Evidence map›Paper›PMID 34393286›Full record

ArticleRadiologia brasileira

Appearance of COVID-19 pneumonia on 1.5 T TrueFISP MRI.

Judith Eva Spiro, Adrian Curta, Shiwa Mansournia, Constantin Arndt Marschner, Stefan Maurus, Ludwig Thomas Weckbach, Dennis Martin Hedderich, Julien Dinkel

Abstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Judith Eva SpiroDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-2560-2713
Adrian CurtaDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-1056-2149
Shiwa MansourniaDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-4082-2370
Constantin Arndt MarschnerDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-2042-7322
Stefan MaurusDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0413-851X
Ludwig Thomas WeckbachDepartment of Medicine I, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-0981-2246
Dennis Martin HedderichDepartment of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.ORCID 0000-0001-8994-5593
Julien DinkelDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-1239-6084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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

methodsIn 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.

resultsGround-glass opacities were better visualized on CT than on MRI (

conclusionPulmonary 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.

Indexed as

Coronavirus infectionsMagnetic resonance imagingPneumoniaThoraxTomography, spiral computed

Identifiers

PMID34393286
PMCPMC8354185

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.