Your browser doesn't support javascript.
loading
The application of low-dose CT scan and quantitative analysis in airway disease of chronic obstructive pulmonary disease / 实用放射学杂志
Journal of Practical Radiology ; (12): 1520-1524, 2016.
Article in Chinese | WPRIM | ID: wpr-503098
ABSTRACT
Objective To evaluate the application value with low-dose CT scan and quantitative analysis in airway disease of chronic obstructive pulmonary disease(COPD).Methods All subjects(34 control cases,88 cases of stable COPD patients)underwent low-dose CT chest scans,and 88 COPD patients underwent pulmonary function tests.Measuring the airway dimensions of 3th generation in apical bronchus of the right upper lobe,the posterior basal bronchus of the right lower lobe and left lower lobe.Results COPD patients with moderate to extremely severe airflow limitation demonstrated higher WA% and Pi10 in comparison with normal volunteers(all P<0.05),meanwhile patients with extremely severe airflow limitation demonstrated higher WA % and Pi10 in comparison with patients with mild airflow limitation(both P <0.05).COPD patients with severe airflow limitation demonstrated higher T/BSA and WA/BSA in comparison with normal volunteers and patients with moderate airflow limitation (all P<0.05).The WA % and Pi10 of COPD patients group were negatively correlated with ventilation indices and small airway indices(all P <0.01).Pi10 were positively correlated with lung volume indices (all P < 0.05 ).Conclusion Low-dose CT scan and quantitative analysis can provide an objective and quantitative method to evaluate the information about airway disease of COPD,inwich both WA % and Pi10 are objective indices.With the increase of air flow limitation,the bronchial wall thickness gradually increased.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Practical Radiology Year: 2016 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Practical Radiology Year: 2016 Type: Article