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使用乙状窦断层扫描分类预测乙状窦前迷路后间隙:一项尸体研究。

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

作者信息

de Melo José Orlando, Klescoski João, Nunes Cristian Ferrareze, Cabral Gustavo Augusto Porto Sereno, Lapenta Mário Alberto, Landeiro José Alberto

机构信息

Department of Neurosurgery, Galeão Air Force Hospital, Rio de Janeiro, Brazil.

Chairman of the Department of Neurosurgery, Galeão Air Force Hospital, Rio de Janeiro, Brazil.

出版信息

Surg Neurol Int. 2014 Aug 30;5:131. doi: 10.4103/2152-7806.139819. eCollection 2014.

Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

乙状窦前迷路后间隙的大小变化很大。造成这种巨大差异的主要结构是乙状窦。很少有研究试图建立一种可靠的乙状窦分类方法来预测乙状窦前迷路后间隙。我们利用人体尸体颞骨的断层扫描来对乙状窦的位置进行分类,并进行了一项尸体研究,以评估一种新分类方法在预测乙状窦前迷路后间隙方面的有效性。

方法

随机选取10具人体尸体颞骨,进行薄层计算机断层扫描,使用参考线对乙状窦的位置进行分类。将标本分为内侧组和外侧组,然后对每个标本进行乳突切除术。采用定量和定性分析对两组进行比较。

结果

内侧组乙状窦与外耳道之间的距离更大,外侧半规管更浅。在外侧组,乳突切除术要求更高,Trautmann三角通常更窄,且常常“隐藏”在乙状窦内侧。

结论

本研究提出的断层扫描分类方法在尸体模型中可预测乙状窦前迷路后间隙。它可能有助于外科医生选择到达岩斜区的最佳入路,并实现更安全的神经外科和耳科手术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfff/4168548/b1ffc48255b3/SNI-5-131-g001.jpg

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