ArticleMagnetic resonance in medicine2018
Establishing the overlap of IONP quantification with echo and echoless MR relaxation mapping.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Current Challenges in Image-Guided Magnetic Hyperthermia Therapy for Liver Cancer.Nanomaterials (Basel, Switzerland) · 2022Review
- Clinical magnetic hyperthermia requires integrated magnetic particle imaging.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022Review
- Vitrification and Rewarming of Magnetic Nanoparticle-Loaded Rat Hearts.Advanced materials technologies · 2022Article
- Cell density quantification with TurboSPI: RMagma (New York, N.Y.) · 2020Article
- Imaging the distribution of iron oxide nanoparticles in hypothermic perfused tissues.Magnetic resonance in medicine · 2020Article
- Preparation of Scalable Silica-Coated Iron Oxide Nanoparticles for Nanowarming.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Tracking Neural Progenitor Cell Migration in the Rodent Brain Using Magnetic Resonance Imaging.Frontiers in neuroscience · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeIron-oxide nanoparticles (IONPs) have shown tremendous utility for enhancing image contrast and delivering targeted therapies. Quantification of IONPs has been demonstrated at low concentrations with gradient echo (GRE) and spin echo (SE), and at high concentrations with echoless sequences such as swept imaging with Fourier transform (SWIFT). This work examines the overlap of IONP quantification with GRE, SE, and SWIFT.
methodsThe limit of quantification of GRE, SE, inversion-recovery GRE, and SWIFT sequences was assessed using IONPs at a concentration range of 0.02 to 89.29 mM suspended in 1% agarose. Empirically derived limits of quantification were compared with International Union of Pure and Applied Chemistry definitions. Both commercial and experimental IONPs were used.
resultsAll three IONPs assessed demonstrated an overlap of concentration quantification with GRE, SE, and SWIFT sequences. The largest dynamic range observed was 0.004 to 35.7 mM with Feraheme.
conclusionsThe metrics established allow upper and lower quantitative limitations to be estimated given the relaxivity characteristics of the IONP and the concentration range of the material to be assessed. The methods outlined in this paper are applicable to any pulse sequence, IONP formulation, and field strength. Magn Reson Med 79:1420-1428, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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