探究慢性阻塞性肺疾病患者HRCT容积成像征象及与肺功能相关性

HRCT Volume Imaging Signs of COPD Patients and Their Correlation with Lung Function

目的探究COPD患者HRCT容积成像征象及与肺功能相关性。方法选取了2017年5月至2019年8月在本院接受治疗的65例COPD患者作为研究对象,将HRCT检查的诊断结果进行讨论和分析;比较不同级别COPD患者的肺功能指标、肺密度、肺容积指标、肺气肿各参数,分析肺密度、肺容积指标、肺气肿参数与肺功能指标的相关性。结果COPD患者的严重程度越高,FEV_(1)、FVC、FEV_(1)/FVC、FEV_(1)%值越低,RV/TLC值越高(P<0.05);COPD患者的严重程度越高,深吸气末肺密度和深呼气末肺密度越高(P<0.05),COPD患者的严重程度越高,Vin、Vex值越高;严重程度越高,TEV、EI值越高,TLV值变化不明显;FVC与TLV呈正相关,FEV_(1)、FEV_(1)/FVC与TLV、Vin、Vex、TEV、EI均呈正相关;FEV_(1)%与Vin呈正相关;RV/TLC与Vin、Vex均呈正相关。结论HRCT检查可清楚显示COPD的影像学特点,HRCT定量容积指标与患者肺功能指标具有一定的相关性,可有效评估COPD患者的严重程度。

Objective To explore the HRCT volume imaging signs of COPD patients and their correlation with lung function.Methods 65 COPD patients who were treated in our hospital from May 2017 to August 2019 were selected as subjects.The diagnosis results of HRCT were discussed and analyzed.The lung function index,lung density,lung volume index and emphysema parameters of patients with different levels of COPD were compared,and the correlations between lung density,lung volume index,emphysema parameters and parameters of lung function were analyzed.Results The severity of COPD patients was higher,the FEV_(1),FVC,FEV_(1)/FVC,and FEV_(1)%value were lower,and the RV/TLC value was higher(P<0.05).The severity of COPD patients was higher,the lung density at the end of deep inspiration and the end of the deep breath was higher(P<0.05).The severity of COPD patients was higher,the Vin and Vex value were higher;the severity was higher,the values of Vin and Vex were higher.The severity was higher,the TEV and EI values were higher,the change of TLV value was less obvious.FVC was positively correlated with TLV.FEV_(1) and FEV_(1)/FVC were positively correlated with TLV,Vin,Vex,TEV and EI.FEV_(1)% was positively correlated with Vin;RV/TLC was positively correlated with Vin and Vex.Conclusion The HRCT examination can clearly show the imaging features of COPD.The HRCT quantitative volume index has a certain correlation with the patient's lung function index,which can effectively assess the severity of COPD patients.