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Rhinology ; 56(4): 358-363, 2018 12 01.
Article in English | MEDLINE | ID: mdl-29785412

ABSTRACT

BACKGROUND: 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. METHODOLOGY: 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. RESULTS: 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. CONCLUSIONS: 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.


Subject(s)
Cerebrospinal Fluid Leak/etiology , Ethmoid Bone/injuries , Natural Orifice Endoscopic Surgery/adverse effects , Paranasal Sinus Diseases/surgery , Skull Base/injuries , Adult , Aged , Cerebrospinal Fluid Leak/diagnostic imaging , Ethmoid Bone/diagnostic imaging , Female , Humans , Iatrogenic Disease , Imaging, Three-Dimensional , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Risk Factors , Skull Base/diagnostic imaging , Tomography, X-Ray Computed
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