Computed tomography findings in bronchial asthma: quantification of air trapping and correlation with pulmonary function tests

Abstract

Background

High-resolution computed tomography (HRCT) scans can help identify subsets of asthma patients who show rapid decline in lung function.

Purpose

To evaluate high-resolution computed tomography (HRCT) findings in adult patients with asthma, obtain quantitative measurements of air trapping on expiratory scans, and correlate the findings with pulmonary function tests (PFTs).

Material and Methods

Thirty adults with asthma with persistent-mild, persistent-moderate, and persistent-severe categories as per standard clinical guidelines were evaluated with inspiratory and expiratory HRCT for various imaging features of bronchial asthma. Expiratory HRCT scan were used to quantify degree of air-trapping, and their values quantified as “pixel index,” using a special “density' mask” software. Complete spirometry and body plethysmography were performed on each patient within 0–2 days of HRCT scans. HRCT findings were correlated with the clinical severity groups and the CT pixel indices (PI) were correlated with the PFT results using correlation coefficients and linear regression analysis.

Results

The inspiratory CT findings did not correlate with increase in disease severity. Expiratory scans accurately quantified areas of air trapping. CT-PI correlated well with PFT values indicative of airway obstruction and airflow limitation, which helped differentiate patients with asthma with increasing severity from those with milder forms of the disease.

Conclusion

Expiratory thin-section CT is a useful objective method to quantify air-trapping in people with asthma. The air-trapping score measured in “pixel indices” correlates well with PFT results and can successfully identify patients with severe asthma. Further studies are needed to confirm if this parameter can serve as a potential marker for airway remodeling and declining lung function.