Evidence map›Paper›PMID 40287777›Full record

ReviewMilitary Medical Research2025

Exploring the diagnostic potential: magnetic particle imaging for brain diseases.

Li-Shuang Guo, Yu An, Ze-Yu Zhang, Chen-Bin Ma, Jia-Qian Li, Zhen Dong, Jie Tian, Zhen-Yu Liu, Jian-Gang Liu

Abstract readReview
In one paragraph

Review in Military Medical Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Multifunctional Magnetic Resonance Imaging Probes.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  7. Review
  8. Review
  9. Review
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

9 authors.

Li-Shuang Guo *School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Yu An *School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Ze-Yu Zhang *School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Chen-Bin MaSchool of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Jia-Qian LiSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Zhen DongSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Jie TianSchool of Engineering Medicine, Beihang University, Beijing, 100191, China. tian@ieee.org.
Zhen-Yu LiuCAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100191, China. zhenyu.liu@ia.ac.cn.
Jian-Gang LiuSchool of Engineering Medicine, Beihang University, Beijing, 100191, China. jgliu@buaa.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain diseases are characterized by high incidence, disability, and mortality rates. Their elusive nature poses a significant challenge for early diagnosis. Magnetic particle imaging (MPI) is a novel imaging technique with high sensitivity, high temporal resolution, and no ionizing radiation. It relies on the nonlinear magnetization response of superparamagnetic iron oxide nanoparticles (SPIONs), allowing visualization of the spatial concentration distribution of SPIONs in biological tissues. MPI is expected to become a mainstream technology for the early diagnosis of brain diseases, such as cancerous, cerebrovascular, neurodegenerative, and inflammatory diseases. This review provides an overview of the principles of MPI, explores its potential applications in brain diseases, and discusses the prospects for the diagnosis and management of these diseases.

Indexed as

Brain DiseasesDiagnostic ImagingBrainHumansMagnetic Resonance ImagingMagnetite NanoparticlesMagnetite NanoparticlesBrain diseasesEarly diagnosisMagnetic particle imaging

Identifiers

PMID40287777
PMCPMC12034128

What OpenQuestion holds

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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.