Evidence map›Paper›PMID 33220447›Full record

ArticleMagnetic resonance imaging2021

High-performance low field MRI enables visualization of persistent pulmonary damage after COVID-19.

Rafael Heiss, David M Grodzki, Wilhelm Horger, Michael Uder, Armin M Nagel, Sebastian Bickelhaupt

2 registry-linked trialsOpen access · greenAbstract readCase Reports
In one paragraph

Article in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% of its field
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.

NCT04990531 naunknown statusnot on this map

Low-fielD magnEtiC Resonance Imaging of pulmonarY Parenchyma Changes Associated wiTh Confirmed SARS-CoV-2 Infection in Children and Adolescents

TypeinterventionalSponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2021 to 2022Enrolled68ConditionsSars-CoV-2 Infection, Lung Fibrosis, Covid19ArmsLow-field magnetic resonance imaging, Blood sample
NCT05445531 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Low-field Magnetic Resonance Imaging to Assess Changes in Pulmonary Function Parameters in Confirmed Pediatric SARS-CoV-2 Infection

TypeinterventionalSponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2022 to 2023Enrolled111ConditionsCOVID-19, COVID-19 Respiratory Infection, Long COVIDArmsLow-field magnetic resonance imaging, Nailfold capillaroscopy, Spiroergometry, Realtime deformability cytometry
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  20. COVID-19 and chronic fatigue syndrome: An endocrine perspective.Journal of clinical & translational endocrinology · 2022
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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

6 authors at 2 institutions in 1 country.

Rafael HeissInstitute of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany. Electronic address: rafael.heiss@uk-erlangen.de.
David M GrodzkiSiemens Healthcare GmbH, Magnetic Resonance, Allee am Röthelheimpark 2, 91052 Erlangen, Germany. Electronic address: david.grodzki@siemens-healthineers.com.
Wilhelm HorgerSiemens Healthcare GmbH, Magnetic Resonance, Allee am Röthelheimpark 2, 91052 Erlangen, Germany. Electronic address: wilhelm.horger@siemens-healthineers.com.
Michael UderInstitute of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany. Electronic address: michael.uder@uk-erlangen.de.
Armin M NagelInstitute of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany. Electronic address: armin.nagel@uk-erlangen.de.
Sebastian BickelhauptInstitute of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany. Electronic address: sebastian.bickelhaupt@uk-erlangen.de.
Universitätsklinikum Erlangen · DESiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) with the origin of the spread assumed to be located in Wuhan, China, began in December 2019, and is continuing until now. With the COVID-19 pandemic showing a progressive spread throughout the countries of the world, there is emerging interest for the potential long-term consequences of suffering from a COVID-19 pneumonia. Imaging plays a central role in the diagnosis and management of COVID-19 pneumonia, with chest X-ray examinations and computed tomography (CT) being undoubtedly the modalities most widely used, allowing for a fast and sensitive detection of infiltration patterns associated with COVID-19 pneumonia. For a better understanding of underlying pathomechanisms of pulmonary damage, longitudinal imaging series are warranted, for which CT is of limited usability due to repeated exposure of X-rays. Recent advances in MRI suggested that high-performance low-field MRI might represent a valuable method for pulmonary imaging without the need of radiation exposure. However, so far, low-field MRI has not been applied to study pulmonary damage after COVID-19 pneumonia. We present a case report of a patient who suffered from COVID-19 pneumonia using 0.55 T MRI for follow-up examinations three months after initial infection. Low-field MRI enables a precise visualization of persistent pulmonary changes including ground-glass opacities, which are consistent with CT performed on the same day. Low-field MRI seems to be feasible in the detection of pulmonary involvement in patients with COVID-19 pneumonia and may have the potential for repetitive lung examinations in monitoring the reconvalescence after pulmonary infections.

Indexed as

Tomography, X-Ray ComputedChinaCOVID-19COVID-19 TestingHumansImage Processing, Computer-AssistedLungLung DiseasesMagnetic Resonance ImagingMaleMiddle AgedPost-Acute COVID-19 SyndromeRadiography, Thoracic

Identifiers

PMID33220447
PMCPMC7673210
OpenAlexW3103273343

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.