• Surg Neurol Int · Jan 2014

    Predicting the presigmoid retrolabyrinthine space using a sigmoid sinus tomography classification: A cadaveric study.

    • José Orlando de Melo, João Klescoski, Nunes Cristian Ferrareze CF Department of Neurosurgery, Galeão Air Force Hospital, Rio de Janeiro, Brazil., Gustavo Augusto Porto Sereno Cabral, Mário Alberto Lapenta, and José Alberto Landeiro.
    • Department of Neurosurgery, Galeão Air Force Hospital, Rio de Janeiro, Brazil.
    • Surg Neurol Int. 2014 Jan 1; 5: 131.

    BackgroundThe presigmoid retrolabyrinthine space is characterized by a widely variable size. The main structure involved in this large variability is the sigmoid sinus. Few studies have attempted to establish a reliable classification of sigmoid sinus to predict the presigmoid retrolabyrinthine space. We used tomographic mapping of human cadaver temporal bones to classify the position of sigmoid sinus and performed a cadaveric study to assess the validity of a novel classification in predicting the presigmoid retrolabyrinthine space.MethodsTen human cadaver temporal bones were randomly selected and subjected to fine-cut computed tomography scanning to classify the position of sigmoid sinus using a reference line. The specimens were classified into medial and lateral groups and each specimen was then subjected to mastoidectomy. The groups were compared using quantitative and qualitative analysis.ResultsThe medial group showed a larger distance between the sigmoid sinus and the external auditory canal and a shallower lateral semicircular canal. In the lateral group, the mastoidectomy was more demanding, and the Trautmann's triangle was typically narrower and often "hidden" medially to the sigmoid sinus.ConclusionsThe tomographic classification proposed in this study predicts, in a cadaveric model, the presigmoid retrolabyrinthine space. It may help the surgeon select the best approach to reach the petroclival region and lead to safer neurological and otological surgeries.

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