X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice

Abstract 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 deve...

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Autores principales: Kai Scherer, Andre Yaroshenko, Deniz Ali Bölükbas, Lukas B. Gromann, Katharina Hellbach, Felix G. Meinel, Margarita Braunagel, Jens von Berg, Oliver Eickelberg, Maximilian F. Reiser, Franz Pfeiffer, Silke Meiners, Julia Herzen
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/0613f94baea44e24921db9e16033a475
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spelling oai:doaj.org-article:0613f94baea44e24921db9e16033a4752021-12-02T15:06:26ZX-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice10.1038/s41598-017-00489-x2045-2322https://doaj.org/article/0613f94baea44e24921db9e16033a4752017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00489-xhttps://doaj.org/toc/2045-2322Abstract 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.Kai SchererAndre YaroshenkoDeniz Ali BölükbasLukas B. GromannKatharina HellbachFelix G. MeinelMargarita BraunagelJens von BergOliver EickelbergMaximilian F. ReiserFranz PfeifferSilke MeinersJulia HerzenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kai Scherer
Andre Yaroshenko
Deniz Ali Bölükbas
Lukas B. Gromann
Katharina Hellbach
Felix G. Meinel
Margarita Braunagel
Jens von Berg
Oliver Eickelberg
Maximilian F. Reiser
Franz Pfeiffer
Silke Meiners
Julia Herzen
X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
description Abstract 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.
format article
author Kai Scherer
Andre Yaroshenko
Deniz Ali Bölükbas
Lukas B. Gromann
Katharina Hellbach
Felix G. Meinel
Margarita Braunagel
Jens von Berg
Oliver Eickelberg
Maximilian F. Reiser
Franz Pfeiffer
Silke Meiners
Julia Herzen
author_facet Kai Scherer
Andre Yaroshenko
Deniz Ali Bölükbas
Lukas B. Gromann
Katharina Hellbach
Felix G. Meinel
Margarita Braunagel
Jens von Berg
Oliver Eickelberg
Maximilian F. Reiser
Franz Pfeiffer
Silke Meiners
Julia Herzen
author_sort Kai Scherer
title X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title_short X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title_full X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title_fullStr X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title_full_unstemmed X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title_sort x-ray dark-field radiography - in-vivo diagnosis of lung cancer in mice
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/0613f94baea44e24921db9e16033a475
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