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Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population

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Abstract

Objective

To longitudinally evaluate effects of smoking cessation on quantitative CT in a lung cancer screening cohort of heavy smokers over 4 years.

Methods

After 4 years, low-dose chest CT was available for 314 long-term ex-smokers (ES), 404 continuous smokers (CS) and 39 recent quitters (RQ) who quitted smoking within 2 years after baseline CT. CT acquired at baseline and after 3 and 4 years was subjected to well-evaluated densitometry software, computing mean lung density (MLD) and 15th percentile of the lung density histogram (15TH).

Results

At baseline, active smokers showed significantly higher MLD and 15TH (-822±35 and -936±25 HU, respectively) compared to ES (-831±31 and -947±22 HU, p<0.01–0.001). After 3 years, CS again had significantly higher MLD and 15TH (-801±29 and -896±23 HU) than ES (-808±27 and -906±20 HU, p<0.01–0.001) but also RQ (-813±20 and -909±15 HU, p<0.05-0.001). Quantitative CT parameters did not change significantly after 4 years. Importantly, smoking status independently predicted MLD at baseline and year 3 (p<0.001) in multivariate analysis.

Conclusion

On quantitative CT, lung density is higher in active smokers than ex-smokers, and sustainably decreases after smoking cessation, reflecting smoking-induced inflammation. Interpretations of quantitative CT data within clinical trials should consider smoking status.

Key Points

Lung density is higher in active smokers than ex-smokers.

Lung density sustainably decreases after smoking cessation.

Impact of smoking cessation on lung density is independent of potentially confounding factors.

Smoke-induced pulmonary inflammation and particle deposition influence lung density on CT.

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Abbreviations

15TH:

15th percentile of lung density histogram

ATS:

American Thoracic Society

BMI:

Body mass index

COPACETIC COPD Pathology:

Addressing Critical Gaps, Early Treatment and Diagnosis and Innovative Concepts.

COPD:

Chronic obstructive pulmonary disease

CS:

Continuous smokers

CT:

Multidetector computed tomography

DFG:

German Research Council

ECSC:

European Coal and Steal Community

EI:

Emphysema index

ES:

Ex-smokers

EV:

Emphysema volume

FEV1%:

Forced expiratory volume in 1 s in percent predicted

FEV1/FVC:

Tiffenau index

FEV1:

Forced expiratory volume in 1 s

FVC:

Forced vital capacity

GOLD:

Global Initiative for Chronic Obstructive Lung Disease

HU:

Hounsfield units

LAA%950 :

Percentage of low attenuation areas at a threshold of -950 HU

LUSI:

Lung Cancer Screening Intervention Trial

LV:

Lung volume

MLD:

Mean lung density

PD15:

15th percentile of lung density histogram

PFT:

Pulmonary function testing

QCT:

Quantitative CT

RB-ILD:

Respiratory bronchiolitis interstitial lung disease

RQ:

Recent quitters

YACTA:

Yet Another CT Analyzer

References

  1. Coxson HO, Mayo J, Lam S, Santyr G, Parraga G, Sin DD (2009) New and current clinical imaging techniques to study chronic obstructive pulmonary disease. Am J Respir Crit Care Med 180:588–597

    Article  PubMed  Google Scholar 

  2. Rabe KF, Hurd S, Anzueto A et al (2007) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 176:532–555

    Article  PubMed  Google Scholar 

  3. Lynch DA, Austin JH, Hogg JC et al (2015) CT-definable subtypes of chronic obstructive pulmonary disease: a statement of the Fleischner Society. Radiology. doi:https://doi.org/10.1148/radiol.2015141579:141579

  4. Coxson HO, Rogers RM (2005) Quantitative computed tomography of chronic obstructive pulmonary disease. Acad Radiol 12:1457–1463

    Article  PubMed  Google Scholar 

  5. Kauczor HU, Wielputz MO, Owsijewitsch M, Ley-Zaporozhan J (2011) Computed tomographic imaging of the airways in COPD and asthma. Journal of thoracic imaging 26:290–300

    Article  PubMed  Google Scholar 

  6. Ley-Zaporozhan J, van Beek EJ (2010) Imaging phenotypes of chronic obstructive pulmonary disease. Journal of magnetic resonance imaging : JMRI 32:1340–1352

    Article  PubMed  Google Scholar 

  7. Heussel CP, Herth FJ, Kappes J et al (2009) Fully automatic quantitative assessment of emphysema in computed tomography: comparison with pulmonary function testing and normal values. Eur Radiol 19:2391–2402

    Article  CAS  PubMed  Google Scholar 

  8. Hoffman EA, Simon BA, McLennan G (2006) State of the Art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease. Proc Am Thorac Soc 3:519–532

