 groups were analyzed.
No difference in the distribution of Keros classes or in the depth of the cribriform plate between CSF-L and control group were demonstrated. On the contrary, significant differences in the distribution of Gera classes and in the degree of the angle formed by the LLCP and the continuation of the horizontal plane passing through the cribriform plate were found. In particular, according to Gera classification system, 19 out of 24 patients in the CSF-L group were considered at risk for iatrogenic CSF-L.
Gera classification system might be more sensitive to anatomical variations associated with CSF-L than the Keros one, further suggesting the application of the former during the preoperative CT scan evaluation.
几位作者强调了 Keros 分类系统在预测颅内进入风险方面的局限性。最近,我们小组提出了一种新的分类系统,该系统基于筛板外侧板(LLCP)与穿过筛板的水平平面延续线之间形成的角度(Gera 分类)。本研究旨在分析 Keros 或 Gera 分类是否能更好地预测医源性脑脊液漏(CSF-L)的风险。
对 24 例内镜鼻窦手术(ESS)中发生医源性 CSF-L 的患者(CSF-L 组)的术前 CT 扫描与 100 例 ESS 无并发症患者(对照组)的术前 CT 扫描进行比较。分析两组的颅底测量值以及 Keros 和 Gera 分类的分布情况。
CSF-L 组和对照组的 Keros 分类分布或筛板深度无差异。相反,Gera 分类分布和 LLCP 与穿过筛板的水平平面延续线之间形成的角度程度存在显著差异。特别是,根据 Gera 分类系统,CSF-L 组的 24 例患者中有 19 例被认为存在医源性 CSF-L 的风险。
与 Keros 分类系统相比,Gera 分类系统可能对与 CSF-L 相关的解剖变异更敏感,进一步提示在术前 CT 扫描评估中应用前者。