摘要
目的探讨MR增强扫描及曲面重建(CPR)在面神经炎诊断中的应用价值。方法对30例面神经炎患者行MR增强扫描。通过GE AW 4.5工作站观察患者颅内面神经受累情况,测量面神经及邻近颞叶组织的信号强度,计算面神经与同一层面邻近颞叶的信号强度比值(SIR)。通过Philips EBW工作站进行面神经的CPR重建,整体观察患者面神经的颅内走行及受累情况。结果 30例面神经炎患者中,患侧面神经膝状神经节、鼓室段、迷路段、内听道段及乳突段的SIR分别为1.59±0.28、1.16±0.16、1.38±0.20、1.30±0.19及0.96±0.14,健侧SIR分别为1.08±0.19、0.74±0.13、0.81±0.13、0.83±0.08及0.69±0.12,各受累部位患侧面神经SIR与健侧差异均有统计学意义(P均<0.001)。CPR图像可直观显示面神经受累部位及面神经的颅内走行情况。结论面神经MR增强扫描及CPR技术有助于清晰显示面神经炎患者颅内面神经走行及受累情况。
Objective To explore the application value of contrast-enhanced MRI and curved planar reformation (CPR) in diagnosis of facial neuritis. Methods Contrast-enhanced MRI scans were performed on 30 patients with facial neuritis. The involvement of intracranial facial nerve was observed, and the signal intensity of facial nerve and adjacent temporal lobe was measured with GE AW 4.5 workstation. While the signal intensity ratio (SIR) between facial nerve and adjacent temporal lobe was calculated. CPR of facial nerve was done with Philips EBW workstation, in order to observe the whole course and involvement of facial nerve. Results Among the 30 patients, SIR of affected geniculate ganglion, tympanic segment, labyrinthine segment, internal auditory meatus segment and mastoid segment was 1.59±0.28, 1.16±0.16, 1.38±0.20, 1.30±0.19 and 0.96±0.14, respectively. While SIR of the relevant segment in contralateral side was 1.08±0.19, 0.74±0.13, 0.81±0.13, 0.83±0.08 and 0.69±0.12, respectively. There were significant differences of SIR between the affected and the contralateral segments (all P〈0.001). CPR could display the involved location and facilitate visualizing the whole course of facial nerve clearly. Conclusion Contrast-enhanced MRI and CPR are helpful to facilitate visualizing the whole course of facial nerve and clearly reveal the involvement.
出处
《中国介入影像与治疗学》
CSCD
北大核心
2017年第12期752-756,共5页
Chinese Journal of Interventional Imaging and Therapy
基金
陕西省社发攻关计划项目(2014K12-09)
关键词
面神经疾病
磁共振成像
影像增强
图像处理
计算机辅助
Facial Nerve Diseases
Magnetic resonance imaging
Image enhancement
Image processing, computer-assisted