Evidence map›Paper›PMID 28206771›Full record

ArticleNano letters2017

Magnetic Particle Imaging: A Novel in Vivo Imaging Platform for Cancer Detection.

Elaine Y Yu, Mindy Bishop, Bo Zheng, R Matthew Ferguson, Amit P Khandhar, Scott J Kemp, Kannan M Krishnan, Patrick W Goodwill, Steven M Conolly

Abstract read
In one paragraph

Article in Nano letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed
14.9field-weighted citation impact, top 1% of its field
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

126 citing papers in PubMed, 361 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Magnetic nanoparticles for cancer theranostics.Biomedical physics & engineering express · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

66 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Elaine Y YuDepartment of Bioengineering, University of California , Berkeley, California 94720, United States.ORCID 0000-0001-7361-1804
Mindy BishopDepartment of Bioengineering, University of California , Berkeley, California 94720, United States.
Bo ZhengDepartment of Bioengineering, University of California , Berkeley, California 94720, United States.
R Matthew FergusonLodespin Labs LLC, Seattle, Washington 98103, United States.
Amit P KhandharLodespin Labs LLC, Seattle, Washington 98103, United States.
Scott J KempLodespin Labs LLC, Seattle, Washington 98103, United States.
Kannan M KrishnanDepartment of Materials Science, University of Washington , Seattle, Washington 98195, United States.
Patrick W GoodwillMagnetic Insight, Inc., Alameda, California 94501, United States.
Steven M ConollyDepartment of Bioengineering, University of California , Berkeley, California 94720, United States.
University of California, Berkeley · USLodeSpin Labs (United States) · USUniversity of Washington · US

Funding

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
Magnetic Particle Imaging (MPI) for Functional Brain Imaging in HumansR24MH106053 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CONOLLY, STEVEN M, GRISWOLD, MARK · 2014 to 2016
$1.5M
Monodispersed magnetic nanoparticles for improved diagnostic imaging. Phase II: SR42EB013520 · NIBIB · LODESPIN LABS, LLC · PI KRISHNAN, KANNAN MANJAPRA · 2013 to 2014
$1.1M
Monodispersed Biocompatible Magnetic Nanoprobes for Improved Diagnostic ImagingR41EB013520 · NIBIB · LODESPIN LABS, LLC · PI KRISHNAN, KANNAN MANJAPRA · 2011 to 2011
$220k
NIBIB NIH HHS R01 EB019458NIBIB NIH HHS R41 EB013520NIBIB NIH HHS R42 EB013520NIMH NIH HHS R24 MH106053
6 · The paper itself

Abstract

Cancer remains one of the leading causes of death worldwide. Biomedical imaging plays a crucial role in all phases of cancer management. Physicians often need to choose the ideal diagnostic imaging modality for each clinical presentation based on complex trade-offs among spatial resolution, sensitivity, contrast, access, cost, and safety. Magnetic particle imaging (MPI) is an emerging tracer imaging modality that detects superparamagnetic iron oxide (SPIO) nanoparticle tracer with high image contrast (zero tissue background signal), high sensitivity (200 nM Fe) with linear quantitation, and zero signal depth attenuation. MPI is also safe in that it uses safe, in some cases even clinically approved, tracers and no ionizing radiation. The superb contrast, sensitivity, safety, and ability to image anywhere in the body lends MPI great promise for cancer imaging. In this study, we show for the first time the use of MPI for in vivo cancer imaging with systemic tracer administration. Here, long circulating MPI-tailored SPIOs were created and administered intravenously in tumor bearing rats. The tumor was highlighted with tumor-to-background ratio of up to 50. The nanoparticle dynamics in the tumor was also well-appreciated, with initial wash-in on the tumor rim, peak uptake at 6 h, and eventual clearance beyond 48 h. Lastly, we demonstrate the quantitative nature of MPI through compartmental fitting in vivo.

Indexed as

AnimalsContrast MediaFemaleMagnetic Resonance ImagingMagnetite NanoparticlesMiceNeoplasmsRatsContrast MediaMagnetite Nanoparticlescancer imagingMagnetic particle imagingmedical imagingnanoparticles

Identifiers

PMID28206771
PMCPMC5724561
OpenAlexW2588306107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.