Skip to main content
SpringerLink
Log in

Screening von Bronchial- und Lungenkrebs

  • Living reference work entry
  • First Online:
Kompendium Internistische Onkologie

Part of the book series: Springer Reference Medizin ((SRM))

  • 81 Accesses

Zusammenfassung

Im Jahr 2011 berichtete das „US National Lung Cancer Screening Trial“ (NLST) von einer Reduzierung der Lungenkrebssterblichkeit mittels Screening durch Niedrigdosis-Computertomografie (LDCT) im Vergleich zum Röntgen-Screening. In den USA veranlasste dieses Ergebnis führende Fachgesellschaften dazu, LDCT-Screening für Personen mit erhöhtem Lungenkrebs-Risiko zu empfehlen. In Deutschland und weiteren europäischen Ländern jedoch wird noch auf definitive Empfehlungen gewartet, abhängig von den endgültigen Mortalitätsergebnissen aus allen europäischen Screening-Studien. Dazu gehört insbesondere die NELSON-Studie, als Nachweis, dass die NLST-Resultate auf den europäischen medizinischen Kontext übertragen werden können. Dieses Kapitel beleuchtet die potenziellen Vorteile und möglichen Schäden des LDCT-Screenings, den aktuellen Stand wissenschaftlich erbrachter Nachweise aus europäischen Studien, und die Frage, wie LDCT-Screening optimal auf eine Zielgruppe mit hohem Lungenkrebsrisiko ausgerichtet sein könnte.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Similar content being viewed by others

Literatur

  • Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF et al (2011a) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409

    Article  Google Scholar 

  • Aberle DR, Berg CD, Black WC, Church TR, Fagerstrom RM, Galen B, Gareen IF et al (2011b) The national lung screening trial: overview and study design. Radiology 258:243–253

    Article  Google Scholar 

  • Bach PB, Kelley MJ, Tate RC, McCrory DC (2003) Screening for lung cancer: a review of the current literature. Chest 123:72s–82s

    Article  Google Scholar 

  • Bach PB, Mirkin JN, Oliver TK, Azzoli CG, Berry DA, Brawley OW, Byers T et al (2012) Benefits and harms of CT screening for lung cancer: a systematic review. JAMA 307:2418–2429

    Article  CAS  Google Scholar 

  • Black WC, Ling A (1990) Is earlier diagnosis really better? The misleading effects of lead time and length biases. AJR Am J Roentgenol 155:625–630

    Article  CAS  Google Scholar 

  • Fintelmann FJ, Bernheim A, Digumarthy SR, Lennes IT, Kalra MK, Gilman MD, Sharma A et al (2015) The 10 pillars of lung cancer screening: rationale and logistics of a lung cancer screening program. Radiographics 35:1893–1908

    Article  Google Scholar 

  • van Ginneken B (2017) Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning. Radiol Phys Technol 10:23–32

    Article  Google Scholar 

  • Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, Miettinen OS (2006) Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med 355:1763–1771

    Article  Google Scholar 

  • Horeweg N, van Klaveren RJ, Groen HJ, Lammers JW, Weenink C, Nackaerts K, Mali W et al (2012) Blinded and uniform cause of death verification in a lung cancer CT screening trial. Lung Cancer 77:522–525

    Article  CAS  Google Scholar 

  • Horeweg N, van der Aalst CM, Vliegenthart R, Zhao Y, Xie X, Scholten ET, Mali W et al (2013) Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial. Eur Respir J 42:1659–1667

    Article  Google Scholar 

  • Horeweg N, Scholten ET, de Jong PA, van der Aalst CM, Weenink C, Lammers JW et al (2014) Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers. Lancet Oncol 15:1342–1350

    Article  Google Scholar 

  • Huber A, Landau J, Ebner L, Butikofer Y, Leidolt L, Brela B, May M et al (2016) Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging. Eur Radiol 26:3643–3652

    Article  Google Scholar 

  • Infante M, Cavuto S, Lutman FR, Passera E, Chiarenza M, Chiesa G, Brambilla G et al (2015) Long-term follow-up results of the DANTE trial, a randomized study of lung cancer screening with spiral computed tomography. Am J Respir Crit Care Med 191:1166–1175

    Article  Google Scholar 

  • Kaaks R, Hüsing A, Fortner RT (2017) Selecting high-risk individuals for lung cancer screening; the use of risk prediction models vs. simplified eligibility criteria. Ann Transl Med 5:406

    Article  Google Scholar 

  • Kauczor HU, Bonomo L, Gaga M, Nackaerts K, Peled N, Prokop M, Remy-Jardin M et al (2015) ESR/ERS white paper on lung cancer screening. Eur Radiol 25:2519–2531

    Article  Google Scholar 

  • van Klaveren RJ, Oudkerk M, Prokop M, Scholten ET, Nackaerts K, Vernhout R, van Iersel CA et al (2009) Management of lung nodules detected by volume CT scanning. N Engl J Med 361:2221–2229

