Details

Autor(en) / Beteiligte

• Koo, Meghan C
• Tan, Wan C
• Hogg, Jim C
• Bourbeau, Jean
• Hague, Cameron J
• Leipsic, Jonathon A
• Kirby, Miranda

Titel

Quantitative computed tomography and visual emphysema scores: association with lung function decline

Ist Teil von

• ERJ open research, 2023-03, Vol.9 (2), p.523

Ort / Verlag

England: European Respiratory Society

Erscheinungsjahr

2023

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• Computed tomography (CT) visual emphysema score is a better predictor of mortality than single quantitative CT emphysema measurements in COPD, but there are numerous CT measurements that reflect COPD-related disease features. The purpose of this study was to determine if linear combinations of quantitative CT measurements by principal component analysis (PCA) have a greater association with forced expiratory volume in 1 s (FEV ) lower limit of normal (LLN) annualised change (ΔFEV ) than visual emphysema score in COPD. In this retrospective, longitudinal study, demographic, spirometry and CT images were acquired. CT visual emphysema score and quantitative analysis were performed; low attenuation area <950 HU (LAA ) and 12 other quantitative CT measurements were investigated. PCA was used for CT feature extraction. Multiple linear regression models for baseline FEV LLN and 6-year ΔFEV were used to determine associations with visual emphysema score and CT measurements. A total of 725 participants were analysed (n=299 never-smokers, n=242 at-risk and n=184 COPD). Quantitative CT measures (LAA and PCA components) were independently statistically significant (p<0.05) in predicting baseline FEV LLN, whereas visual emphysema score was not statistically significant in any baseline model. When predicting 6-year ΔFEV , only visual emphysema score was significant (p<0.05) in models with LAA and PCA combination of emphysema measurements. In the model with PCA using all CT measurements predicting 6-year ΔFEV , visual emphysema score (p=0.021) along with one PCA component (p=0.004) were statistically significant. PCA with a combination of CT measurements reflecting several different COPD-related disease features independently predicted baseline lung function and increased the relative importance of quantitative CT compared with visual emphysema score for predicting lung function decline.