Your browser doesn't support javascript.
Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI.
Spiro, Judith Eva; Curta, Adrian; Mansournia, Shiwa; Marschner, Constantin Arndt; Maurus, Stefan; Weckbach, Ludwig Thomas; Hedderich, Dennis Martin; Dinkel, Julien.
  • Spiro JE; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Curta A; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Mansournia S; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Marschner CA; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Maurus S; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Weckbach LT; Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.
  • Hedderich DM; Department of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Dinkel J; Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
Radiol Bras ; 54(4): 211-218, 2021.
Article in English | MEDLINE | ID: covidwho-1323030
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.
RESUMO

OBJETIVO:

Avaliar o desempenho da ressonância magnética (RM) de 1,5 T true fast imaging with steady state precession (TrueFISP) para detecção e caracterização de anormalidades pulmonares causadas por doença do coronavírus 2019 (COVID-19).

MATERIAIS E MÉTODOS:

Neste estudo retrospectivo unicêntrico, imagens de tomografia computadorizada (TC) e RM de 20 pacientes com pneumonia COVID-19 foram avaliadas em relação a distribuição, opacidade e forma das lesões pulmonares, anormalidades brônquicas, derrame pleural e linfadenopatia torácica. O teste de McNemar foi usado para comparar os achados associados à COVID-19 na TC e na RM.

RESULTADOS:

As opacidades em vidro fosco foram mais bem visualizadas na TC do que na RM (p = 0,031). Não foram encontradas diferenças estatisticamente significantes entre TC e RM em relação aos outros aspectos, ou seja, visualização de consolidações e espessamento septal interlobular/intralobular, distribuição ou forma de anormalidades pulmonares, doenças brônquicas, derrame pleural ou linfadenopatia torácica.

CONCLUSÃO:

As anomalias pulmonares causadas pela pneumonia por COVID-19 podem ser detectadas nas sequências TrueFISP e correspondem aos padrões conhecidos da TC. Especialmente em face da pandemia atual, as porções de imagem dos pulmões na RM cardíaca ou abdominal devem ser cuidadosamente avaliadas para apoiar a identificação e o isolamento de casos inesperados de COVID-19 e, assim, conter a disseminação.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Radiol Bras Year: 2021 Document Type: Article Affiliation country: 0100-3984.2021.0028

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Radiol Bras Year: 2021 Document Type: Article Affiliation country: 0100-3984.2021.0028