    Article  PubMed  PubMed Central  Google Scholar 

  9. Coxson HO, Dirksen A, Edwards LD et al (2013) The presence and progression of emphysema in COPD as determined by CT scanning and biomarker expression: a prospective analysis from the ECLIPSE study. The Lancet Respiratory medicine 1:129–136

    Article  PubMed  Google Scholar 

  10. Gevenois PA, De Vuyst P, de Maertelaer V et al (1996) Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 154:187–192

    Article  CAS  PubMed  Google Scholar 

  11. Coxson HO, Rogers RM, Whittall KP et al (1999) A quantification of the lung surface area in emphysema using computed tomography. Am J Respir Crit Care Med 159:851–856

    Article  CAS  PubMed  Google Scholar 

  12. Regan EA, Hokanson JE, Murphy JR et al (2010) Genetic epidemiology of COPD (COPDGene) study design. COPD 7:32–43

    Article  PubMed  PubMed Central  Google Scholar 

  13. Han MK, Kazerooni EA, Lynch DA et al (2011) Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes. Radiology 261:274–282

    Article  PubMed  PubMed Central  Google Scholar 

  14. Sciurba FC, Ernst A, Herth FJ et al (2010) A randomized study of endobronchial valves for advanced emphysema. N Engl J Med 363:1233–1244

    Article  CAS  PubMed  Google Scholar 

  15. Grydeland TB, Dirksen A, Coxson HO et al (2009) Quantitative computed tomography: emphysema and airway wall thickness by sex, age and smoking. The European respiratory journal 34:858–865

    Article  CAS  PubMed  Google Scholar 

  16. Camiciottoli G, Cavigli E, Grassi L et al (2009) Prevalence and correlates of pulmonary emphysema in smokers and former smokers. A densitometric study of participants in the ITALUNG trial. Eur Radiol 19:58–66

    Article  PubMed  Google Scholar 

  17. Mohamed Hoesein FA, Zanen P, de Jong PA et al (2013) Rate of progression of CT-quantified emphysema in male current and ex-smokers: a follow-up study. Respiratory research 14:55

    Article  PubMed  PubMed Central  Google Scholar 

  18. Zach JA, Williams A, Jou SS et al (2016) Current Smoking Status Is Associated With Lower Quantitative CT Measures of Emphysema and Gas Trapping. Journal of thoracic imaging 31:29–36

    Article  PubMed  Google Scholar 

  19. Shaker SB, Stavngaard T, Laursen LC, Stoel BC, Dirksen A (2011) Rapid fall in lung density following smoking cessation in COPD. COPD 8:2–7

    Article  PubMed  Google Scholar 

  20. Ashraf H, Lo P, Shaker SB et al (2011) Short-term effect of changes in smoking behaviour on emphysema quantification by CT. Thorax 66:55–60

    Article  PubMed  Google Scholar 

  21. Becker N, Motsch E, Gross ML et al (2012) Randomized study on early detection of lung cancer with MSCT in Germany: study design and results of the first screening round. J Cancer Res Clin Oncol 138:1475–1486

    Article  CAS  PubMed  Google Scholar 

  22. Becker N, Motsch E, Gross ML et al (2015) Randomized Study on Early Detection of Lung Cancer with MSCT in Germany: Results of the First 3 Years of Follow-up After Randomization. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 10:890–896

    Article  CAS  Google Scholar 

  23. Bade M, Bahr V, Brandt U et al (2016) Effect of smoking cessation counseling within a randomised study on early detection of lung cancer in Germany. J Cancer Res Clin Oncol 142:959–968

    Article  CAS  PubMed  Google Scholar 

  24. Miller MR, Hankinson J, Brusasco V et al (2005) Standardisation of spirometry. The European respiratory journal 26:319–338

    Article  CAS  PubMed  Google Scholar 

  25. Quanjer PH, Tammeling GJ, Cotes JE, Pedersen OF, Peslin R, Yernault JC (1993) 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 16:5–40

    Article  CAS  PubMed  Google Scholar 

  26. Weinheimer O, Achenbach T, Heussel CP, Düber C (2011) Automatic Lung Segmentation in MDCT Images Fourth International Workshop on Pulmonary Image Analysis 2011, pp 241-255

  27. Wielputz MO, Weinheimer O, Eichinger M et al (2013) Pulmonary emphysema in cystic fibrosis detected by densitometry on chest multidetector computed tomography. PLoS One 8:e73142

    Article  PubMed  PubMed Central  Google Scholar 

  28. Wielputz MO, Bardarova D, Weinheimer O et al (2014) Variation of densitometry on computed tomography in COPD--influence of different software tools. PloS one 9:e112898

