Shandong Medical Imaging Research Institute, Shandong University, Jinan 250021, China.
Clin Radiol. 2012 Nov;67(11):1078-82. doi: 10.1016/j.crad.2012.03.014. Epub 2012 May 16.
To investigate the usefulness of three-dimensional (3D) fast imaging employing steady state precession (FIESTA) magnetic resonance imaging (MRI) at 3 T in evaluating the intraparotid components of the facial nerve and parotid ducts, and to compare the MRI images with surgical findings.
Thirty-one cases of benign parotid tumours were studied with conventional and 3D FIESTA MRI sequences at 3T using a head coil. The most clinically useful 3D FIESTA images were acquired at parameters of 4.9 ms repetition time (TR); 1.5 effective echo time (TEeff); a flip of 55°, a field of view of 18 to 20 cm, a matrix of 512 × 320, an axial plane, no gaps, and a section thickness of 1 mm. Post-processed multiplanar images were obtained with an Advantage Windows (AW sdc 4.3) workstation. Parotid ducts, facial nerves, and tumours were identified on these images. The relationship of the tumours to the facial nerves and parotid ducts was confirmed at surgery.
The facial nerves appeared as linear structures of low intensity. The main trunk of the facial nerve was identified bilaterally in 93.5% of the 3D-FIESTA sequence images. Parotid ducts appeared as structures of high intensity on multiplanar 3D-FIESTA images (100%). The relationships of the tumours with the cervicofacial and temporofacial divisions of the facial nerve were correctly diagnosed in 26 of 31 cases (83.9%) using 3D-FIESTA sequence images.
3D-FIESTA MRI at 3 T depicted the main trunk, cervicofacial and temporofacial divisions of the facial nerve, and the main parotid duct. It is useful for preoperative evaluation of parotid gland tumours.
探讨 3T 下三维稳态进动快速成像(FIESTA)磁共振成像(MRI)在评估腮腺内面神经和腮腺管的作用,将 MRI 图像与手术结果进行比较。
对 31 例良性腮腺肿瘤患者使用头部线圈进行常规和 3D FIESTA MRI 序列检查。采用 4.9ms 重复时间(TR)、1.5 有效回波时间(TEeff)、翻转角 55°、视野 18-20cm、矩阵 512×320、轴位、无间隙、层厚 1mm 的参数采集最有临床应用价值的 3D FIESTA 图像。利用 Advantage Windows(AW sdc 4.3)工作站获得后处理多平面图像。在这些图像上识别腮腺管、面神经和肿瘤。在手术中确认肿瘤与面神经和腮腺管的关系。
面神经呈低信号的线状结构。3D-FIESTA 序列图像双侧面神经总干识别率为 93.5%。多平面 3D-FIESTA 图像上腮腺管呈高信号结构(100%)。使用 3D-FIESTA 序列图像正确诊断了 31 例中的 26 例(83.9%)肿瘤与面神经颈支和面颞支的关系。
3T 下 3D-FIESTA MRI 可显示面神经总干、颈支和面颞支以及主要腮腺管,对腮腺肿瘤的术前评估有帮助。