    Article  Google Scholar 

  • Larke FJ, Kruger RL, Cagnon CH, Flynn MJ, McNitt-Gray MM, Wu X, Judy PF et al (2011) Estimated radiation dose associated with low-dose chest CT of average-size participants in the National Lung Screening Trial. AJR Am J Roentgenol 197:1165–1169

    Article  Google Scholar 

  • Li K, Husing A, Sookthai D, Bergmann M, Boeing H, Becker N, Kaaks R (2015) Selecting high-risk individuals for lung cancer screening: a prospective evaluation of existing risk models and eligibility criteria in the German EPIC cohort. Cancer Prev Res (Phila) 8:777–785

    Article  CAS  Google Scholar 

  • Oken MM, Hocking WG, Kvale PA, Andriole GL, Buys SS, Church TR, Crawford ED et al (2011) Screening by chest radiograph and lung cancer mortality: the Prostate, Lung, Colorectal, and Ovarian (PLCO) randomized trial. JAMA 306:1865–1873

    Article  CAS  Google Scholar 

  • Paci E, Puliti D, Lopes Pegna A, Carrozzi L, Picozzi G, Falaschi F, Pistelli F et al (2017) Mortality, survival and incidence rates in the ITALUNG randomised lung cancer screening trial. Thorax 72:825–831

    Article  Google Scholar 

  • Pastorino U, Rossi M, Rosato V, Marchiano A, Sverzellati N, Morosi C, Fabbri A et al (2012) Annual or biennial CT screening versus observation in heavy smokers: 5-year results of the MILD trial. Eur J Cancer Prev 21:308–315

    Article  Google Scholar 

  • Patz EF Jr, Pinsky P, Gatsonis C, Sicks JD, Kramer BS, Tammemagi MC, Chiles C et al (2014) Overdiagnosis in low-dose computed tomography screening for lung cancer. JAMA Intern Med 174:269–274

    Article  Google Scholar 

  • Raji OY, Duffy SW, Agbaje OF, Baker SG, Christiani DC, Cassidy A, Field JK (2012) Predictive accuracy of the liverpool lung project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study. PLoS Med 157:242–250

    Google Scholar 

  • Rampinelli C, De Marco P, Origgi D, Maisonneuve P, Casiraghi M, Veronesi G, Spaggiari L, Bellomi M (2017) Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysis. BMJ 356:j347

    Article  Google Scholar 

  • Ripping TM, Ten Haaf K, Verbeek ALM, van Ravesteyn NT, Broeders MJM (2017) Quantifying overdiagnosis in cancer screening: a systematic review to evaluate the methodology. J Natl Cancer Inst 109(10). https://doi.org/10.1093/jnci/djx060

  • Tammemagi MC, Katki HA, Hocking WG, Church TR, Caporaso N, Kvale PA, Chaturvedi AK et al (2013) Selection criteria for lung-cancer screening. N Engl J Med 368:728–736

    Article  CAS  Google Scholar 

  • Ten Haaf K, de Koning HJ (2015) Overdiagnosis in lung cancer screening: why modelling is essential. J Epidemiol Community Health 69:1035–1039

    Article  Google Scholar 

  • Ten Haaf K, Jeon J (2017) Risk prediction models for selection of lung cancer screening candidates: a retrospective validation study. PLoS Med 14:e1002277

    Article  Google Scholar 

  • Walter J, Nackaerts K, Groen H, Vliegenthart R, Ten Haaf K, Oudkerk M, de Koning H, Tammemagi MC (2015) Application of risk prediction models to lung cancer screening: a review. Thorax 30:88–100

    Google Scholar 

  • Walters S, Maringe C, Coleman MP, Peake MD, Butler J, Young N, Bergstrom S et al (2013) Lung cancer survival and stage at diagnosis in Australia, Canada, Denmark, Norway, Sweden and the UK: a population-based study, 2004–2007. Thorax 68:551–564

    Article  Google Scholar 

  • Wille MM, Dirksen A, Ashraf H, Saghir Z, Bach KS, Brodersen J, Clementsen PF et al (2016) Results of the randomized Danish lung cancer screening trial with focus on high-risk profiling. Am J Respir Crit Care Med 193:542–551

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland

    Rudolf Kaaks & Stefan Delorme

  2. Deutsches Zentrum für Lungenforschung (DZL), Translational Lung Research Center (TLRC), Heidelberg, Deutschland

    Rudolf Kaaks

Authors
  1. Rudolf Kaaks
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefan Delorme
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rudolf Kaaks .

Editor information

Editors and Affiliations

  1. Abt. Hämatologie und Onkologie, Universitätsklinikum Halle-Wittenberg Klinik und Poliklinik Innere Medizin IV, Halle, Sachsen-Anhalt, Germany

    Hans-Joachim Schmoll

Section Editor information

  1. Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Deutschland

    Hajo Zeeb

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Kaaks, R., Delorme, S. (2020). Screening von Bronchial- und Lungenkrebs. In: Schmoll, HJ. (eds) Kompendium Internistische Onkologie . Springer Reference Medizin. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46764-0_79-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-46764-0_79-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46764-0

  • Online ISBN: 978-3-662-46764-0

  • eBook Packages: Springer Referenz Medizin

Publish with us

Policies and ethics

Search

Navigation