Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Radiologia Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842021000400211 |
Resumo: | Abstract Objective: To evaluate the performance of 1.5 T true fast imaging with steady state precession (TrueFISP) magnetic resonance imaging (MRI) sequences for the detection and characterization of pulmonary abnormalities caused by coronavirus disease 2019 (COVID-19). Materials and Methods: In this retrospective single-center study, computed tomography (CT) and MRI scans of 20 patients with COVID-19 pneumonia were evaluated with regard to the distribution, opacity, and appearance of pulmonary lesions, as well as bronchial changes, pleural effusion, and thoracic lymphadenopathy. McNemar’s test was used in order to compare the COVID-19-associated alterations seen on CT with those seen on MRI. Results: Ground-glass opacities were better visualized on CT than on MRI (p = 0.031). We found no statistically significant differences between CT and MRI regarding the visualization/characterization of the following: consolidations; interlobular/intralobular septal thickening; the distribution or appearance of pulmonary abnormalities; bronchial pathologies; pleural effusion; and thoracic lymphadenopathy. Conclusion: Pulmonary abnormalities caused by COVID-19 pneumonia can be detected on TrueFISP MRI sequences and correspond to the patterns known from CT. Especially during the current pandemic, the portions of the lungs imaged on cardiac or abdominal MRI should be carefully evaluated to promote the identification and isolation of unexpected cases of COVID-19, thereby curbing further spread of the disease. |
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Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRIThoraxTomography, spiral computedMagnetic resonance imagingPneumoniaCoronavirus infectionsAbstract Objective: To evaluate the performance of 1.5 T true fast imaging with steady state precession (TrueFISP) magnetic resonance imaging (MRI) sequences for the detection and characterization of pulmonary abnormalities caused by coronavirus disease 2019 (COVID-19). Materials and Methods: In this retrospective single-center study, computed tomography (CT) and MRI scans of 20 patients with COVID-19 pneumonia were evaluated with regard to the distribution, opacity, and appearance of pulmonary lesions, as well as bronchial changes, pleural effusion, and thoracic lymphadenopathy. McNemar’s test was used in order to compare the COVID-19-associated alterations seen on CT with those seen on MRI. Results: Ground-glass opacities were better visualized on CT than on MRI (p = 0.031). We found no statistically significant differences between CT and MRI regarding the visualization/characterization of the following: consolidations; interlobular/intralobular septal thickening; the distribution or appearance of pulmonary abnormalities; bronchial pathologies; pleural effusion; and thoracic lymphadenopathy. Conclusion: Pulmonary abnormalities caused by COVID-19 pneumonia can be detected on TrueFISP MRI sequences and correspond to the patterns known from CT. Especially during the current pandemic, the portions of the lungs imaged on cardiac or abdominal MRI should be carefully evaluated to promote the identification and isolation of unexpected cases of COVID-19, thereby curbing further spread of the disease.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2021-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842021000400211Radiologia Brasileira v.54 n.4 2021reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2021.0028info:eu-repo/semantics/openAccessSpiro,Judith EvaCurta,AdrianMansournia,ShiwaMarschner,Constantin ArndtMaurus,StefanWeckbach,Ludwig ThomasHedderich,Dennis MartinDinkel,Julieneng2021-07-16T00:00:00Zoai:scielo:S0100-39842021000400211Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2021-07-16T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false |
dc.title.none.fl_str_mv |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
title |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
spellingShingle |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI Spiro,Judith Eva Thorax Tomography, spiral computed Magnetic resonance imaging Pneumonia Coronavirus infections |
title_short |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
title_full |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
title_fullStr |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
title_full_unstemmed |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
title_sort |
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI |
author |
Spiro,Judith Eva |
author_facet |
Spiro,Judith Eva Curta,Adrian Mansournia,Shiwa Marschner,Constantin Arndt Maurus,Stefan Weckbach,Ludwig Thomas Hedderich,Dennis Martin Dinkel,Julien |
author_role |
author |
author2 |
Curta,Adrian Mansournia,Shiwa Marschner,Constantin Arndt Maurus,Stefan Weckbach,Ludwig Thomas Hedderich,Dennis Martin Dinkel,Julien |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Spiro,Judith Eva Curta,Adrian Mansournia,Shiwa Marschner,Constantin Arndt Maurus,Stefan Weckbach,Ludwig Thomas Hedderich,Dennis Martin Dinkel,Julien |
dc.subject.por.fl_str_mv |
Thorax Tomography, spiral computed Magnetic resonance imaging Pneumonia Coronavirus infections |
topic |
Thorax Tomography, spiral computed Magnetic resonance imaging Pneumonia Coronavirus infections |
description |
Abstract Objective: To evaluate the performance of 1.5 T true fast imaging with steady state precession (TrueFISP) magnetic resonance imaging (MRI) sequences for the detection and characterization of pulmonary abnormalities caused by coronavirus disease 2019 (COVID-19). Materials and Methods: In this retrospective single-center study, computed tomography (CT) and MRI scans of 20 patients with COVID-19 pneumonia were evaluated with regard to the distribution, opacity, and appearance of pulmonary lesions, as well as bronchial changes, pleural effusion, and thoracic lymphadenopathy. McNemar’s test was used in order to compare the COVID-19-associated alterations seen on CT with those seen on MRI. Results: Ground-glass opacities were better visualized on CT than on MRI (p = 0.031). We found no statistically significant differences between CT and MRI regarding the visualization/characterization of the following: consolidations; interlobular/intralobular septal thickening; the distribution or appearance of pulmonary abnormalities; bronchial pathologies; pleural effusion; and thoracic lymphadenopathy. Conclusion: Pulmonary abnormalities caused by COVID-19 pneumonia can be detected on TrueFISP MRI sequences and correspond to the patterns known from CT. Especially during the current pandemic, the portions of the lungs imaged on cardiac or abdominal MRI should be carefully evaluated to promote the identification and isolation of unexpected cases of COVID-19, thereby curbing further spread of the disease. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842021000400211 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842021000400211 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2021.0028 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
dc.source.none.fl_str_mv |
Radiologia Brasileira v.54 n.4 2021 reponame:Radiologia Brasileira (Online) instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) instacron:CBR |
instname_str |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
instacron_str |
CBR |
institution |
CBR |
reponame_str |
Radiologia Brasileira (Online) |
collection |
Radiologia Brasileira (Online) |
repository.name.fl_str_mv |
Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
repository.mail.fl_str_mv |
radiologiabrasileira@cbr.org.br |
_version_ |
1754208941044137985 |