Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia
Frank, Gassert et al. use dark-field chest X-ray imaging to assess COVID-19-pneumonia. Dark-field imaging has a higher sensitivity for COVID-19-pneumonia than attenuation-based imaging and provides an ultralow dose alternative to computed tomography imaging for that purpose.
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-11-01
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Series: | Communications Medicine |
Online Access: | https://doi.org/10.1038/s43856-022-00215-3 |
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author | Manuela Frank Florian T. Gassert Theresa Urban Konstantin Willer Wolfgang Noichl Rafael Schick Manuel Schultheiss Manuel Viermetz Bernhard Gleich Fabio De Marco Julia Herzen Thomas Koehler Klaus Jürgen Engel Bernhard Renger Felix G. Gassert Andreas Sauter Alexander A. Fingerle Bernhard Haller Marcus R. Makowski Daniela Pfeiffer Franz Pfeiffer |
author_facet | Manuela Frank Florian T. Gassert Theresa Urban Konstantin Willer Wolfgang Noichl Rafael Schick Manuel Schultheiss Manuel Viermetz Bernhard Gleich Fabio De Marco Julia Herzen Thomas Koehler Klaus Jürgen Engel Bernhard Renger Felix G. Gassert Andreas Sauter Alexander A. Fingerle Bernhard Haller Marcus R. Makowski Daniela Pfeiffer Franz Pfeiffer |
author_sort | Manuela Frank |
collection | DOAJ |
description | Frank, Gassert et al. use dark-field chest X-ray imaging to assess COVID-19-pneumonia. Dark-field imaging has a higher sensitivity for COVID-19-pneumonia than attenuation-based imaging and provides an ultralow dose alternative to computed tomography imaging for that purpose. |
first_indexed | 2024-04-11T13:54:35Z |
format | Article |
id | doaj.art-217f583a2a8d4e4b86dd1f5359fe377d |
institution | Directory Open Access Journal |
issn | 2730-664X |
language | English |
last_indexed | 2024-04-11T13:54:35Z |
publishDate | 2022-11-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Medicine |
spelling | doaj.art-217f583a2a8d4e4b86dd1f5359fe377d2022-12-22T04:20:22ZengNature PortfolioCommunications Medicine2730-664X2022-11-01211910.1038/s43856-022-00215-3Dark-field chest X-ray imaging for the assessment of COVID-19-pneumoniaManuela Frank0Florian T. Gassert1Theresa Urban2Konstantin Willer3Wolfgang Noichl4Rafael Schick5Manuel Schultheiss6Manuel Viermetz7Bernhard Gleich8Fabio De Marco9Julia Herzen10Thomas Koehler11Klaus Jürgen Engel12Bernhard Renger13Felix G. Gassert14Andreas Sauter15Alexander A. Fingerle16Bernhard Haller17Marcus R. Makowski18Daniela Pfeiffer19Franz Pfeiffer20Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichMunich Institute of Biomedical Engineering, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichPhilips ResearchPhilips ResearchDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichInstitute of AI and Informatics in Medicine, School of Medicine & Klinikum rechts der Isar, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of MunichChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of MunichFrank, Gassert et al. use dark-field chest X-ray imaging to assess COVID-19-pneumonia. Dark-field imaging has a higher sensitivity for COVID-19-pneumonia than attenuation-based imaging and provides an ultralow dose alternative to computed tomography imaging for that purpose.https://doi.org/10.1038/s43856-022-00215-3 |
spellingShingle | Manuela Frank Florian T. Gassert Theresa Urban Konstantin Willer Wolfgang Noichl Rafael Schick Manuel Schultheiss Manuel Viermetz Bernhard Gleich Fabio De Marco Julia Herzen Thomas Koehler Klaus Jürgen Engel Bernhard Renger Felix G. Gassert Andreas Sauter Alexander A. Fingerle Bernhard Haller Marcus R. Makowski Daniela Pfeiffer Franz Pfeiffer Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia Communications Medicine |
title | Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia |
title_full | Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia |
title_fullStr | Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia |
title_full_unstemmed | Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia |
title_short | Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia |
title_sort | dark field chest x ray imaging for the assessment of covid 19 pneumonia |
url | https://doi.org/10.1038/s43856-022-00215-3 |
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