Assessment of regional progression of pulmonary emphysema with CT densitometry.

BACKGROUND Lung densitometry is an effective method to assess overall progression of emphysema, but generally the location of the progression is not estimated. We hypothesized that progression of emphysema is the result of extension from affected areas toward less affected areas in the lung. To test this hypothesis, a method was developed to assess emphysema severity at different levels in the lungs in order to estimate regional changes. METHODS Fifty subjects with emphysema due to alpha(1)-antitrypsin deficiency (AATD) [AATD deficiency of phenotype PiZZ (PiZ) group] and 16 subjects with general emphysema (general emphysema without phenotype PiZZ [non-PiZ] group) were scanned with CT at baseline and after 30 months. Densitometry was performed in 12 axial partitions of equal volumes. To indicate predominant location, craniocaudal locality was defined as the slope in the plot of densities against partitions. Regional progression of emphysema was calculated after volume correction, and its slope identifies the area of predominant progression. The hypothesis was tested by investigating the correlation between predominant location and predominant progression. RESULTS As expected, the PiZ patients showed more basal emphysema than the non-PiZ group (craniocaudal locality, - 40.0 g/L vs - 6.2 g/L). Overall progression rate in PiZ patients was lower than in non-PiZ subjects. A significant correlation was found between craniocaudal locality and progression slope in PiZ subjects (R = 0.566, p < 0.001). In the non-PiZ group, no correlation was found. CONCLUSIONS In the PiZ group, the more emphysema is distributed basally, the more progression was found in the basal area. This finding suggests that emphysema due to AATD spreads out from affected areas.

[1]  I. Grant Chronic Airflow Obstruction in Lung Disease , 1977 .

[2]  Jan Stolk,et al.  Pattern of emphysema distribution in alpha1-antitrypsin deficiency influences lung function impairment. , 2004, American journal of respiratory and critical care medicine.

[3]  H Putter,et al.  Correlation between annual change in health status and computer tomography derived lung density in subjects with α1-antitrypsin deficiency , 2003, Thorax.

[4]  H A Vrooman,et al.  A randomized clinical trial of alpha(1)-antitrypsin augmentation therapy. , 1999, American journal of respiratory and critical care medicine.

[5]  Johan H C Reiber,et al.  Progression parameters for emphysema: a clinical investigation. , 2007, Respiratory medicine.

[6]  Kunihiro Yagihashi,et al.  Quantitative Thin-Section CT Analysis of the Enlargement and Coalescence of Low-Attenuation Clusters in Patients with Emphysema , 2006, Respiration.

[7]  B Suki,et al.  Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[8]  R. Stockley,et al.  Computed tomography: a new gold standard for the clinical assessment of emphysema. , 2006, American Journal of Respiratory and Critical Care Medicine.

[9]  B Suki,et al.  Roles of mechanical forces and collagen failure in the development of elastase-induced emphysema. , 2001, American journal of respiratory and critical care medicine.

[10]  Lene Theil Skovgaard,et al.  Progress of emphysema in severe α1-Antitrypsin Deficiency as Assessed by Annual CT , 1997 .

[11]  J. Hogg,et al.  Report of a workshop: quantitative computed tomography scanning in longitudinal studies of emphysema , 2004, European Respiratory Journal.

[12]  Johan H C Reiber,et al.  Variability in Densitometric Assessment of Pulmonary Emphysema With Computed Tomography , 2005, Investigative radiology.

[13]  Kunihiro Yagihashi,et al.  Morphological Progression of Emphysema on Thin-section CT: Analysis of Longitudinal Change in the Number and Size of Low-Attenuation Clusters , 2006, Journal of computer assisted tomography.

[14]  Jan Stolk,et al.  Comparison of the Sensitivities of 5 Different Computed Tomography Scanners for the Assessment of the Progression of Pulmonary Emphysema: A Phantom Study , 2004, Investigative radiology.

[15]  Jan Stolk,et al.  Optimization and Standardization of Lung Densitometry in the Assessment of Pulmonary Emphysema , 2004, Investigative radiology.

[16]  A. Dirksen,et al.  Quantitative assessment of emphysema distribution in smokers and patients with alpha1-antitrypsin deficiency. , 2006, Respiratory medicine.

[17]  M. Cosio,et al.  Centrilobular and panlobular emphysema in smokers. Two distinct morphologic and functional entities. , 1991, The American review of respiratory disease.

[18]  R. Mecham,et al.  The stumbling block in lung repair of emphysema: elastic fiber assembly. , 2006, Proceedings of the American Thoracic Society.

[19]  E. Russi,et al.  Functional and morphological heterogeneity of emphysema and its implication for selection of patients for lung volume reduction surgery. , 1999, The European respiratory journal.

[20]  S. Rennard Chronic obstructive pulmonary disease: linking outcomes and pathobiology of disease modification. , 2006, Proceedings of the American Thoracic Society.

[21]  Nita Barrow,et al.  REPORT ON WORKSHOP A , 1978 .

[22]  F. Laurent,et al.  Distribution of lung density and mass in patients with emphysema as assessed by quantitative analysis of CT. , 2000, Chest.

[23]  M. Tobin,et al.  Alpha 1-antitrypsin deficiency: the radiological features of pulmonary emphysema in subjects of Pi type Z and Pi type SZ: a survey by the British Thoracic Association. , 1982, Clinical radiology.

[24]  B C Stoel,et al.  Validation of computed tomographic lung densitometry for monitoring emphysema in α1-antitrypsin deficiency , 2006, Thorax.

[25]  S. Biswal,et al.  Role of lung maintenance program in the heterogeneity of lung destruction in emphysema. , 2006, Proceedings of the American Thoracic Society.