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

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 treat...

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Autores principales: Scherer, Kai, Yaroshenko, Andre, Bölükbas, Deniz Ali, Gromann, Lukas B., Hellbach, Katharina, Meinel, Felix G., Braunagel, Margarita, Berg, Jens von, Eickelberg, Oliver, Reiser, Maximilian F., Pfeiffer, Franz, Meiners, Silke, Herzen, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428469/
https://www.ncbi.nlm.nih.gov/pubmed/28341830
http://dx.doi.org/10.1038/s41598-017-00489-x
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author Scherer, Kai
Yaroshenko, Andre
Bölükbas, Deniz Ali
Gromann, Lukas B.
Hellbach, Katharina
Meinel, Felix G.
Braunagel, Margarita
Berg, Jens von
Eickelberg, Oliver
Reiser, Maximilian F.
Pfeiffer, Franz
Meiners, Silke
Herzen, Julia
author_facet Scherer, Kai
Yaroshenko, Andre
Bölükbas, Deniz Ali
Gromann, Lukas B.
Hellbach, Katharina
Meinel, Felix G.
Braunagel, Margarita
Berg, Jens von
Eickelberg, Oliver
Reiser, Maximilian F.
Pfeiffer, Franz
Meiners, Silke
Herzen, Julia
author_sort Scherer, Kai
collection PubMed
description 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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spelling pubmed-54284692017-05-15 X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice Scherer, Kai Yaroshenko, Andre Bölükbas, Deniz Ali Gromann, Lukas B. Hellbach, Katharina Meinel, Felix G. Braunagel, Margarita Berg, Jens von Eickelberg, Oliver Reiser, Maximilian F. Pfeiffer, Franz Meiners, Silke Herzen, Julia Sci Rep Article 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. Nature Publishing Group UK 2017-03-24 /pmc/articles/PMC5428469/ /pubmed/28341830 http://dx.doi.org/10.1038/s41598-017-00489-x Text en © The Author(s) 2017 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Scherer, Kai
Yaroshenko, Andre
Bölükbas, Deniz Ali
Gromann, Lukas B.
Hellbach, Katharina
Meinel, Felix G.
Braunagel, Margarita
Berg, Jens von
Eickelberg, Oliver
Reiser, Maximilian F.
Pfeiffer, Franz
Meiners, Silke
Herzen, Julia
X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428469/
https://www.ncbi.nlm.nih.gov/pubmed/28341830
http://dx.doi.org/10.1038/s41598-017-00489-x
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