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A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation

In this study we aim to evaluate the assessment of bronchial pathologies in a murine model of lung transplantation with grating-based X-ray interferometry in vivo. Imaging was performed using a dedicated grating-based small-animal X-ray dark-field and phase-contrast scanner. While the contrast modal...

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Autores principales: Umkehrer, Stephan, Morrone, Carmela, Dinkel, Julien, Aigner, Laura, Reiser, Maximilian F., Herzen, Julia, Yildirim, Ali Ö., Pfeiffer, Franz, Hellbach, Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595203/
https://www.ncbi.nlm.nih.gov/pubmed/33116193
http://dx.doi.org/10.1038/s41598-020-75185-4
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author Umkehrer, Stephan
Morrone, Carmela
Dinkel, Julien
Aigner, Laura
Reiser, Maximilian F.
Herzen, Julia
Yildirim, Ali Ö.
Pfeiffer, Franz
Hellbach, Katharina
author_facet Umkehrer, Stephan
Morrone, Carmela
Dinkel, Julien
Aigner, Laura
Reiser, Maximilian F.
Herzen, Julia
Yildirim, Ali Ö.
Pfeiffer, Franz
Hellbach, Katharina
author_sort Umkehrer, Stephan
collection PubMed
description In this study we aim to evaluate the assessment of bronchial pathologies in a murine model of lung transplantation with grating-based X-ray interferometry in vivo. Imaging was performed using a dedicated grating-based small-animal X-ray dark-field and phase-contrast scanner. While the contrast modality of the dark-field signal already showed several promising applications for diagnosing various types of pulmonary diseases, the phase-shifting contrast mechanism of the phase contrast has not yet been evaluated in vivo. For this purpose, qualitative analysis of phase-contrast images was performed and revealed pathologies due to previous lung transplantation, such as unilateral bronchial stenosis or bronchial truncation. Dependent lung parenchyma showed a strong loss in dark-field and absorption signal intensity, possibly caused by several post transplantational pathologies such as atelectasis, pleural effusion, or pulmonary infiltrates. With this study, we are able to show that bronchial pathologies can be visualized in vivo using conventional X-ray imaging when phase-contrast information is analysed. Absorption and dark-field images can be used to quantify the severity of lack of ventilation in the affected lung.
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spelling pubmed-75952032020-10-29 A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation Umkehrer, Stephan Morrone, Carmela Dinkel, Julien Aigner, Laura Reiser, Maximilian F. Herzen, Julia Yildirim, Ali Ö. Pfeiffer, Franz Hellbach, Katharina Sci Rep Article In this study we aim to evaluate the assessment of bronchial pathologies in a murine model of lung transplantation with grating-based X-ray interferometry in vivo. Imaging was performed using a dedicated grating-based small-animal X-ray dark-field and phase-contrast scanner. While the contrast modality of the dark-field signal already showed several promising applications for diagnosing various types of pulmonary diseases, the phase-shifting contrast mechanism of the phase contrast has not yet been evaluated in vivo. For this purpose, qualitative analysis of phase-contrast images was performed and revealed pathologies due to previous lung transplantation, such as unilateral bronchial stenosis or bronchial truncation. Dependent lung parenchyma showed a strong loss in dark-field and absorption signal intensity, possibly caused by several post transplantational pathologies such as atelectasis, pleural effusion, or pulmonary infiltrates. With this study, we are able to show that bronchial pathologies can be visualized in vivo using conventional X-ray imaging when phase-contrast information is analysed. Absorption and dark-field images can be used to quantify the severity of lack of ventilation in the affected lung. Nature Publishing Group UK 2020-10-28 /pmc/articles/PMC7595203/ /pubmed/33116193 http://dx.doi.org/10.1038/s41598-020-75185-4 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Umkehrer, Stephan
Morrone, Carmela
Dinkel, Julien
Aigner, Laura
Reiser, Maximilian F.
Herzen, Julia
Yildirim, Ali Ö.
Pfeiffer, Franz
Hellbach, Katharina
A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title_full A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title_fullStr A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title_full_unstemmed A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title_short A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
title_sort proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595203/
https://www.ncbi.nlm.nih.gov/pubmed/33116193
http://dx.doi.org/10.1038/s41598-020-75185-4
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