Evidence map›Paper›PMID 23305842›Full record

ReviewJournal of magnetic resonance (San Diego, Calif. : 1997)2013

Magnetic particle imaging (MPI) for NMR and MRI researchers.

Emine U Saritas, Patrick W Goodwill, Laura R Croft, Justin J Konkle, Kuan Lu, Bo Zheng, Steven M Conolly

Open access · greenAbstract readReview
In one paragraph

Review in Journal of magnetic resonance (San Diego, Calif. : 1997), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
10.3field-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

108 citing papers in PubMed, 312 citations in OpenAlex.

  1. Article
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  3. Review
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  10. Review
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  15. Review
  16. Article
  17. Article
  18. Machine Learning and Deep Learning Applications in Magnetic Particle Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  19. Review
  20. Article

48 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

7 authors at 1 institution in 1 country.

Emine U SaritasDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720-1762, USA. saritas@berkeley.edu
Patrick W Goodwill
Laura R Croft
Justin J Konkle
Kuan Lu
Bo Zheng
Steven M Conolly
University of California, Berkeley · US

Funding

Magnetic Particle Imaging Angiography for Chronic Kidney Disease PatientsR01EB013689 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2011 to 2014
$1.6M
NIBIB NIH HHS 1R01EB013689NIBIB NIH HHS R01 EB013689
6 · The paper itself

Abstract

Magnetic Particle Imaging (MPI) is a new tracer imaging modality that is gaining significant interest from NMR and MRI researchers. While the physics of MPI differ substantially from MRI, it employs hardware and imaging concepts that are familiar to MRI researchers, such as magnetic excitation and detection, pulse sequences, and relaxation effects. Furthermore, MPI employs the same superparamagnetic iron oxide (SPIO) contrast agents that are sometimes used for MR angiography and are often used for MRI cell tracking studies. These SPIOs are much safer for humans than iodine or gadolinium, especially for Chronic Kidney Disease (CKD) patients. The weak kidneys of CKD patients cannot safely excrete iodine or gadolinium, leading to increased morbidity and mortality after iodinated X-ray or CT angiograms, or after gadolinium-MRA studies. Iron oxides, on the other hand, are processed in the liver, and have been shown to be safe even for CKD patients. Unlike the "black blood" contrast generated by SPIOs in MRI due to increased T2* dephasing, SPIOs in MPI generate positive, "bright blood" contrast. With this ideal contrast, even prototype MPI scanners can already achieve fast, high-sensitivity, and high-contrast angiograms with millimeter-scale resolutions in phantoms and in animals. Moreover, MPI shows great potential for an exciting array of applications, including stem cell tracking in vivo, first-pass contrast studies to diagnose or stage cancer, and inflammation imaging in vivo. So far, only a handful of prototype small-animal MPI scanners have been constructed worldwide. Hence, MPI is open to great advances, especially in hardware, pulse sequence, and nanoparticle improvements, with the potential to revolutionize the biomedical imaging field.

Indexed as

MagneticsAlgorithmsAnimalsContrast MediaElectromagnetic FieldsEquipment DesignFluoroscopyHumansKidney Failure, ChronicMagnetic Resonance AngiographyMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNanoparticlesStem CellsWhole Body ImagingContrast Media

Identifiers

PMID23305842
PMCPMC3602323
OpenAlexW2039708097

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.