Evidence map›Paper›PMID 38738750›Full record

ArticleAnnals of neurology2024

Diffusion-Weighted Imaging Fluid-Attenuated Inversion Recovery Mismatch on Portable, Low-Field Magnetic Resonance Imaging Among Acute Stroke Patients.

Annabel Sorby-Adams, Jennifer Guo, Adam de Havenon, Seyedmehdi Payabvash, Gordon Sze, Nandor K Pinter, Vinay Jaikumar, Adnan Siddiqui, Steven Baldassano, Ana-Lucia Garcia-Guarniz and 16 more

Abstract read
In one paragraph

Article in Annals of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  11. Review
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  14. Portable Ultra-Low-Field MRI in Outpatient Neurology: An Examination of Clinical Performance and Patient Experience.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
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

26 authors.

Annabel Sorby-AdamsDepartment of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1648-3898
Jennifer GuoDepartment of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Adam de HavenonDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT, USA.
Seyedmehdi PayabvashDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Gordon SzeDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Nandor K PinterDepartment of Radiology, Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
Vinay JaikumarDepartment of Neurosurgery, Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
Adnan SiddiquiDepartment of Neurosurgery, Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
Steven BaldassanoDivision of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Ana-Lucia Garcia-GuarnizDepartment of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Julia ZabinskaDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT, USA.
Dheeraj LalwaniDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT, USA.
Emma PeasleyDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT, USA.
Joshua N GoldsteinDepartment of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Olivia K NelsonDepartment of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Pamela W SchaeferDivision of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Charles R WiraDepartment of Emergency Medicine, Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, USA.
John PittsHyperfine Incorporated, Guilford, CT, USA.
Vivien LeeWexner Medical Center, Ohio State University, Columbus, OH, USA.
Keith W MuirSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.
Shahid M NimjeeWexner Medical Center, Ohio State University, Columbus, OH, USA.
John KirschAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Juan Eugenio IglesiasAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Matthew S RosenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7194-002X
Kevin N ShethDepartment of Neurology, Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0003-2003-5473
W Taylor KimberlyDepartment of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

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
Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
Acquisition-independent machine learning for morphometric analysis of underrepresented aging populations with clinical and low-field brain MRIRF1AG080371 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Juan Eugenio Iglesias Gonzalez · 2023 to 2026
$4.0M
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
Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanningR01AG070988 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI IGLESIAS GONZALEZ, JUAN EUGENIO · 2021 to 2025
$2.7M
Blood Pressure Variability and Ischemic Stroke Outcome (BP-VISO)R01NS130189 · NINDS · YALE UNIVERSITY · PI Adam H. de Havenon · 2023 to 2026
$2.0M
Open-source software for multi-scale mapping of the human brainRF1MH123195 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, IGLESIAS GONZALEZ, JUAN EUGENIO · 2020 to 2020
$2.0M
CAPTIVA-MRIUG3NS130228 · NINDS · YALE UNIVERSITY · PI AMIN-HANJANI, SEPIDEH, CHATTERJEE, ARINDAM R. · 2023 to 2023
$1.9M
Treatment Targets for Inflamed Intracranial Atherosclerosis on Vessel Wall MRIK23NS105924 · NINDS · YALE UNIVERSITY · PI DE HAVENON, ADAM H. · 2019 to 2023
$988k
American Heart Association and Tedy's Team Postdoctoral FellowshipFulbright Postdoctoral FellowshipNCATS NIH HHS UL1 TR001863NIA NIH HHS R01 AG070988NIA NIH HHS RF1 AG080371NIBIB NIH HHS R01 EB031114NIH HHS K23NS105924NIH HHS R01NS130189NIH HHS UG3NS130228NIMH NIH HHS RF1 MH123195NIMH NIH HHS UM1 MH130981NINDS NIH HHS K23 NS105924NINDS NIH HHS R01 NS130189NINDS NIH HHS UG3 NS130228
6 · The paper itself

Abstract

objectiveFor stroke patients with unknown time of onset, mismatch between diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) can guide thrombolytic intervention. However, access to MRI for hyperacute stroke is limited. Here, we sought to evaluate whether a portable, low-field (LF)-MRI scanner can identify DWI-FLAIR mismatch in acute ischemic stroke.

methodsEligible patients with a diagnosis of acute ischemic stroke underwent LF-MRI acquisition on a 0.064-T scanner within 24 h of last known well. Qualitative and quantitative metrics were evaluated. Two trained assessors determined the visibility of stroke lesions on LF-FLAIR. An image coregistration pipeline was developed, and the LF-FLAIR signal intensity ratio (SIR) was derived.

resultsThe study included 71 patients aged 71 ± 14 years and a National Institutes of Health Stroke Scale of 6 (interquartile range 3-14). The interobserver agreement for identifying visible FLAIR hyperintensities was high (κ = 0.85, 95% CI 0.70-0.99). Visual DWI-FLAIR mismatch had a 60% sensitivity and 82% specificity for stroke patients <4.5 h, with a negative predictive value of 93%. LF-FLAIR SIR had a mean value of 1.18 ± 0.18 <4.5 h, 1.24 ± 0.39 4.5-6 h, and 1.40 ± 0.23 >6 h of stroke onset. The optimal cut-point for LF-FLAIR SIR was 1.15, with 85% sensitivity and 70% specificity. A cut-point of 6.6 h was established for a FLAIR SIR <1.15, with an 89% sensitivity and 62% specificity.

interpretationA 0.064-T portable LF-MRI can identify DWI-FLAIR mismatch among patients with acute ischemic stroke. Future research is needed to prospectively validate thresholds and evaluate a role of LF-MRI in guiding thrombolysis among stroke patients with uncertain time of onset. ANN NEUROL 2024;96:321-331.

Indexed as

Diffusion Magnetic Resonance ImagingIschemic StrokeAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedStroke

Identifiers

PMID38738750
PMCPMC11293843

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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.