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