Evidence map›Paper›PMID 34771448›Full record

ReviewCancers2021

Magnetic Particle Imaging: An Emerging Modality with Prospects in Diagnosis, Targeting and Therapy of Cancer.

Zhi Wei Tay, Prashant Chandrasekharan, Benjamin D Fellows, Irati Rodrigo Arrizabalaga, Elaine Yu, Malini Olivo, Steven M Conolly

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Magnetic nanoparticles for cancer theranostics.Biomedical physics & engineering express · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Machine Learning and Deep Learning Applications in Magnetic Particle Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Elucidating Iron Metabolism through Molecular Imaging.Current issues in molecular biology · 2024
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

7 authors.

Zhi Wei TayInstitute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), 11 Biopolis Way, #02-02 Helios Building, Singapore 138667, Singapore.ORCID 0000-0002-2717-0515
Prashant ChandrasekharanDepartment of Bioengineering, 340 Hearst Memorial Mining Building, University of California Berkeley, Berkeley, CA 94720-1762, USA.ORCID 0000-0002-6139-1979
Benjamin D FellowsDepartment of Bioengineering, 340 Hearst Memorial Mining Building, University of California Berkeley, Berkeley, CA 94720-1762, USA.
Irati Rodrigo ArrizabalagaDepartment of Bioengineering, 340 Hearst Memorial Mining Building, University of California Berkeley, Berkeley, CA 94720-1762, USA.ORCID 0000-0002-1790-9275
Elaine YuDepartment of Bioengineering, 340 Hearst Memorial Mining Building, University of California Berkeley, Berkeley, CA 94720-1762, USA.
Malini OlivoInstitute of Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), 11 Biopolis Way, #02-02 Helios Building, Singapore 138667, Singapore.
Steven M ConollyDepartment of Bioengineering, 340 Hearst Memorial Mining Building, University of California Berkeley, Berkeley, CA 94720-1762, USA.

Funding

Agency of Science, Technology and Research (ASTAR) Singapore BMRC Central Research Fund (CRF, UIBR) Award and CDA grant 202D800036NIH HHS NIH1R01EB024578-03, 3R01EB024578-03S1, R44EB029877-01A1 and 1R24MH106053-01
6 · The paper itself

Abstract

backgroundMagnetic Particle Imaging (MPI) is an emerging imaging modality for quantitative direct imaging of superparamagnetic iron oxide nanoparticles (SPION or SPIO). With different physics from MRI, MPI benefits from ideal image contrast with zero background tissue signal. This enables clear visualization of cancer with image characteristics similar to PET or SPECT, but using radiation-free magnetic nanoparticles instead, with infinite-duration reporter persistence in vivo. MPI for cancer imaging: demonstrated months of quantitative imaging of the cancer-related immune response with in situ SPION-labelling of immune cells (e.g., neutrophils, CAR T-cells). Because MPI suffers absolutely no susceptibility artifacts in the lung, immuno-MPI could soon provide completely noninvasive early-stage diagnosis and treatment monitoring of lung cancers. MPI for magnetic steering: MPI gradients are ~150 × stronger than MRI, enabling remote magnetic steering of magneto-aerosol, nanoparticles, and catheter tips, enhancing therapeutic delivery by magnetic means. MPI for precision therapy: gradients enable focusing of magnetic hyperthermia and magnetic-actuated drug release with up to 2 mm precision. The extent of drug release from the magnetic nanocarrier can be quantitatively monitored by MPI of SPION's MPS spectral changes within the nanocarrier.

conclusionMPI is a promising new magnetic modality spanning cancer imaging to guided-therapy.

Indexed as

magnetic drug deliverymagnetic hyperthermiamagnetic nanoparticlesmagnetic particle imaging

Identifiers

PMID34771448
PMCPMC8582440

What OpenQuestion holds

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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.