Evidence map›Paper›PMID 37705717›Full record

ArticleNature reviews bioengineering2023

Brain imaging with portable low-field MRI.

W Taylor Kimberly, Annabel J Sorby-Adams, Andrew G Webb, Ed X Wu, Rachel Beekman, Ritvij Bowry, Steven J Schiff, Adam de Havenon, Francis X Shen, Gordon Sze and 4 more

Abstract read
In one paragraph

Article in Nature reviews bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

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14 more citing papers are in PubMed but not listed here.

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

14 authors.

W Taylor KimberlyDepartment of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-2519-8530
Annabel J 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
Andrew G WebbDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Ed X WuLaboratory of Biomedical Imaging and Signal Processing, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.
Rachel BeekmanDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, Yale Center for Brain & Mind Health, New Haven, CT, USA.
Ritvij BowryDepartments of Neurosurgery and Neurology, McGovern Medical School, University of Texas Health Neurosciences, Houston, TX, USA.
Steven J SchiffDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT, USA.
Adam de HavenonDivision of Vascular Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, USA.
Francis X ShenHarvard Medical School Center for Bioethics, Harvard law School, Boston, MA, USA.
Gordon SzeDepartment of Radiology, Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, USA.
Pamela SchaeferDivision of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Juan Eugenio IglesiasAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Matthew S RosenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7194-002X
Kevin N ShethDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale New Haven Hospital and Yale School of Medicine, Yale Center for Brain & Mind Health, New Haven, CT, USA.ORCID 0000-0003-2003-5473

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
Endoscopic versus Shunt Treatment of Hydrocephalus in InfantsU01NS107486 · NINDS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Richard Holubkov, John Kestle · 2019 to 2026
$9.6M
Predictive Personalized Public Health (P3H): A Novel Paradigm to Treat Infectious DiseaseR01AI145057 · NIAID · YALE UNIVERSITY · PI SCHIFF, STEVEN J · 2018 to 2022
$8.1M
Intracranial multimodal physiological monitoring in acute brain injuryUG3NS123307 · NINDS · YALE UNIVERSITY · PI SPENCER, DENNIS D, ZAVERI, HITTEN P · 2022 to 2024
$5.6M
Neurocognitive outcomes and changes in brain and CSF volume after treatment of post-infectious hydrocephalus in Ugandan infants by shunting or ETV/CPC: a randomized prospective trialR01HD085853 · NICHD · YALE UNIVERSITY · PI KULKARNI, ABHAYA V, SCHIFF, STEVEN JOHN · 2015 to 2025
$4.7M
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
Improving infant hydrocephalus outcomes in Uganda: Predicting developmental outcomes and identifying patients at risk for early treatment failure after ETV/CPCR01HD096693 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI LIN, PEI-YI, WARF, BENJAMIN CURTIS · 2018 to 2022
$2.8M
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
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
Highly Portable and Cloud-Enabled Neuroimaging Research: Confronting Ethics Challenges in Field Research with New PopulationsRF1MH123698 · NIMH · UNIVERSITY OF MINNESOTA · PI LAWRENZ, FRANCES PATRICIA, SHEN, FRANCIS X · 2020 to 2020
$1.6M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI145057NIA NIH HHS R01 AG070988NIBIB NIH HHS R01 EB031114NICHD NIH HHS R01 HD085853NICHD NIH HHS R01 HD096693NIMH NIH HHS RF1 MH123195NIMH NIH HHS RF1 MH123698NIMH NIH HHS UM1 MH130981NINDS NIH HHS U01 NS107486NINDS NIH HHS UG3 NS123307
6 · The paper itself

Abstract

The advent of portable, low-field MRI (LF-MRI) heralds new opportunities in neuroimaging. Low power requirements and transportability have enabled scanning outside the controlled environment of a conventional MRI suite, enhancing access to neuroimaging for indications that are not well suited to existing technologies. Maximizing the information extracted from the reduced signal-to-noise ratio of LF-MRI is crucial to developing clinically useful diagnostic images. Progress in electromagnetic noise cancellation and machine learning reconstruction algorithms from sparse

Identifiers

PMID37705717
PMCPMC10497072

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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.