Evidence map›Paper›PMID 38462584›Full record

ArticleNeuroradiology2024

2.5-Minute Fast Brain MRI with Multiple Contrasts in Acute Ischemic Stroke.

Annika Kits, Jonathan Al-Saadi, Francesca De Luca, Fredrik Janzon, Michael V Mazya, Johan Lundberg, Tim Sprenger, Stefan Skare, Anna Falk Delgado

Abstract read
In one paragraph

Article in Neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

9 authors.

Annika KitsDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. annika.kits@regionstockholm.se.ORCID http://orcid.org/0000-0003-3737-3161
Jonathan Al-SaadiDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8832-7176
Francesca De LucaDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7131-3248
Fredrik JanzonDepartment of Neuroradiology, Karolinska University Hospital, Solna, 17176, Stockholm, Sweden.
Michael V MazyaDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0377-3506
Johan LundbergDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2379-8695
Tim SprengerDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7037-8605
Stefan SkareDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5403-2153
Anna Falk DelgadoDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4389-5089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the performance of a 2.5-minute multi-contrast brain MRI sequence (NeuroMix) in diagnosing acute cerebral infarctions.

methodsAdult patients with a clinical suspicion of acute ischemic stroke were retrospectively included. Brain MRI at 3 T included NeuroMix and routine clinical MRI (cMRI) sequences, with DWI/ADC, T2-FLAIR, T2-weighted, T2*, SWI-EPI, and T1-weighted contrasts. Three radiologists (R1-3) independently assessed NeuroMix and cMRI for the presence of acute infarcts (DWI ↑, ADC = or ↓) and infarct-associated abnormalities on other image contrasts. Sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) were calculated and compared using DeLong's test. Inter- and intra-rater agreements were studied with kappa statistics. Relative DWI (rDWI) and T2-FLAIR (rT2-FLAIR) signal intensity for infarctions were semi-automatically rendered, and the correlation between methods was evaluated.

resultsAccording to the reference standard, acute infarction was present in 34 out of 44 (77%) patients (63 ± 17 years, 31 men). Other infarct-associated signal abnormalities were reported in similar frequencies on NeuroMix and cMRI (p > .08). Sensitivity for infarction detection was 94%, 100%, and 94% evaluated by R1, R2, R3, for NeuroMix and 94%, 100%, and 100% for cMRI. Specificity was 100%, 90%, and 100% for NeuroMix and 100%, 100%, and 100% for cMRI. AUC for NeuroMix was .97, .95, and .97 and .97, 1, and 1 for cMRI (DeLong p = 1, .32, .15), respectively. Inter- and intra-rater agreement was κ = .88-1. The correlation between NeuroMix and cMRI was R = .73 for rDWI and R = .83 for rT2-FLAIR.

conclusionFast multi-contrast MRI NeuroMix has high diagnostic performance for detecting acute cerebral infarctions.

Indexed as

Brain IschemiaIschemic StrokeStrokeAcute DiseaseAdultBrainCerebral InfarctionDiffusion Magnetic Resonance ImagingHumansInfarctionMagnetic Resonance ImagingMaleRetrospective StudiesDiagnostic performanceDWI/T2-FLAIR mismatchFast imagingIschemic strokeMulti-contrast MRINeuroMix

Identifiers

PMID38462584
PMCPMC11031482

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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.