Exploring the optimum approach to the use of CT densitometry in a randomised placebo-controlled study of augmentation therapy in alpha 1-antitrypsin deficiency

David G Parr, Asger Dirksen, Eeva Piitulainen, Chunqin Deng, Marion Wencker, Robert A Stockley, David G Parr, Asger Dirksen, Eeva Piitulainen, Chunqin Deng, Marion Wencker, Robert A Stockley

Abstract

Background: Computed tomography (CT) lung densitometry has been demonstrated to be the most sensitive and specific outcome measure for the assessment of emphysema-modifying therapy, but the optimum densitometric index has yet to be determined and targeted sampling may be more sensitive than whole lung assessment. The EXAcerbations and CT scan as Lung Endpoints (EXACTLE) trial aimed to clarify the optimum approach to the use of CT densitometry data for the assessment of alpha 1-antitrypsin (AAT) augmentation therapy on the progression of emphysema in AAT deficiency (AATD).

Methods: Patients with AATD (n = 77) were randomised to weekly infusions of 60 mg/kg human AAT (Prolastin) or placebo over 2 to 2.5 years. Lung volume was included as a covariate in an endpoint analysis and a comparison was made of different CT densitometric indices (15th percentile lung density [PD15], mean lung density [MLD] and voxel index at a threshold of -910 [VI-910] and -950 [VI-950] Hounsfield Units) obtained from whole lung scans at baseline and at 24 to 30 months. Targeted regional sampling was compared with whole lung assessment.

Results: Whole lung analysis of the total change (baseline to last CT scan) compared with placebo indicated a concordant trend that was suggestive of a treatment effect for all densitometric indices (MLD [1.402 g/L, p = 0.204]; VI-910 [-0.611, p = 0.389]; VI-950 [-0.432, p = 0.452]) and that was significant using PD15 (1.472 g/L, p = 0.049). Assessment of the progression of emphysema in the apical, middle and basal regions of the lung by measurement with PD15 showed that this treatment effect was more evident when the basal third was sampled (1.722 g/L, p = 0.040). A comparison between different densitometric indices indicated that the influence of inspiratory variability between scans was greatest for PD15, but when adjustment for lung volume was made this index was the most sensitive measure of emphysema progression.

Conclusion: PD15 is the most sensitive index of emphysema progression and of treatment modification. Targeted sampling may be more sensitive than whole lung analysis.

Trial registration: Registered in ClinicalTrials.gov as 'Antitrypsin (AAT) to Treat Emphysema in AAT-Deficient Patients'; ClinicalTrials.gov Identifier: NCT00263887.

Figures

Figure 1
Figure 1
Voxel frequency distribution histogram indicating the appearance in normal lung and in emphysema, and the derivation of the densitometric indices that were used in the current study. 15th percentile point is defined as the cut-off value, in Hounsfield Units (HU), below which are distributed the 15% of voxels with the lowest density. (This index may be converted to the 15th percentile lung density (PD15) in g/L by the addition of 1000.) The voxel index at a threshold of -950HU (VI-950) is shown and is defined as the percentage of voxels with a value less than -950HU. The mean lung density is defined as the mean value (in g/L) of all voxels distributed within the lung histogram.
Figure 2
Figure 2
Changes in PD15 (g/L) in whole lung and in basal, middle and apical regions in patients treated with Prolastin versus placebo (mITT population).

