摘要
目的探讨应用CT定量成像技术诊断尘肺的价值。方法收集60例尘肺观察对象(尘肺观察对象组)及同期体检结果正常的40名健康男性(正常对照组),均行胸部CT扫描,将CT测量值(-1024～-325HU)划分为14个CT阈值区间,间隔49HU,应用CT密度直方图计算不同CT阈值范围内的平均肺密度及像素指数(PI),绘制尘肺观察对象组与正常对照组在不同CT阈值区间内的PI分布曲线。结果在-874～-325HU范围的11个CT阈值区间内,尘肺观察对象组的PI均高于正常对照组,差异均有统计学意义(P均<0.05),而-1024～-875HU三个区间内两组PI的差异无统计学意义(均>0.05);尘肺观察对象组像素分布曲线向右侧高密度区偏移。结论应用CT定量成像技术诊断尘肺结果较为客观,为诊断及研究尘肺提供了一种新的定量辅助方法。
Objective To explore the value of CT quantitative imaging technology in the diagnosis of pneumoconiosis. Methods Sixty pneumoconiosis observation objects （pneumoconiosis observation object group） and 40 normal males （control group） were collected and underwent chest CT scan. The CT observed value （-1024—-325 HU） were divided into 14 regions with interval of 49 HU, and the pixel index （PI） and mean lung density of all images were drawn by CT density histogram at observing region. PI in pneumoconiosis observation object group and control group were compared in every CT threshold value interval, and PI distribution curves were obtained. Results From -874 to-325 HU, PI in pneumoconiosis observation object group were higher than that in control group （all P〈0.05）, but from -1024 to-875 HU, the differences were not statistically significant （all P〉0.05）. PI distribution curve of pneumoconiosis observation object group pixel migrated to the right high density area. Conclusion CT quantitative imaging technology provides a new and objective quantitative auxiliary method for diagnosis of pneumoconiosis.
出处
《中国医学影像技术》
CSCD
北大核心
2013年第1期71-74,共4页
Chinese Journal of Medical Imaging Technology
基金
重庆市卫生局医学科学技术重点项目(2009-1-108)
关键词
尘肺
体层摄影术
X线计算机
定量分析
像素直方图
像素指数
Pneumoconiosis
Tomography, X-ray computed
Quantitative analysis
Density histogram
Pixel index
