Evidence map›Paper›PMID 27495266›Full record

ArticleMagnetic resonance in medicine2017

Imaging and quantification of iron-oxide nanoparticles (IONP) using MP-RAGE and UTE based sequences.

Wen Hong, Qun He, Shujuan Fan, Michael Carl, Hongda Shao, Jun Chen, Eric Y Chang, Jiang Du

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Impact of particle size onMagnetic resonance in medicine · 2025
    Article
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  4. Article
  5. Review
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  7. Review
  8. Topics on quantitative liver magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors.

Wen HongDepartment of Radiology, University of California, San Diego, California, USA.
Qun HeDepartment of Radiology, University of California, San Diego, California, USA.
Shujuan FanDepartment of Radiology, University of California, San Diego, California, USA.
Michael CarlApplied Science Lab, GE Healthcare, San Diego, California, USA.
Hongda ShaoDepartment of Radiology, University of California, San Diego, California, USA.
Jun ChenDepartment of Radiology, University of California, San Diego, California, USA.
Eric Y ChangDepartment of Radiology, University of California, San Diego, California, USA.
Jiang DuDepartment of Radiology, University of California, San Diego, California, USA.

Funding

Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of BoneR01AR068987 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2024
$4.9M
Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
UTE Magnetic Resonance Imaging: New Biomarkers for Multiple SclerosisR01NS092650 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2019
$1.9M
Non-invasive Morphologic and Biochemical Assessment of Tendon with Novel UTE-MRIIK2CX000749 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2012 to 2015
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CSRD VA IK2 CX000749NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NINDS NIH HHS R01 NS092650
6 · The paper itself

Abstract

purposeTo investigate two-dimensional (2D) and three-dimensional (3D) ultrashort echo time (UTE) and 3D magnetization-prepared rapid gradient-echo (MP-RAGE) sequences for the imaging of iron-oxide nanoparticles (IONP).

methodsThe phantoms were composed of tubes filled with different IONP concentrations ranging from 2 to 45 mM. The tubes were fixed in an agarose gel phantom (0.9% by weight). Morphological imaging was performed with 3D MP-RAGE, 2D UTE, 2D adiabatic inversion recovery-prepared UTE (2D IR-UTE), 3D UTE with Cones trajectory (3D Cones), and 3D IR-Cones sequences. Quantitative assessment of IONP concentration was performed using R2*(1/T2*) and R

resultsThe 3D MP-RAGE sequence provides high-contrast images of IONP with concentration up to 7.5 mM. Higher IONP concentration up to 37.5 mM can be detected with the UTE sequences, with the highest IONP contrast provided by the 3D IR-Cones sequence. A linear relationship was observed between R2* and IONP concentration up to ∼45 mM, and between R

conclusionThe clinical 3D MP-RAGE sequence can be used to assess lower IONP concentration up to 7.5 mM. The UTE sequences can be used to assess higher IONP concentration up to 45 mM. Magn Reson Med 78:226-232, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

Signal Processing, Computer-AssistedBrainDextransHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMagnetite NanoparticlesMolecular ImagingPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityDextransferumoxtran-10Magnetite NanoparticlesConesIONPiron oxide nanoparticlesMP-RAGEMRIUTE

Identifiers

PMID27495266
PMCPMC5503673

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.