Relationship of spirometric, body plethysmographic, and diffusing capacity parameters to emphysema scores derived from CT scans

Kathrin Kahnert, Bertram Jobst, Frank Biertz, Jürgen Biederer, Henrik Watz, Rudolf M Huber, Jürgen Behr, Philippe A Grenier, Peter Alter, Claus F Vogelmeier, Hans-Ulrich Kauczor, Rudolf A Jörres, Kathrin Kahnert, Bertram Jobst, Frank Biertz, Jürgen Biederer, Henrik Watz, Rudolf M Huber, Jürgen Behr, Philippe A Grenier, Peter Alter, Claus F Vogelmeier, Hans-Ulrich Kauczor, Rudolf A Jörres

Abstract

Phenotyping of chronic obstructive pulmonary disease (COPD) with computed tomography (CT) is used to distinguish between emphysema- and airway-dominated type. The phenotype is reflected in correlations with lung function measures. Among these, the relative value of body plethysmography has not been quantified. We addressed this question using CT scans retrospectively collected from clinical routine in a large COPD cohort. Three hundred and thirty five patients with baseline data of the German COPD cohort COPD and Systemic Consequences-Comorbidities Network were included. CT scans were primarily evaluated using a qualitative binary emphysema score. The binary score was positive for emphysema in 52.5% of patients, and there were significant differences between the positive/negative groups regarding forced expiratory volume in 1 second (FEV1), FEV1/forced vital capacity (FVC), intrathoracic gas volume (ITGV), residual volume (RV), specific airway resistance (sRaw), transfer coefficient (KCO), transfer factor for carbon monoxide (TLCO), age, pack-years, and body mass index (BMI). Stepwise discriminant analyses revealed the combination of FEV1/FVC, RV, sRaw, and KCO to be significantly related to the binary emphysema score. The additional positive predictive value of body plethysmography, however, was only slightly higher than that of the conventional combination of spirometry and diffusing capacity, which if taken alone also achieved high predictive values, in contrast to body plethysmography. The additional information on the presence of CT-diagnosed emphysema as conferred by body plethysmography appeared to be minor compared to the well-known combination of spirometry and CO diffusing capacity.

Keywords: COPD; CT scan; body plethysmography; emphysema; lung function.

Conflict of interest statement

Declaration of conflicting interests: Kathrin Kahnert, Bertram Jobst, Frank Biertz, Jürgen Biederer, Henrik Watz, Rudolf M Huber, Jürgen Behr, Rudolf A Jörres declare no competing interests and have nothing to disclose. Claus F Vogelmeier gave presentations at symposia and/or served on scientific advisory boards sponsored by AstraZeneca, Boehringer Ingelheim, CSL Behring, Chiesi, GlaxoSmithKline, Grifols, Menarini, Mundipharma, Novartis, Teva, Cipla, Omniamed, and MedUpdate. Hans-Ulrich Kauczor declares no competing interests and has nothing to disclose with regard to the content of the article. Philippe A Grenier has nothing to disclose with regard to the content of the article.

Figures

Figure 1.
Figure 1.
Receiver operating characteristic (ROC) curves for different combinations of predictors. This figure shows the ROC curves for different combinations of predictors, either spirometry, body plethysmography, and diffusing capacity (blue); or spirometry and diffusing capacity (green); or spirometry (brown), diffusing capacity (yellow), and body plethysmography (purple) separately. The sets of parameters for the different combinations are given in the results section, and the corresponding AUC are given in Table 2. AUC: areas under the curve.
Figure 2.
Figure 2.
Relationship between the 15th percentile and the prediction score. The figure shows the predicted values from multivariate regression against the observed values of the 15th percentile of MLD. The regression equation comprised KCO%pred, ITGV%pred, FEV1/FVC%pred, and BMI (see text). The black circles indicate patients with positive binary emphysema score and the grey circles indicate patients with negative binary score. MLD: mean lung density; KCO: transfer coefficient; ITGV: intrathoracic gas volume; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; BMI: body mass index.

