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Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography

The aim of this study was to assess the diagnostic value of x-ray dark-field radiography to detect pneumothoraces in a pig model. Eight pigs were imaged with an experimental grating-based large-animal dark-field scanner before and after induction of a unilateral pneumothorax. Image contrast-to-noise...

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Autores principales: Hellbach, Katharina, Baehr, Andrea, De Marco, Fabio, Willer, Konstantin, Gromann, Lukas B., Herzen, Julia, Dmochewitz, Michaela, Auweter, Sigrid, Fingerle, Alexander A., Noël, Peter B., Rummeny, Ernst J., Yaroshenko, Andre, Maack, Hanns-Ingo, Pralow, Thomas, van der Heijden, Hendrik, Wieberneit, Nataly, Proksa, Roland, Koehler, Thomas, Rindt, Karsten, Schroeter, Tobias J., Mohr, Juergen, Bamberg, Fabian, Ertl-Wagner, Birgit, Pfeiffer, Franz, Reiser, Maximilian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805747/
https://www.ncbi.nlm.nih.gov/pubmed/29422512
http://dx.doi.org/10.1038/s41598-018-20985-y
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author Hellbach, Katharina
Baehr, Andrea
De Marco, Fabio
Willer, Konstantin
Gromann, Lukas B.
Herzen, Julia
Dmochewitz, Michaela
Auweter, Sigrid
Fingerle, Alexander A.
Noël, Peter B.
Rummeny, Ernst J.
Yaroshenko, Andre
Maack, Hanns-Ingo
Pralow, Thomas
van der Heijden, Hendrik
Wieberneit, Nataly
Proksa, Roland
Koehler, Thomas
Rindt, Karsten
Schroeter, Tobias J.
Mohr, Juergen
Bamberg, Fabian
Ertl-Wagner, Birgit
Pfeiffer, Franz
Reiser, Maximilian F.
author_facet Hellbach, Katharina
Baehr, Andrea
De Marco, Fabio
Willer, Konstantin
Gromann, Lukas B.
Herzen, Julia
Dmochewitz, Michaela
Auweter, Sigrid
Fingerle, Alexander A.
Noël, Peter B.
Rummeny, Ernst J.
Yaroshenko, Andre
Maack, Hanns-Ingo
Pralow, Thomas
van der Heijden, Hendrik
Wieberneit, Nataly
Proksa, Roland
Koehler, Thomas
Rindt, Karsten
Schroeter, Tobias J.
Mohr, Juergen
Bamberg, Fabian
Ertl-Wagner, Birgit
Pfeiffer, Franz
Reiser, Maximilian F.
author_sort Hellbach, Katharina
collection PubMed
description The aim of this study was to assess the diagnostic value of x-ray dark-field radiography to detect pneumothoraces in a pig model. Eight pigs were imaged with an experimental grating-based large-animal dark-field scanner before and after induction of a unilateral pneumothorax. Image contrast-to-noise ratios between lung tissue and the air-filled pleural cavity were quantified for transmission and dark-field radiograms. The projected area in the object plane of the inflated lung was measured in dark-field images to quantify the collapse of lung parenchyma due to a pneumothorax. Means and standard deviations for lung sizes and signal intensities from dark-field and transmission images were tested for statistical significance using Student’s two-tailed t-test for paired samples. The contrast-to-noise ratio between the air-filled pleural space of lateral pneumothoraces and lung tissue was significantly higher in the dark-field (3.65 ± 0.9) than in the transmission images (1.13 ± 1.1; p = 0.002). In case of dorsally located pneumothoraces, a significant decrease (−20.5%; p > 0.0001) in the projected area of inflated lung parenchyma was found after a pneumothorax was induced. Therefore, the detection of pneumothoraces in x-ray dark-field radiography was facilitated compared to transmission imaging in a large animal model.
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spelling pubmed-58057472018-02-16 Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography Hellbach, Katharina Baehr, Andrea De Marco, Fabio Willer, Konstantin Gromann, Lukas B. Herzen, Julia Dmochewitz, Michaela Auweter, Sigrid Fingerle, Alexander A. Noël, Peter B. Rummeny, Ernst J. Yaroshenko, Andre Maack, Hanns-Ingo Pralow, Thomas van der Heijden, Hendrik Wieberneit, Nataly Proksa, Roland Koehler, Thomas Rindt, Karsten Schroeter, Tobias J. Mohr, Juergen Bamberg, Fabian Ertl-Wagner, Birgit Pfeiffer, Franz Reiser, Maximilian F. Sci Rep Article The aim of this study was to assess the diagnostic value of x-ray dark-field radiography to detect pneumothoraces in a pig model. Eight pigs were imaged with an experimental grating-based large-animal dark-field scanner before and after induction of a unilateral pneumothorax. Image contrast-to-noise ratios between lung tissue and the air-filled pleural cavity were quantified for transmission and dark-field radiograms. The projected area in the object plane of the inflated lung was measured in dark-field images to quantify the collapse of lung parenchyma due to a pneumothorax. Means and standard deviations for lung sizes and signal intensities from dark-field and transmission images were tested for statistical significance using Student’s two-tailed t-test for paired samples. The contrast-to-noise ratio between the air-filled pleural space of lateral pneumothoraces and lung tissue was significantly higher in the dark-field (3.65 ± 0.9) than in the transmission images (1.13 ± 1.1; p = 0.002). In case of dorsally located pneumothoraces, a significant decrease (−20.5%; p > 0.0001) in the projected area of inflated lung parenchyma was found after a pneumothorax was induced. Therefore, the detection of pneumothoraces in x-ray dark-field radiography was facilitated compared to transmission imaging in a large animal model. Nature Publishing Group UK 2018-02-08 /pmc/articles/PMC5805747/ /pubmed/29422512 http://dx.doi.org/10.1038/s41598-018-20985-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hellbach, Katharina
Baehr, Andrea
De Marco, Fabio
Willer, Konstantin
Gromann, Lukas B.
Herzen, Julia
Dmochewitz, Michaela
Auweter, Sigrid
Fingerle, Alexander A.
Noël, Peter B.
Rummeny, Ernst J.
Yaroshenko, Andre
Maack, Hanns-Ingo
Pralow, Thomas
van der Heijden, Hendrik
Wieberneit, Nataly
Proksa, Roland
Koehler, Thomas
Rindt, Karsten
Schroeter, Tobias J.
Mohr, Juergen
Bamberg, Fabian
Ertl-Wagner, Birgit
Pfeiffer, Franz
Reiser, Maximilian F.
Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title_full Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title_fullStr Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title_full_unstemmed Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title_short Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
title_sort depiction of pneumothoraces in a large animal model using x-ray dark-field radiography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805747/
https://www.ncbi.nlm.nih.gov/pubmed/29422512
http://dx.doi.org/10.1038/s41598-018-20985-y
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