Evidence map›Paper›PMID 38865448›Full record

ArticleScience advances2024

Wireless, customizable coaxially shielded coils for magnetic resonance imaging.

Ke Wu, Xia Zhu, Stephan W Anderson, Xin Zhang

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. A Near-Field Coupling Array Enables Parallel Imaging and SNR Gain in MRI.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  8. Article
  9. Metamaterial-Enabled Hybrid Receive Coil for Enhanced Magnetic Resonance Imaging Capabilities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. 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

4 authors.

Ke WuDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-0243-3697
Xia ZhuDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Stephan W AndersonPhotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-5367-7459
Xin ZhangDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-4413-5084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anatomy-specific radio frequency receive coil arrays routinely adopted in magnetic resonance imaging (MRI) for signal acquisition are commonly burdened by their bulky, fixed, and rigid configurations, which may impose patient discomfort, bothersome positioning, and suboptimal sensitivity in certain situations. Herein, leveraging coaxial cables' inherent flexibility and electric field confining property, we present wireless, ultralightweight, coaxially shielded, passive detuning MRI coils achieving a signal-to-noise ratio comparable to or surpassing that of commercially available cutting-edge receive coil arrays with the potential for improved patient comfort, ease of implementation, and substantially reduced costs. The proposed coils demonstrate versatility by functioning both independently in form-fitting configurations, closely adapting to relatively small anatomical sites, and collectively by inductively coupling together as metamaterials, allowing for extension of the field of view of their coverage to encompass larger anatomical regions without compromising coil sensitivity. The wireless, coaxially shielded MRI coils reported herein pave the way toward next-generation MRI coils.

Indexed as

Magnetic Resonance ImagingWireless TechnologyEquipment DesignHumansPhantoms, ImagingSignal-To-Noise Ratio

Identifiers

PMID38865448
PMCPMC11168459

What OpenQuestion holds

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LicenceCC BY-NC
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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.