References

    1. Newell JD, Jr, Hogg JC, Snider GL. Report of a workshop: quantitative computed tomography scanning in longitudinal studies of emphysema. Eur Respir J 2004; 23(5): 769–775.
    1. Group COCW, Barr RG, Berkowitz EA, et al. A combined pulmonary-radiology workshop for visual evaluation of COPD: study design, chest CT findings and concordance with quantitative evaluation. COPD 2012; 9(2): 151–159.
    1. Xie X, de Jong PA, Oudkerk M, et al. Morphological measurements in computed tomography correlate with airflow obstruction in chronic obstructive pulmonary disease: systematic review and meta-analysis. Eur Radiol 2012; 22(10): 2085–2093.
    1. Chapman KR, Burdon JG, Piitulainen E, et al. Intravenous augmentation treatment and lung density in severe alpha1 antitrypsin deficiency (RAPID): a randomised, double-blind, placebo-controlled trial. Lancet 2015; 386(9991): 360–368.
    1. Tylen U, Boijsen M, Ekberg-Jansson A, et al. Emphysematous lesions and lung function in healthy smokers 60 years of age. Respir Med 2000; 94(1): 38–43.
    1. Bailey KL. The importance of the assessment of pulmonary function in COPD. Med Clin North Am 2012; 96(4): 745–752.
    1. Garfield JL, Marchetti N, Gaughan JP, et al. Total lung capacity by plethysmography and high-resolution computed tomography in COPD. Int J Chron Obstruct Pulmon Dis 2012; 7: 119–126.
    1. Rambod M, Porszasz J, Make BJ, et al. Six-minute walk distance predictors, including CT scan measures, in the COPDGene cohort. Chest 2012; 141(4): 867–875.
    1. Karch A, Vogelmeier C, Welte T, et al. The german COPD cohort COSYCONET: aims, methods and descriptive analysis of the study population at baseline. Respir Med 2016; 114: 27–37.
    1. Vogelmeier CF, Criner GJ, Martinez FJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med 2017; 195(5): 557–582.
    1. Quanjer PH, Stanojevic S, Cole TJ, et al. Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations. Eur Respir J 2012; 40(6): 1324–1343.
    1. Quanjer PH, Tammeling GJ, Cotes JE, et al. Lung volumes and forced ventilatory flows. Report working party standardization of lung function tests, European community for steel and coal. Official statement of the European respiratory society. Eur Respir J Suppl 1993; 16: 5–40.
    1. van der Lee I, Zanen P, Stigter N, et al. Diffusing capacity for nitric oxide: reference values and dependence on alveolar volume. Respir Med 2007; 101(7): 1579–1584.
    1. Wielputz MO, Weinheimer O, Eichinger M, et al. Pulmonary emphysema in cystic fibrosis detected by densitometry on chest multidetector computed tomography. PLoS One 2013; 8(8): e73142.
    1. Wielputz MO, Bardarova D, Weinheimer O, et al. Variation of densitometry on computed tomography in COPD--influence of different software tools. PLoS One 2014; 9(11): e112898.
    1. Heussel CP, Herth FJ, Kappes J, et al. Fully automatic quantitative assessment of emphysema in computed tomography: comparison with pulmonary function testing and normal values. Eur Radiol 2009; 19(10): 2391–2402.
    1. Mets OM, Murphy K, Zanen P, et al. The relationship between lung function impairment and quantitative computed tomography in chronic obstructive pulmonary disease. Eur Radiol 2012; 22(1): 120–128.
    1. Saure EW, Bakke PS, Lind Eagan TM, et al. Diffusion capacity and CT measures of emphysema and airway wall thickness–relation to arterial oxygen tension in COPD patients. Eur Clin Respir J 2016; 3: 29141.
    1. Regan EA, Hokanson JE, Murphy JR, et al. Genetic epidemiology of COPD (COPDGene) study design. COPD 2010; 7(1): 32–43.
    1. Heussel CP, Kappes J, Hantusch R, et al. Contrast enhanced CT-scans are not comparable to non-enhanced scans in emphysema quantification. Eur J Radiol 2010; 74(3): 473–478.
    1. Marsh S, Aldington S, Williams MV, et al. Utility of lung density measurements in the diagnosis of emphysema. Respir Med 2007; 101(7): 1512–1520.
    1. Nakano Y, Muro S, Sakai H, et al. Computed tomographic measurements of airway dimensions and emphysema in smokers. Correlation with lung function. Am J Respir Crit Care Med 2000; 162(3 Pt 1): 1102–1108.
    1. Criee CP, Sorichter S, Smith HJ, et al. Body plethysmography–its principles and clinical use. Respir Med 2011; 105(7): 959–971.
    1. Dirksen A. Monitoring the progress of emphysema by repeat computed tomography scans with focus on noise reduction. Proc Am Thorac Soc 2008; 5(9): 925–928.
    1. Fernandes L, Fernandes Y, Mesquita AM. Quantitative computed tomography imaging in chronic obstructive pulmonary disease. Lung India 2016; 33(6): 646–652.
    1. Hoffman EA, Ahmed FS, Baumhauer H, et al. Variation in the percent of emphysema-like lung in a healthy, nonsmoking multiethnic sample. The MESA lung study. Ann Am Thorac Soc 2014; 11(6): 898–907.
    1. Kim SS, Seo JB, Lee HY, et al. Chronic obstructive pulmonary disease: lobe-based visual assessment of volumetric CT by using standard images–comparison with quantitative CT and pulmonary function test in the COPDGene study. Radiology 2013; 266(2): 626–635.
    1. da Silva SM, Paschoal IA, De Capitani EM, et al. COPD phenotypes on computed tomography and its correlation with selected lung function variables in severe patients. Int J Chron Obstruct Pulmon Dis 2016; 11: 503–513.

Source: PubMed

Подписаться