{Reference Type}: Journal Article
{Title}: Predicting the presigmoid retrolabyrinthine space using a sigmoid sinus tomography classification: A cadaveric study.
{Author}: de Melo JO;Klescoski J;Nunes CF;Cabral GA;Lapenta MA;Landeiro JA;
{Journal}: Surg Neurol Int
{Volume}: 5
{Issue}: 0
{Year}: 2014
暂无{DOI}: 10.4103/2152-7806.139819
{Abstract}: <B>BACKGROUND: </B>The 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.<BR><B>METHODS: </B>Ten 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.<BR><B>RESULTS: </B>The 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.<BR><B>CONCLUSIONS: </B>The 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.