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

• Verfasst von: Jobst, Bertram [VerfasserIn]
• Verfasst von: Weinheimer, Oliver [VerfasserIn]
• Verfasst von: Trauth, Mila [VerfasserIn]
• Verfasst von: Becker, Nikolaus [VerfasserIn]
• Verfasst von: Tremper, Jan [VerfasserIn]
• Verfasst von: Delorme, Stefan [VerfasserIn]
• Verfasst von: Eichinger, Monika [VerfasserIn]
• Verfasst von: Kauczor, Hans-Ulrich [VerfasserIn]
• Verfasst von: Wielpütz, Mark Oliver [VerfasserIn]
• Titel: Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population
• Verf.angabe: 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
• E-Jahr: 2018
• Jahr: 2018-02-01
• Umfang: 9 S.
• Fussnoten: Gesehen am 29.08.2018
• Titel Quelle: Enthalten in: European radiology
• Ort Quelle: Berlin : Springer, 1991
• Jahr Quelle: 2018
• Band/Heft Quelle: 28(2018), 2, Seite 807-815
• ISSN Quelle: 1432-1084
• ISSN Quelle: 1613-3757
• DOI: doi:10.1007/s00330-017-5030-6
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Biomarker
• Sach-SW: Chronic-obstructive pulmonary disease
• Sach-SW: Emphysema
• Sach-SW: Quantitative computed tomography
• Sach-SW: Smoking cessation
• K10plus-PPN: 1580495982

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).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.