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Scherer, K.* ; Yaroshenko, A.* ; Bölükbas, D.A. ; Gromann, L.B.* ; Hellbach, K.* ; Meinel, F.G.* ; Braunagel, M.* ; Berg, J.V.* ; Eickelberg, O. ; Reiser, M.F.* ; Pfeiffer, F.* ; Meiners, S. ; Herzen, J.*

X-ray dark-field radiography - in-vivo diagnosis of lung cancer in mice.

Sci. Rep. 7:402 (2017)
Verlagsversion Forschungsdaten DOI
Open Access Gold
Creative Commons Lizenzvertrag
Accounting for about 1.5 million deaths annually, lung cancer is the prevailing cause of cancer deaths worldwide, mostly associated with long-term smoking effects. Numerous small-animal studies are performed currently in order to better understand the pathogenesis of the disease and to develop treatment strategies. Within this letter, we propose to exploit X-ray dark-field imaging as a novel diagnostic tool for the detection of lung cancer on projection radiographs. Here, we demonstrate in living mice bearing lung tumors, that X-ray dark-field radiography provides significantly improved lung tumor detection rates without increasing the number of false-positives, especially in the case of small and superimposed nodules, when compared to conventional absorption-based imaging. While this method still needs to be adapted to larger mammals and finally humans, the technique presented here can already serve as a valuable tool in evaluating novel lung cancer therapies, tested in mice and other small animal models.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 7, Heft: 1, Seiten: , Artikelnummer: 402 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed