Evidence map›Paper›PMID 40999201›Full record

ArticleNeuroradiology2025

Structured assessment of brain MRI in Covid-19-related neurological disease: an international multicentre study.

Stéphane Kremer, Tarek A Yousry, Rafael Rehwald, François Lersy, Nicolas Meyer, Simonetta Gerevini, Angela Napolitano, Àlex Rovira, Ng Karelys, Leandro Tavares Lucato and 18 more

Abstract readMulticenter Study
In one paragraph

Article in Neuroradiology, 2025. 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
  2. Review
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

28 authors.

Stéphane KremerHôpitaux Universitaires de Strasbourg, Service d'imagerie 2, Hôpital de Hautepierre, Strasbourg, France.
Tarek A YousryNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, United Kingdom.
Rafael RehwaldNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, United Kingdom. r.rehwald@ucl.ac.uk.
François LersyHôpitaux Universitaires de Strasbourg, Service d'imagerie 2, Hôpital de Hautepierre, Strasbourg, France.
Nicolas MeyerCHU de Strasbourg, Service de Santé Publique, GMRC, Strasbourg, France.
Simonetta GereviniNeuroradiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Angela NapolitanoNeuroradiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Àlex RoviraNeuroradiology Section, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Ng KarelysNeuroradiology Section, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Leandro Tavares LucatoNeuroradiology Section, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, Brazil.
Maria da Graça Morais MartinNeuroradiology Section, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, Brazil.
Ana Lícia da Rocha Alves PintoNeuroradiology Section, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, Brazil.
Luke DixonDepartment of Neuroradiology, Imperial College Healthcare, NHS Trust, London, United Kingdom.
Brynmor JonesDepartment of Neuroradiology, Imperial College Healthcare, NHS Trust, London, United Kingdom.
Ana RamosSección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain.
Elena SalvadorSección de Neuroradiología, Hospital Universitario 12 de Octubre, Madrid, Spain.
Núria BargallóHospital Clínic de Barcelona, Barcelona, Spain.
Laura OleagaHospital Clínic de Barcelona, Barcelona, Spain.
Nicoletta AnzaloneDepartment of Neuroradiology, IRCCS San Raffaele, Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy.
Andrea FaliniDepartment of Neuroradiology, IRCCS San Raffaele, Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy.
Francesco CarlettiLysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Chandrasekhar HoskoteLysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Agathe ChammasHôpitaux Universitaires de Strasbourg, Service d'imagerie 2, Hôpital de Hautepierre, Strasbourg, France.
Benoit LhermitteHôpitaux Universitaires de Strasbourg, Service d'Anatomopathologie, Hôpital de Hautepierre, Strasbourg, France.
Béatrice LannesHôpitaux Universitaires de Strasbourg, Service d'Anatomopathologie, Hôpital de Hautepierre, Strasbourg, France.
Thibaut de MisouardMRI center, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
François CottonMRI center, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Hans Rolf JägerNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNeuroradiological findings associated with neurological presentations in acute SARS-CoV-2 infection are very heterogeneous. We aimed to develop a standardized framework for describing MR neuroimaging patterns in Covid-19, to test this in an international multicentre study and to determine the prevalence of observed MRI patterns and their association with clinical presentation and outcome.

methodsAn international expert consortium developed a framework for assessment of brain MRI patterns in Covid-19 based on published literature and professional experience. We performed a retrospective analysis of the proposed framework, involving brain MRI scans from 458 Covid-19 patients with neurological symptoms, including data from 1 February to 31 May 2020. Two readers at 25 centres across five countries assessed the local MRI studies regarding the presence of one or more predefined MRI patterns. Imaging and clinical data were analysed using Bayesian statistics.

resultsOf 458 patients, 58.5% had an abnormal MRI. Overall, 94% of all imaging pathologies seen were captured by our proposed classification. Ischemic strokes were the most frequent pattern overall (25.6%), followed by microhaemorrhages (15.9%). Ischemic infarct patterns were more frequent in non-ICU patients, while the haemorrhagic patterns were more frequent in ICU patients. White matter lesions (10.9%) were more frequent than grey matter lesions (8.1%), and leptomeningeal contrast enhancement was present in 8.3% of patients. Patient outcome was not associated with any MRI patterns.

conclusionOur proposed classification of specific MRI patterns in Covid-19, covered 94% of observed abnormalities, while patient outcome, death or home discharge, was not associated with any MRI patterns.

Indexed as

COVID-19Magnetic Resonance ImagingNervous System DiseasesNeuroimagingAdultAgedBrainFemaleHumansMaleMiddle AgedRetrospective StudiesBrain, structured reportingClassificationCovid-19MRI

Identifiers

PMID40999201
PMCPMC12743100

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Registered trials

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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.