References

    1. Spouge D, Mayo JR, Cardoso W, Muller NL. Panacinar emphysema: CT and pathologic findings. J Comput Assist Tomogr. 1993;17(5):710–713. doi: 10.1097/00004728-199309000-00008.
    1. Kuwano K, Matsuba K, Ikeda T, Murakami J, Araki A, Nishitani H, Ishida T, Yasumoto K, Shigematsu N. The diagnosis of mild emphysema. Correlation of computed tomography and pathology scores. Am Rev Respir Dis. 1990;141(1):169–178.
    1. Gevenois PA, de Maertelaer V, De Vuyst P, Zanen J, Yernault JC. Comparison of computed density and macroscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med. 1995;152(2):653–657.
    1. Gevenois PA, De Vuyst P, de Maertelaer V, Zanen J, Jacobovitz D, Cosio MG, Yernault JC. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med. 1996;154(1):187–192.
    1. Gould GA, MacNee W, McLean A, Warren PM, Redpath A, Best JJ, Lamb D, Flenley DC. CT measurements of lung density in life can quantitate distal airspace enlargement - an essential defining feature of human emphysema. Am Rev Respir Dis. 1988;137(2):380–392.
    1. Muller NL, Staples CA, Miller RR, Abboud RT. "Density mask". An objective method to quantitate emphysema using computed tomography. Chest. 1988;94(4):782–787. doi: 10.1378/chest.94.4.782.
    1. Parr DG, Stoel BC, Stolk J, Stockley RA. Validation of computed tomographic lung densitometry for monitoring emphysema in alpha1-antitrypsin deficiency. Thorax. 2006;61(6):485–490. doi: 10.1136/thx.2005.054890.
    1. Stolk J, Ng WH, Bakker ME, Reiber JH, Rabe KF, Putter H, Stoel BC. Correlation between annual change in health status and computer tomography derived lung density in subjects with alpha1-antitrypsin deficiency. Thorax. 2003;58(12):1027–1030. doi: 10.1136/thorax.58.12.1027.
    1. Dowson LJ, Guest PJ, Stockley RA. Longitudinal changes in physiological, radiological, and health status measurements in alpha(1)-antitrypsin deficiency and factors associated with decline. Am J Respir Crit Care Med. 2001;164(10 Pt 1):1805–1809.
    1. Parr DG, Sevenoaks M, Deng C, Stoel BC, Stockley RA. Detection of emphysema progression in alpha1-antitrypsin deficiency using CT densitometry; methodological advances. Respir Res. 2008;9(1):21. doi: 10.1186/1465-9921-9-21.
    1. Shaker SB, Dirksen A, Laursen LC, Skovgaard LT, Holstein-Rathlou NH. Volume adjustment of lung density by computed tomography scans in patients with emphysema. Acta Radiol. 2004;45(4):417–423. doi: 10.1080/02841850410005525.
    1. Parr DG, Stoel BC, Stolk J, Nightingale PG, Stockley RA. Influence of calibration on densitometric studies of emphysema progression using computed tomography. Am J Respir Crit Care Med. 2004;170(8):883–890. doi: 10.1164/rccm.200403-326OC.
    1. Dirksen A, Piitulainen E, Parr DG, Deng C, Wencker M, Shaker SB, Stockley RA. Exploring the role of CT densitometry: a randomised study of augmentation therapy in alpha-1 antitrypsin deficiency. Eur Respir J. 2009;33(6):1345–1353. doi: 10.1183/09031936.00159408.
    1. Dirksen A, Friis M, Olesen KP, Skovgaard LT, Sorensen K. Progress of emphysema in severe alpha1-antitrypsin deficiency as assessed by annual CT. Acta Radiol. 1997;38(5):826–832.
    1. Newell JD, Hogg JC, Snider GL. Report of a workshop: quantitative computed tomography scanning in longitudinal studies of emphysema. Eur Respir J. 2004;23:769–775. doi: 10.1183/09031936.04.00026504.
    1. Bakker ME, Putter H, Stolk J, Shaker SB, Piitulainen E, Russi EW, Stoel BC. Assessment of regional progression of pulmonary emphysema with CT densitometry. Chest. 2008;134(5):931–937. doi: 10.1378/chest.08-0512.
    1. Dirksen A, Dijkman JH, Madsen F, Stoel B, Hutchison DC, Ulrik CS, Skovgaard LT, Kok-Jensen A, Rudolphus A, Seersholm N, Vrooman HA, Reiber JH, Hansen NC, Heckscher T, Viskum K, Stolk J. A randomized clinical trial of alpha1-antitrypsin augmentation therapy. Am J Respir Crit Care Med. 1999;160(5):1468–1472.
    1. Dowson LJ, Guest PJ, Hill SL, Holder RL, Stockley RA. High-resolution computed tomography scanning in alpha1-antitrypsin deficiency: relationship to lung function and health status. Eur Respir J. 2001;17(6):1097–1104. doi: 10.1183/09031936.01.00056501.
    1. Stoel BC, Stolk J. Optimization and standardization of lung densitometry in the assessment of pulmonary emphysema. Invest Radiol. 2004;39(11):681–688. doi: 10.1097/00004424-200411000-00006.
    1. Stolk J, Dirksen A, Lugt AA van der, Hutsebaut J, Mathieu J, de Ree J, Reiber JH, Stoel BC. Repeatability of lung density measurements with low-dose computed tomography in subjects with alpha-1-antitrypsin deficiency-associated emphysema. Invest Radiol. 2001;36(11):648–651. doi: 10.1097/00004424-200111000-00004.
    1. Stoel BC, Vrooman HA, Stolk J, Reiber JH. Sources of error in lung densitometry with CT. Invest Radiol. 1999;34(4):303–309. doi: 10.1097/00004424-199904000-00008.
    1. Coxson HO. Computed tomography and monitoring of emphysema. Eur Respir J. 2007;29(6):1075–1077. doi: 10.1183/09031936.00039807.
    1. Stoel BC, Parr DG, Bakker EM, Putter H, Stolk J, Gietema HA, Schilham AM, van Ginneken B, van Klaveren RJ, Lammers JW, Prokop M. Can the extent of low-attenuation areas on CT scans really demonstrate changes in the severity of emphysema? Radiology. 2008;247(1):293–294.
    1. Ito I, Nagai S, Handa T, Muro S, Hirai T, Tsukino M, Mishima M. Matrix metalloproteinase-9 promoter polymorphism associated with upper lung dominant emphysema. Am J Respir Crit Care Med. 2005;172(11):1378–1382. doi: 10.1164/rccm.200506-953OC.
    1. DeMeo DL, Hersh CP, Hoffman EA, Litonjua AA, Lazarus R, Sparrow D, Benditt JO, Criner G, Make B, Martinez FJ, Scanlon PD, Sciurba FC, Utz JP, Reilly JJ, Silverman EK. Genetic determinants of emphysema distribution in the national emphysema treatment trial. Am J Respir Crit Care Med. 2007;176(1):42–48. doi: 10.1164/rccm.200612-1797OC.
    1. Wyatt JP, Fischer VW, Sweet H. Centrilobular emphysema. Lab Invest. 1961;10:159–177.
    1. Thurlbeck WM. The incidence of pulmonary emphysema, with observations on the relative incidence and spatial distribution of various types of emphysema. Am Rev Respir Dis. 1963;87:206–215.
    1. Orell SR, Mazodier P. Pathological findings in alpha-1 antitrypsin deficiency. In: Mittman C, editor. Pulmonary Emphysema and Proteolysis. New York: Academic Press; 1972. pp. 69–89.
    1. Thurlbeck WM, Angus G. The relationship between emphysema and chronic bronchitis as assessed morphologically. Am Rev Respir Dis. 1963;87:815–819.
    1. Parr DG, Guest PG, Reynolds JH, Dowson LJ, Stockley RA. Prevalence and impact of bronchiectasis in alpha1-antitrypsin deficiency. Am J Respir Crit Care Med. 2007;176(12):1215–1221. doi: 10.1164/rccm.200703-489OC.

Source: PubMed

Подписаться