南方医科大学学报2012，Vol.32Issue(12)：1768-1772,5.DOI:10.3969/j.issn.1673-4254.2012.12.018
尘肺观察对象的CT定量分析
Compute tomography-based quantitative evaluation of pneumoconiosis
摘要
Abstract
Objective To study the value of compute tomography (CT)-based quantitative assessment in the diagnosis of pneumoconiosis. Methods Sixty patients with pneumoconiosis and 40 healthy volunteers (control) underwent CT scanning at the levels of the top of the aortic arch, tracheal carina, and 3 cm and 6 cm below the tracheal carina. All the CT images were analyzed with density histograms for a specific region to calculate the mean lung CT value (ME) and pixel index for assessment of lung density changes. Results At the levels of the top of the aortic arch and 6 cm below the tracheal carina, the pixel indices in the 10 CT threshold density intervals within -832 to -352 HU was all significantly higher in pneumoconiosis group than in the control group (P<0.05). At the levels of the tracheal carina and 3 cm below the tracheal carina, the 11 pixel indices in the CT threshold density intervals within -880 to -352 HU were also significantly higher in pneumoconiosis group (P< 0.05). At all the 4 scan levels, the pixel indices in the 10 intervals between -880 and -352 HU were all significantly higher in pneumoconiosis group (P<0.05). Conclusion CT density histograms allow quantitative evaluation of lung fibrosis in patients with pneumoconiosis for diagnostic purposes.关键词
尘肺观察对象/CT扫描/定量分析/像素直方图/像素指数Key words
pneumoconiosis/computed tomography/quantitative analysis/density histogram/pixel index分类
医药卫生引用本文复制引用
夏露花,吕富荣,王伊,盛波,周绍全..尘肺观察对象的CT定量分析[J].南方医科大学学报,2012,32(12):1768-1772,5.基金项目
重庆市卫生局医学科学技术重点项目(2009-1-108) （2009-1-108）
