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定量计算机断层扫描可检测出由哮喘引起的空气潴留。

Quantitative computed tomography detects air trapping due to asthma.

作者信息

Newman K B, Lynch D A, Newman L S, Ellegood D, Newell J D

机构信息

Department of Medicine, National Jewish Center for Immunology and Respiratory Medicine, Denver.

出版信息

Chest. 1994 Jul;106(1):105-9. doi: 10.1378/chest.106.1.105.

Abstract

OBJECTIVE

The purpose of this study was to prospectively see if quantitative computed tomography (QCT) could separate asthmatic patients from normal control subjects. The QCT results were also correlated with the pulmonary function tests (PFT) that were done on both the asthmatic patients and control subjects.

SUBJECTS AND METHODS

Eighteen adult nonsmoking asthmatics and 22 adult control subjects were entered into the study. Quantitative CT was performed at the level of the transverse aorta and just above the diaphragm at both end inspiration and end expiration in all patients and control subjects: 10-mm and 1.5-mm collimation using a high spatial frequency algorithm was used to obtain the QCT examinations. The percent of pixels below -900 Hounsfeld units, pixel index, in each of the QCT axial images of the lungs was calculated for each asthmatic and control subject in the study. Pulmonary function testing was performed on both the asthmatics and control subjects and included determination of FEV1, FVC, FRC, RV, and TLC. Unpaired Student's t test analysis of the QCT data was done to statistically compare the asthmatics with the control subjects. Linear regression analysis was done to compare the QCT results with PFT data on the asthmatics and control subjects.

RESULTS

When scans were performed at end expiration, at a level immediately superior to the diaphragm, the mean pixel index was significantly higher in asthmatic subjects compared with normal individuals on both CT (mean for normal subjects 0.16 vs 4.45 for asthmatics, p < 0.004) and high-resolution CT (HRCT) images (mean for normal subjects 1.04 vs 10.03 in asthmatics, p < 0.0001) indicating more areas of low attenuation in asthmatics. The CT and HRCT images from the lower lung zones that were performed at end expiration provided the best separation between the groups. The pixel index on expiration correlated with the degree of air trapping and airflow limitation in the asthmatic group based on FEV1, FRC, RV, and to a lesser extent, FVC.

CONCLUSION

Expiratory QCT is a useful method to assess air trapping in asthmatic patients. The percent of abnormal lung in asthmatics as determined by QCT has a significant correlation with the PFTs that reflect air trapping in asthmatic patients. Quantitative CT may be helpful in assessing degrees of air trapping present in other diseases affecting the airways.

摘要

目的

本研究旨在前瞻性地观察定量计算机断层扫描(QCT)能否区分哮喘患者与正常对照者。QCT结果还与哮喘患者和对照者所进行的肺功能测试(PFT)相关。

对象与方法

18名成年不吸烟哮喘患者和22名成年对照者纳入本研究。对所有患者和对照者在吸气末和呼气末时于横主动脉水平及膈肌上方进行定量CT检查:使用高空间频率算法,采用10毫米和1.5毫米准直来获取QCT检查结果。计算研究中每位哮喘患者和对照者肺部QCT轴位图像中低于-900亨氏单位的像素百分比,即像素指数。对哮喘患者和对照者均进行肺功能测试,包括测定第一秒用力呼气容积(FEV1)、用力肺活量(FVC)、功能残气量(FRC)、残气量(RV)和肺总量(TLC)。对QCT数据进行非配对学生t检验分析,以统计学方式比较哮喘患者与对照者。进行线性回归分析,以比较哮喘患者和对照者的QCT结果与PFT数据。

结果

在呼气末于膈肌上方水平进行扫描时,哮喘患者的平均像素指数在CT(正常受试者平均值为0.16,哮喘患者为4.45,p<0.004)和高分辨率CT(HRCT)图像(正常受试者平均值为1.04,哮喘患者为10.03,p<0.0001)上均显著高于正常个体,表明哮喘患者存在更多低衰减区域。呼气末时在下肺区进行的CT和HRCT图像能最佳区分两组。基于FEV1、FRC、RV,呼气时的像素指数与哮喘组的气体陷闭程度和气流受限相关,与FVC的相关性较小。

结论

呼气期QCT是评估哮喘患者气体陷闭的一种有用方法。通过QCT测定的哮喘患者异常肺组织百分比与反映哮喘患者气体陷闭的PFT有显著相关性。定量CT可能有助于评估影响气道的其他疾病中存在的气体陷闭程度。

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