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Status: Bibliographieeintrag

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Verfasst von:Jobst, Bertram [VerfasserIn]   i
 Weinheimer, Oliver [VerfasserIn]   i
 Trauth, Mila [VerfasserIn]   i
 Becker, Nikolaus [VerfasserIn]   i
 Tremper, Jan [VerfasserIn]   i
 Delorme, Stefan [VerfasserIn]   i
 Eichinger, Monika [VerfasserIn]   i
 Kauczor, Hans-Ulrich [VerfasserIn]   i
 Wielpütz, Mark Oliver [VerfasserIn]   i
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
 1613-3757
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.
DOI:doi:10.1007/s00330-017-5030-6
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag ; Resolving-System: https://doi.org/10.1007/s00330-017-5030-6
 Volltext: http://dx.doi.org/10.1007/s00330-017-5030-6
 DOI: https://doi.org/10.1007/s00330-017-5030-6
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Biomarker
 Chronic-obstructive pulmonary disease
 Emphysema
 Quantitative computed tomography
 Smoking cessation
K10plus-PPN:1580495982
Verknüpfungen:→ Zeitschrift

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