PDF(Pubmed)
Abstract：
UNASSIGNED: Differentiating jugular foramen from hypoglossal canal in computed tomography (CT) scan is vital for correct diagnosis of posterior fossa pathologies; however, it has been shown that the ability for differentiating these skull base elements is limited. The purpose of this study was to produce a simple algorithm for differentiating the jugular foramen from the hypoglossal canal in axial CT scan on two levels (top level where bony carotid canal is evident and lower level where bony carotid canal is not evident).
UNASSIGNED: Data derived from axial CT scan of 250 patients (500 sides) were used for producing algorithm. At top level petro-occipital fissure utilized for recognizing occipital condyle in which hypoglossal canal is located; and, at lower level the distance between the posterior border of the anatomic element (jugular foramen or hypoglossal canal) and the tangent to the anterior bony part is used for producing algorithm.
UNASSIGNED: The mean age of patients was 38.1 ± 19 years. The petro-occipital fissure can be used in all patients for differentiating hypoglossal canal. At lower level the distance between the anterior tangent and the posterior border of the element was significantly lower for hypoglossal canal (P value < 0.001). The distance more than 3.5 mm with sensitivity 83.8% and specificity 97.1% differentiate jugular foramen from hypoglossal canal.
UNASSIGNED: Simple algorithms based on quantitative morphologic features of the jugular foramen and hypoglossal canal can be used with high sensitivity and specificity to distinguish these elements.
UNASSIGNED: Data derived from axial CT scan of 250 patients (500 sides) were used for producing algorithm. At top level petro-occipital fissure utilized for recognizing occipital condyle in which hypoglossal canal is located; and, at lower level the distance between the posterior border of the anatomic element (jugular foramen or hypoglossal canal) and the tangent to the anterior bony part is used for producing algorithm.
UNASSIGNED: The mean age of patients was 38.1 ± 19 years. The petro-occipital fissure can be used in all patients for differentiating hypoglossal canal. At lower level the distance between the anterior tangent and the posterior border of the element was significantly lower for hypoglossal canal (P value < 0.001). The distance more than 3.5 mm with sensitivity 83.8% and specificity 97.1% differentiate jugular foramen from hypoglossal canal.
UNASSIGNED: Simple algorithms based on quantitative morphologic features of the jugular foramen and hypoglossal canal can be used with high sensitivity and specificity to distinguish these elements.
摘要：
■在计算机断层扫描（CT）扫描中区分颈静脉孔和舌下管对于正确诊断后颅窝病变至关重要；但是，已经表明，区分这些颅底元素的能力是有限的。这项研究的目的是产生一种简单的算法，用于在两个水平上的轴向CT扫描中区分颈静脉孔和舌下管（顶部是骨性颈动脉管明显的水平，而较低水平是骨性颈动脉管不明显的水平）。
■来自250名患者（500侧）的轴向CT扫描的数据用于产生算法。用于识别舌下管所在的枕骨髁的顶层石枕骨裂；和，在较低水平，解剖元件（颈静脉孔或舌下管）的后边界与前骨部分的切线之间的距离用于产生算法。
■患者的平均年龄为38.1±19岁。所有患者均可使用枕骨裂来区分舌下管。在较低的水平下，舌下管的元素的前切线和后边界之间的距离显着降低（P值<0.001）。超过3.5mm的距离区分颈静脉孔与舌下管的敏感性为83.8%，特异性为97.1%。
■基于颈静脉孔和舌下管的定量形态学特征的简单算法可以以高灵敏度和特异性来区分这些元素。
■来自250名患者（500侧）的轴向CT扫描的数据用于产生算法。用于识别舌下管所在的枕骨髁的顶层石枕骨裂；和，在较低水平，解剖元件（颈静脉孔或舌下管）的后边界与前骨部分的切线之间的距离用于产生算法。
■患者的平均年龄为38.1±19岁。所有患者均可使用枕骨裂来区分舌下管。在较低的水平下，舌下管的元素的前切线和后边界之间的距离显着降低（P值<0.001）。超过3.5mm的距离区分颈静脉孔与舌下管的敏感性为83.8%，特异性为97.1%。
■基于颈静脉孔和舌下管的定量形态学特征的简单算法可以以高灵敏度和特异性来区分这些元素。
