Airway Quantification Using Ultra-Low-Dose Computed Tomography Correlates With Pulmonary Function Indices in Patients...

Area of Science:

• Pulmonary Medicine
• Radiology
• Medical Imaging

Background:

• Asthma involves airway and parenchymal abnormalities.
• Quantitative imaging can assess these changes.
• Ultra-low-dose computed tomography (ULDCT) offers reduced radiation exposure.

Purpose of the Study:

• To evaluate ULDCT for quantifying airway and parenchymal abnormalities in asthma.
• To assess the association of ULDCT-derived indices with spirometry.
• To determine the utility of ULDCT as a low-radiation biomarker in asthma.

Main Methods:

• Prospective cohort study of 24 asthma patients.
• Quantitative indices: LAA% (emphysema), PRM^fSAD (small airway disease), Pi10 (airway thickening).
• Assessment against spirometric parameters (FEV₁, FEF25-75, FEV₁/FVC) at baseline and 1-year follow-up.

Main Results:

• PRM^fSAD demonstrated the strongest associations with FEV₁ %pred, FEF25-75 %pred, and FEV₁/FVC ratio.
• LAA% correlated mainly with the FEV₁/FVC ratio.
• Pi10 showed association only with FEF25-75%pred in multivariable analysis.
• Correlations remained stable over time despite dose variability.

Conclusions:

• ULDCT-derived indices, especially PRM^fSAD, are practical low-radiation biomarkers for asthma lung function abnormalities.
• This approach aids in monitoring disease progression and treatment response.
• ULDCT offers a promising tool for quantitative assessment in asthma management.