Evidence map›Paper›PMID 28097749›Full record

ArticleMagnetic resonance in medicine2017

Positive contrast from cells labeled with iron oxide nanoparticles: Quantitation of imaging data.

Sergey Magnitsky, Jinjin Zhang, Djaudat Idiyatullin, Geetha Mohan, Michael Garwood, Nancy E Lane, Sharmila Majumdar

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. High-resolution 3D ultra-short echo time MRI with Rosette k-space pattern for brain iron content mapping.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2023
    Article
  2. MRI of Lymphedema.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  3. 3DFrontiers in cell and developmental biology · 2021
    Article
  4. Magnetic iron oxide nanoparticles for imaging, targeting and treatment of primary and metastatic tumors of the brain.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Review
  5. Review
  6. Article
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Sergey MagnitskyMusculoskeletal Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Jinjin ZhangCenter for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Djaudat IdiyatullinCenter for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Geetha MohanCenter for Musculoskeletal Health, University of California at Davis School of Medicine, Sacramento, California, USA.
Michael GarwoodCenter for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Nancy E LaneCenter for Musculoskeletal Health, University of California at Davis School of Medicine, Sacramento, California, USA.
Sharmila MajumdarMusculoskeletal Quantitative Imaging Research, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Resonance Research (United States) · USQB3 · USUniversity of California, San Francisco · US

Funding

NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SOUZA, RICHARD BRIAN · 2011 to 2015
$6.2M
3D IN VIVO MORPHOMETRY OF TRABECULAR MICROSTRUCTURER01AR043052 · NIAMS · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI LANE, NANCY E · 1995 to 2014
$5.0M
Midcareer Investigator Award Patient-Oriented ResearchK24AR048841 · NIAMS · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI LANE, NANCY E · 2002 to 2013
$1.4M
Development of in vivo MR Imaging Technique for Monitoring Mesenchymal Stem Cell Therapy for Bone PathologiesR21AR068507 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAGNITSKY, SERGEY G · 2016 to 2017
$321k
NIAMS NIH HHS K24 AR048841NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR043052NIAMS NIH HHS R21 AR068507NIBIB NIH HHS P41 EB015894
6 · The paper itself

Abstract

purposeConventional T

methodsMesenchymal stem cells (MSCs) were labeled with different concentrations of iron oxide particles and examined for cell viability, proliferation, and differentiation. The SWIFT sequence was optimized to detect and quantify the amount of iron in the muscle tissue after injection of iron oxide solution and iron-labeled MSCs.

resultsThe incubation of MSCs with iron oxide and low concentration of poly-L-lysine mixture resulted in an internalization of up to 22 pg of iron per cell with no adverse effect on MSCs. Phantom experiments showed a dependence of SWIFT signal intensity on the excitation flip angle. The hyperintense signal from iron-labeled cells or solutions was detected, and an amount of the iron oxide in the tissue was quantified with the variable flip angle method.

conclusionsThe SWIFT sequence can produce a quantifiable hyperintense MRI signal from iron-labeled cells. The graft of 18 x 10

Indexed as

Contrast MediaMagnetite NanoparticlesAnimalsCells, CulturedCell SurvivalCell TrackingImage Processing, Computer-AssistedMagnetic Resonance ImagingMesenchymal Stem CellsMesenchymal Stem Cell TransplantationMicePhantoms, ImagingSignal Processing, Computer-AssistedContrast MediaMagnetite Nanoparticlescell trackinghypointense signal intensityiron oxidepositive contrastSWIFT

Identifiers

PMID28097749
PMCPMC5513790
OpenAlexW2578951258

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.