Evidence map›Paper›PMID 39772674›Full record

ReviewScience advances2025

Advances in engineering nanoparticles for magnetic particle imaging (MPI).

Ambar C Velazquez-Albino, Eric Daniel Imhoff, Carlos M Rinaldi-Ramos

Abstract readReview
In one paragraph

Review in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
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  10. Article
  11. Review
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  13. Article
  14. Flame-Made Doped Iron Oxide Nanoparticles as Tracers for Magnetic Particle Imaging.Chemistry of materials : a publication of the American Chemical Society · 2025
    Article
  15. 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

3 authors.

Ambar C Velazquez-AlbinoDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0009-0000-5901-4288
Eric Daniel ImhoffDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-6018-6589
Carlos M Rinaldi-RamosDepartment of Chemical Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-8886-5612

Funding

NIH Administrative Supplement to Promote Diversity in Health Related ResearchR01EB031224 · NIBIB · UNIVERSITY OF FLORIDA · PI RINALDI-RAMOS, CARLOS M · 2022 to 2025
$2.4M
NIBIB NIH HHS R01 EB031224
6 · The paper itself

Abstract

Magnetic particle imaging (MPI) is an emerging imaging modality with exciting biomedical applications, such as cell tracking, blood pool imaging, and image-guided magnetic hyperthermia. MPI is unique in that signal is generated entirely by synthetic nanoparticle tracers, motivating precise engineering of magnetic nanoparticle properties including size, shape, composition, and coating to address the needs of specific applications. However, success in many applications and in clinical transition requires development of high-sensitivity and high-resolution tracers, for which there is considerable room for improvement. This review summarizes recent advancements in MPI tracer synthesis and compares reported tracers in terms of sensitivity and resolution. In making these comparisons, we point out inconsistencies in reporting of MPI tracer properties. To overcome this challenge, we propose a list of properties to standardize characterization and reporting of new MPI tracers and improve communication within the field.

Indexed as

Magnetite NanoparticlesAnimalsContrast MediaHumansMagnetic Resonance ImagingMolecular ImagingNanoparticlesContrast MediaMagnetite Nanoparticles

Identifiers

PMID39772674
PMCPMC11708890

What Socratic 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 Socratic graph.