翼管区病变的MSCT表现

牛娟琴;宦 怡;李康印

中国临床医学影像杂志 ›› 2010, Vol. 21 ›› Issue (2) : 99-102.

中国临床医学影像杂志 ›› 2010, Vol. 21 ›› Issue (2) : 99-102.
论著

翼管区病变的MSCT表现

  • 牛娟琴1,宦 怡2,李康印1
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Multislice spiral CT imaging study of the diseases involved pterygoid canal

  • NIU Juan-qin1, HUAN Yi2, LI Kang-yin1
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摘要

目的:探讨翼管部位病变多层螺旋CT(MSCT)表现及临床应用价值。资料与方法:回顾性分析经临床或病理证实100例翼管部位的病变,其中骨折16例,骨纤维结构不良(FDB)26例,肿瘤55例,炎症3例。所有病例行MSCT轴位薄层扫描后均行工作站后处理重建,包括多平面重组(MPR)、曲面重组(CPR)及容积显示(VR)。结果:MSCT轴位扫描及MPR重组图像满意显示骨折线及骨碎片移位情况。CPR最佳显示骨纤维结构不良对翼管的影响。严重的炎症使翼管内脂肪淹没,骨壁影响不大。翼管区肿瘤主要为继发性恶性肿瘤,使翼管骨壁消失,扩大。结论:MSCT可准确诊断并评价翼管部位病变。

Abstract

Objective: To explore the MSCT appearances and its clinical application values of diseases of pterygoid canal. Materials and Methods: One hundred patients who had pterygoid canal lesions proved by clinical or pathlological materials were studied retrospectively, including 26 cases of bone fracture, 26 cases of fibrous dysplasia, 55 cases of tumor, 3 cases of inflammation. The volume data of all cases were subjected to multiplanar reformation(MPR), curved planar reformation(CPR) in working station after axial scanning. Results: The combinations of axial MSCT images and MPR images fracture lines and the distribution of bone chips were perfectly demonstrated. CPR images can best displayed the influences of fibrous dysplasia on pterygoid canal. When the severe inflammatory pathological changes intruded into pterygoid canal, the fatty tissue in pterygoid canal was blurred, the influence on bone wall in pterygoid canal was only slight. Secondary malignant tumors were the most common lesion of pterygoid canal, the bony wall of pterygoid canal was completely destroyed or canal enlarged. Conclusion: MSCT can accurately diagnose and define the diseases of pterygoid cana1.

关键词

颅底 / 疾病 / 体层摄影术 / 螺旋计算机

Key words

Skull base / Disease / Tomography / spiral computed

引用本文

导出引用
牛娟琴;宦 怡;李康印. 翼管区病变的MSCT表现[J]. 中国临床医学影像杂志. 2010, 21(2): 99-102
NIU Juan-qin;HUAN Yi;LI Kang-yin. Multislice spiral CT imaging study of the diseases involved pterygoid canal[J]. Journal of China Clinic Medical Imaging. 2010, 21(2): 99-102
中图分类号: R681    R445.2   

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