    Article  PubMed  PubMed Central  Google Scholar 

  29. Heussel CP, Kappes J, Hantusch R et al (2009) Contrast enhanced CT-scans are not comparable to non-enhanced scans in emphysema quantification. Eur J Radiol 74:473–478

    Article  PubMed  Google Scholar 

  30. Wielputz MO, Eichinger M, Weinheimer O et al (2013) Automatic airway analysis on multidetector computed tomography in cystic fibrosis: correlation with pulmonary function testing. Journal of thoracic imaging 28:104–113

    Article  PubMed  Google Scholar 

  31. Lim HJ, Weinheimer O, Wielputz MO et al (2016) Fully Automated Pulmonary Lobar Segmentation: Influence of Different Prototype Software Programs onto Quantitative Evaluation of Chronic Obstructive Lung Disease. PLoS One 11:e0151498

    Article  PubMed  PubMed Central  Google Scholar 

  32. Holm S (1979) A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics 6:65–70

    Google Scholar 

  33. Zaporozhan J, Ley S, Weinheimer O et al (2006) Multi-detector CT of the chest: influence of dose onto quantitative evaluation of severe emphysema: a simulation study. Journal of computer assisted tomography 30:460–468

    Article  PubMed  Google Scholar 

  34. Yuan R, Mayo JR, Hogg JC et al (2007) The effects of radiation dose and CT manufacturer on measurements of lung densitometry. Chest 132:617–623

    Article  PubMed  Google Scholar 

  35. Gierada DS, Bierhals AJ, Choong CK et al (2010) Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index. Acad Radiol 17:146–156

    Article  PubMed  PubMed Central  Google Scholar 

  36. Smith BM, Barr RG (2013) Establishing normal reference values in quantitative computed tomography of emphysema. Journal of thoracic imaging 28:280–283

    Article  PubMed  PubMed Central  Google Scholar 

  37. Gietema HA, Schilham AM, van Ginneken B, van Klaveren RJ, Lammers JW, Prokop M (2007) Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema. Radiology 244:890–897

    Article  PubMed  Google Scholar 

  38. Soejima K, Yamaguchi K, Kohda E et al (2000) Longitudinal follow-up study of smoking-induced lung density changes by high-resolution computed tomography. Am J Respir Crit Care Med 161:1264–1273

    Article  CAS  PubMed  Google Scholar 

  39. Kauczor HU, Heussel CP, Herth FJ (2013) Longitudinal quantitative low-dose CT in COPD: ready for use? The Lancet Respiratory medicine 1:95–96

    Article  PubMed  Google Scholar 

  40. Sieren JP, Newell JD, Judy PF et al (2012) Reference standard and statistical model for intersite and temporal comparisons of CT attenuation in a multicenter quantitative lung study. Medical physics 39:5757–5767

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Stoel BC, Putter H, Bakker ME et al (2008) Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema. Proc Am Thorac Soc 5:919–924

    Article  PubMed  Google Scholar 

  42. Madani A, Van Muylem A, Gevenois PA (2010) Pulmonary emphysema: effect of lung volume on objective quantification at thin-section CT. Radiology 257:260–268

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank all participants for their willingness to contribute to this study. The expert technical assistance of Julia Schliebus and Martina Jochim are gratefully appreciated. This work contains parts of the doctoral thesis of Mila Trauth, Heidelberg, Germany.

Funding

This study has received funding by the Dietmar Hopp Foundation (2007–2010) and the German Research Association (DFG) (2007–2013). The COPACETIC study was funded by EU FP7 grant 201379.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Bertram J. Jobst.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Mark O. Wielpütz.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

Ethical approval

Institutional Review Board approval was obtained (approved by the Ethics Committee of the Medical Faculty of the University of Heidelberg (073/2001) and the federal radiation protection authority (22462/2 2006-045)).

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Study subjects or cohorts overlap

The study subjects have been previously reported in J Thorac Oncol. 2015 Jun;10(6):890-6, Am J Respir Crit Care Med. 2015 Mar 1;191(5):547-56, J Cancer Res Clin Oncol. 2012 Sep;138(9):1475-86, and Eur J Radiol. 2014 Mar;83(3):600-5, investigating data or aspects that were significantly different from the present study.

Methodology

• prospective

• randomised controlled trial

• observational

• performed at one institution

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Jobst, B.J., Weinheimer, O., Trauth, M. et al. Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population. Eur Radiol 28, 807–815 (2018). https://doi.org/10.1007/s00330-017-5030-6

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  • DOI: https://doi.org/10.1007/s00330-017-5030-6

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