16层螺旋CT在小儿气管、支气管非金属异物中的临床诊断价值

目的：探讨16层螺旋CT重组技术对小儿气管及支气管非金属异物的诊断价值。材料与方法：对22例临床疑气管及支气管异物的患儿,行胸部16层螺旋CT容积扫描后,进行图像后处理,成像技术为多平面重建（MPR）、曲面重建（CPR）、容积再现（VR）和最小密度投影（M inIp）。结果：22例患儿均获得清晰图像,气管支气管非金属异物19例,其中右主支气管异物10例,左主支气管异物6例,气管异物3例。异物中花生米7例,葵花籽3例,西瓜子4例,软糖、青豆各1例,圆珠笔帽1例,碎青菜2例。17例气管、支气管非金属异物患者,均经支气管镜证实,2例患儿自行咳出异物,于咳出异物后复查再未见异物,未行手术;结合各种重建图像能清晰显示异物的位置、形态、大小、支气管狭窄部位、程度、异物与气管壁的关系,其中多平面重建（MPR）、曲面重建（CPR）后处理显示率最高。结论：16层螺旋CT图像后处理技术是诊断气管及支气管非金属异物中的一种无创伤、定位准确检查方法,具有重要临床应用价值。

The Value of Clinical Diagnosis for 16-Slice Spiral CT When The Non-metallic Foreign Body in The Child Trachea and Bronchus

Purpose:Discussion the value of clinical diagnosis for16-Slice Spiral CT recombination when the non-metallic foreign body in the child trachea and bronchus.Materials and Methods:Choose 22 cases Pediatric patients of some foreign body in the rachea and bronchus to do the 16-Slice Spiral CT volume scan on the chest,and do the Image processing,the Imaging technology is MPR、CPR、VR and MinIp.Results:22 cases pediatric patients get the clear Image.there are 19 cases show that non-metallic foreign bodies in the trachea and bronchus,in the right bronchus have 10 cases,and in the left bronchus is 6 cases,the remaining 3 cases are in the trachea.There have 7 cases reanuts,3 cases sunflower seeds,4 cases watermelon seeds,1 case candy,green bean and Pen cap,2 cases chopped vegetables.Tthe 17 cases pediatric patients of some foreign bodies in the rachea and bronchus have been proved by the bronchoscopy.2 cases coughed out by themselves and there are nothing in the last 3 cases.Combination of reconstruction images clearly show the location of foreign body,shape,size,bronchial stenosis,the degree of foreign relations with the tracheal wall,the Multiplanar Reconstruction(MPR),Curved Planar Reconstruction(CPR) show the highest rate of post-processing.Conclusion:16-Slice Spiral CT image post-processing technology is a non-invasive,accurate positioning method of examination on diagnosis of non-metallic foreign bodies in trachea and bronchi,has important clinical value.