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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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. |
format | Online Article Text |
id | pubmed-5428469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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