Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population
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 q...
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| Main Authors: | , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2018-02-01
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| In: |
European radiology
Year: 2018, Volume: 28, Issue: 2, Pages: 807-815 |
| ISSN: | 1432-1084 |
| DOI: | 10.1007/s00330-017-5030-6 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1007/s00330-017-5030-6 Verlag, Volltext: http://dx.doi.org/10.1007/s00330-017-5030-6 
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| Author Notes: | Bertram J. Jobst, Oliver Weinheimer, Mila Trauth, Nikolaus Becker, Erna Motsch, Marie-Luise Groß, Jan Tremper, Stefan Delorme, Anke Eigentopf, Monika Eichinger, Hans-Ulrich Kauczor, Mark O. Wielpütz |
MARC
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| 245 | 1 | 0 | |a Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population |c Bertram J. Jobst, Oliver Weinheimer, Mila Trauth, Nikolaus Becker, Erna Motsch, Marie-Luise Groß, Jan Tremper, Stefan Delorme, Anke Eigentopf, Monika Eichinger, Hans-Ulrich Kauczor, Mark O. Wielpütz |
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| 520 | |a 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).ResultsAt 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.ConclusionOn 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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| 650 | 4 | |a Chronic-obstructive pulmonary disease | |
| 650 | 4 | |a Emphysema | |
| 650 | 4 | |a Quantitative computed tomography | |
| 650 | 4 | |a Smoking cessation | |
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