Evidence map›Paper›PMID 34996970›Full record

Observational studyScientific reports2022

Bedside detection of intracranial midline shift using portable magnetic resonance imaging.

Kevin N Sheth, Matthew M Yuen, Mercy H Mazurek, Bradley A Cahn, Anjali M Prabhat, Sadegh Salehi, Jill T Shah, Samantha By, E Brian Welch, Michal Sofka and 17 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.5field-weighted citation impact, top 2% 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.

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

44 citing papers in PubMed, 57 citations in OpenAlex.

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  17. Portable Bedside Low-Field MRI for Assessment of Ventricular Size.AJNR. American journal of neuroradiology · 2025
    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

27 authors at 4 institutions in 1 country.

Kevin N ShethDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA. kevin.sheth@yale.edu.
Matthew M YuenDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Mercy H MazurekDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Bradley A CahnDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Anjali M PrabhatDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Sadegh SalehiHyperfine, Inc, Guilford, CT, USA.
Jill T ShahDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Samantha ByHyperfine, Inc, Guilford, CT, USA.
E Brian WelchHyperfine, Inc, Guilford, CT, USA.
Michal SofkaHyperfine, Inc, Guilford, CT, USA.
Laura I SacolickHyperfine, Inc, Guilford, CT, USA.
Jennifer A KimDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Seyedmehdi PayabvashDepartment of Neuroradiology, Yale School of Medicine, New Haven, CT, USA.
Guido J FalconeDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Emily J GilmoreDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
David Y HwangDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Charles MatoukDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.
Barbara Gordon-KunduDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Adrienne Ward RnNeuroscience Intensive Care Unit, Yale New Haven Hospital, New Haven, CT, USA.
Nils PetersenDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Joseph SchindlerDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Kevin T GobeskeDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Lauren H SansingDepartment of Neurology, Yale School of Medicine, 15 York Street, LLCI Room 1003C, P.O. Box 208018, New Haven, CT, 06520, USA.
Gordon SzeDepartment of Neuroradiology, Yale School of Medicine, New Haven, CT, USA.
Matthew S RosenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
W Taylor KimberlyDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Prantik KunduHyperfine, Inc, Guilford, CT, USA.
Yale University · USAthinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute StrokeR01EB031114 · NIBIB · YALE UNIVERSITY · PI William Taylor Kimberly, Matthew Scot Rosen · 2022 to 2026
$3.5M
Precision blood pressure management after endovascular stroke therapy based on real-time autoregulation measurementsK23NS110980 · NINDS · YALE UNIVERSITY · PI PETERSEN, NILS H. · 2020 to 2024
$951k
American Heart Association 17CSA3355004NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R01 EB031114NINDS NIH HHS K23 NS110980
6 · The paper itself

Abstract

Neuroimaging is crucial for assessing mass effect in brain-injured patients. Transport to an imaging suite, however, is challenging for critically ill patients. We evaluated the use of a low magnetic field, portable MRI (pMRI) for assessing midline shift (MLS). In this observational study, 0.064 T pMRI exams were performed on stroke patients admitted to the neuroscience intensive care unit at Yale New Haven Hospital. Dichotomous (present or absent) and continuous MLS measurements were obtained on pMRI exams and locally available and accessible standard-of-care imaging exams (CT or MRI). We evaluated the agreement between pMRI and standard-of-care measurements. Additionally, we assessed the relationship between pMRI-based MLS and functional outcome (modified Rankin Scale). A total of 102 patients were included in the final study (48 ischemic stroke; 54 intracranial hemorrhage). There was significant concordance between pMRI and standard-of-care measurements (dichotomous, κ = 0.87; continuous, ICC = 0.94). Low-field pMRI identified MLS with a sensitivity of 0.93 and specificity of 0.96. Moreover, pMRI MLS assessments predicted poor clinical outcome at discharge (dichotomous: adjusted OR 7.98, 95% CI 2.07-40.04, p = 0.005; continuous: adjusted OR 1.59, 95% CI 1.11-2.49, p = 0.021). Low-field pMRI may serve as a valuable bedside tool for detecting mass effect.

Indexed as

Magnetic Resonance ImagingPoint-of-Care SystemsPoint-of-Care TestingAgedBrainConnecticutFemaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsStroke

Identifiers

PMID34996970
PMCPMC8742125
OpenAlexW4205104743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.