Evidence map›Paper›PMID 29888968›Full record

ReviewThe British journal of radiology2018

A perspective on a rapid and radiation-free tracer imaging modality, magnetic particle imaging, with promise for clinical translation.

Prashant Chandrasekharan, Zhi Wei Tay, Xinyi Yedda Zhou, Elaine Yu, Ryan Orendorff, Daniel Hensley, Quincy Huynh, K L Barry Fung, Caylin Colson VanHook, Patrick Goodwill and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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

12 authors.

Prashant Chandrasekharan1 Department of Bioengineering, University of California , Berkeley, CA , USA.ORCID http://orcid.org/0000-0002-6139-1979
Zhi Wei Tay1 Department of Bioengineering, University of California , Berkeley, CA , USA.
Xinyi Yedda Zhou1 Department of Bioengineering, University of California , Berkeley, CA , USA.
Elaine Yu2 Magnetic Insight Inc , Alameda, CA , USA.
Ryan Orendorff2 Magnetic Insight Inc , Alameda, CA , USA.
Daniel Hensley2 Magnetic Insight Inc , Alameda, CA , USA.
Quincy Huynh1 Department of Bioengineering, University of California , Berkeley, CA , USA.
K L Barry Fung1 Department of Bioengineering, University of California , Berkeley, CA , USA.
Caylin Colson VanHook1 Department of Bioengineering, University of California , Berkeley, CA , USA.
Patrick Goodwill2 Magnetic Insight Inc , Alameda, CA , USA.
Bo Zheng1 Department of Bioengineering, University of California , Berkeley, CA , USA.
Steven Conolly1 Department of Bioengineering, University of California , Berkeley, CA , USA.

Funding

In Vivo Therapeutic Cell Tracking by Advanced Magnetic Particle ImagingR01EB024578 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2017 to 2020
$2.2M
Pre-clinical quantitation of ovarian cancer tumor burden using Magnetic Particle Imaging and non-dilutive cell labelingR01EB019458 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI BELL, CALEB B., CONOLLY, STEVEN M · 2015 to 2018
$1.9M
Stem Cell Engineering Training ProgramT32GM098218 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD, SCHAFFER, DAVID V · 2011 to 2020
$1.8M
NIBIB NIH HHS R01 EB019458NIBIB NIH HHS R01 EB024578NIGMS NIH HHS T32 GM098218
6 · The paper itself

Abstract

Magnetic particle imaging (MPI), introduced at the beginning of the twenty-first century, is emerging as a promising diagnostic tool in addition to the current repertoire of medical imaging modalities. Using superparamagnetic iron oxide nanoparticles (SPIOs), that are available for clinical use, MPI produces high contrast and highly sensitive tomographic images with absolute quantitation, no tissue attenuation at-depth, and there are no view limitations. The MPI signal is governed by the Brownian and Néel relaxation behavior of the particles. The relaxation time constants of these particles can be utilized to map information relating to the local microenvironment, such as viscosity and temperature. Proof-of-concept pre-clinical studies have shown favourable applications of MPI for better understanding the pathophysiology associated with vascular defects, tracking cell-based therapies and nanotheranostics. Functional imaging techniques using MPI will be useful for studying the pathology related to viscosity changes such as in vascular plaques and in determining cell viability of superparamagnetic iron oxide nanoparticle labeled cells. In this review article, an overview of MPI is provided with discussions mainly focusing on MPI tracers, applications of translational capabilities ranging from diagnostics to theranostics and finally outline a promising path towards clinical translation.

Indexed as

Contrast MediaMagnetite NanoparticlesAngiographyBiomedical TechnologyCell TrackingHumansMagneticsNeoplasmsPerfusion ImagingSensitivity and SpecificitySpin LabelsTheranostic NanomedicineContrast MediaMagnetite NanoparticlesSpin Labels

Identifiers

PMID29888968
PMCPMC6475963

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.