Research

Detection of emphysema progression in alpha 1-antitrypsin deficiency using CT densitometry; Methodological advances

David G Parr¹ , Martin Sevenoaks² , ChunQin Deng³ , Berend C Stoel⁴ and Robert A Stockley²

¹  Department of Respiratory Medicine, University Hospitals of Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV2 2DX, UK

²  Lung Investigation Unit, University Hospital of Birmingham, Edgbaston, Birmingham, B15 2TH, UK

³  Talecris Biotherapeutics, Research Triangle Park, NC 27709, USA

⁴  Division of Image Processing, Department of Radiology, Leiden University Medical Centre, Leiden 2300-RC, The Netherlands

author email corresponding author email

Respiratory Research 2008, 9:21doi:10.1186/1465-9921-9-21

Published:	13 February 2008

Abstract

Background

Computer tomography (CT) densitometry is a potential tool for detecting the progression of emphysema but the optimum methodology is uncertain. The level of inspiration affects reproducibility but the ability to adjust for this variable is facilitated by whole lung scanning methods. However, emphysema is frequently localised to sub-regions of the lung and targeted densitometric sampling may be more informative than whole lung assessment.

Methods

Emphysema progression over a 2-year interval was assessed in 71 patients (alpha 1-antitrypsin deficiency with PiZ phenotype) with CT densitometry, using the 15^th percentile point (Perc15) and voxel index (VI) -950 Hounsfield Units (HU) and -910 HU (VI -950 and -910) on whole lung, limited single slices, and apical, central and basal thirds. The relationship between whole lung densitometric progression (ΔCT) and change in CT-derived lung volume (ΔCT_Vol) was characterised, and adjustment for lung volume using statistical modelling was evaluated.

Results

CT densitometric progression was statistically significant for all methods. ΔCT correlated with ΔCT_Vol and linear regression indicated that nearly one half of lung density loss was secondary to apparent hyperinflation. The most accurate measure was obtained using a random coefficient model to adjust for lung volume and the greatest progression was detected by targeted sampling of the middle third of the lung.

Conclusion

Progressive hyperinflation may contribute significantly to loss of lung density, but volume effects and absolute tissue loss can be identified by statistical modelling. Targeted sampling of the middle lung region using Perc15 appears to be the most robust measure of emphysema progression.