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Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features
COVID-19 (coronavirus disease 2019) is a recently emerged pulmonary infection caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). It started in Wuhan, China, in December 2019 and led to a highly contagious disease. Since then COVID-19 continues to spread, causing exponential morbid...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856625/ https://www.ncbi.nlm.nih.gov/pubmed/33533965 http://dx.doi.org/10.1186/s13244-020-00956-6 |
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author | Elmokadem, Ali H. Batouty, Nihal M. Bayoumi, Dalia Gadelhak, Basma N. Abdel-Wahab, Rihame M. Zaky, Mona Abo-Hedibah, Sherif A. Ehab, Ahmed El-Morsy, Ahmed |
author_facet | Elmokadem, Ali H. Batouty, Nihal M. Bayoumi, Dalia Gadelhak, Basma N. Abdel-Wahab, Rihame M. Zaky, Mona Abo-Hedibah, Sherif A. Ehab, Ahmed El-Morsy, Ahmed |
author_sort | Elmokadem, Ali H. |
collection | PubMed |
description | COVID-19 (coronavirus disease 2019) is a recently emerged pulmonary infection caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). It started in Wuhan, China, in December 2019 and led to a highly contagious disease. Since then COVID-19 continues to spread, causing exponential morbidity and mortality and threatening economies worldwide. While the primary diagnostic test for COVID-19 is the reverse transcriptase–polymerase chain reaction (RT-PCR) assay, chest CT has proven to be a diagnostic tool of high sensitivity. A variety of conditions demonstrates CT features that are difficult to differentiate from COVID-19 rendering CT to be of low specificity. Radiologists and physicians should be aware of imaging patterns of these conditions to prevent an erroneous diagnosis that could adversely influence management and patients’ outcome. Our purpose is to provide a practical review of the conditions that mimic COVID-19. A brief description of the forementioned clinical conditions with their CT features will be included. |
format | Online Article Text |
id | pubmed-7856625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78566252021-02-03 Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features Elmokadem, Ali H. Batouty, Nihal M. Bayoumi, Dalia Gadelhak, Basma N. Abdel-Wahab, Rihame M. Zaky, Mona Abo-Hedibah, Sherif A. Ehab, Ahmed El-Morsy, Ahmed Insights Imaging Educational Review COVID-19 (coronavirus disease 2019) is a recently emerged pulmonary infection caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). It started in Wuhan, China, in December 2019 and led to a highly contagious disease. Since then COVID-19 continues to spread, causing exponential morbidity and mortality and threatening economies worldwide. While the primary diagnostic test for COVID-19 is the reverse transcriptase–polymerase chain reaction (RT-PCR) assay, chest CT has proven to be a diagnostic tool of high sensitivity. A variety of conditions demonstrates CT features that are difficult to differentiate from COVID-19 rendering CT to be of low specificity. Radiologists and physicians should be aware of imaging patterns of these conditions to prevent an erroneous diagnosis that could adversely influence management and patients’ outcome. Our purpose is to provide a practical review of the conditions that mimic COVID-19. A brief description of the forementioned clinical conditions with their CT features will be included. Springer International Publishing 2021-02-03 /pmc/articles/PMC7856625/ /pubmed/33533965 http://dx.doi.org/10.1186/s13244-020-00956-6 Text en © The Author(s) 2021 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 | Educational Review Elmokadem, Ali H. Batouty, Nihal M. Bayoumi, Dalia Gadelhak, Basma N. Abdel-Wahab, Rihame M. Zaky, Mona Abo-Hedibah, Sherif A. Ehab, Ahmed El-Morsy, Ahmed Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title | Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title_full | Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title_fullStr | Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title_full_unstemmed | Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title_short | Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features |
title_sort | mimickers of novel coronavirus disease 2019 (covid-19) on chest ct: spectrum of ct and clinical features |
topic | Educational Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856625/ https://www.ncbi.nlm.nih.gov/pubmed/33533965 http://dx.doi.org/10.1186/s13244-020-00956-6 |
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