2021
DOI: 10.3348/kjr.2020.1455
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Investigation of the Characteristics of New, Uniform, Extremely Small Iron-Based Nanoparticles as T1 Contrast Agents for MRI

Abstract: Objective:The purpose of this study was to evaluate the magnetic resonance (MR) characteristics and applicability of new, uniform, extremely small iron-based nanoparticles (ESIONs) with 3-4-nm iron cores using contrast-enhanced magnetic resonance angiography (MRA). Materials and Methods: Seven types of ESIONs were used in phantom and animal experiments with 1.5T, 3T, and 4.7T scanners. The MR characteristics of the ESIONs were evaluated via phantom experiments. With the ESIONs selected by the phantom experimen… Show more

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Cited by 3 publications
(2 citation statements)
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“…Additionally, relaxivity tends to decrease with increasing magnetic field strength. Studies indicate that the change in r1 relaxivity of ESIONs from 1.5T to 3T is approximately a 10–30% decrease [ 38 ]. Therefore, it is anticipated that the r1 relaxivity of our encapsulated ESIONs might be around 2 to 3 mM − 1s − 1 at 3T.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, relaxivity tends to decrease with increasing magnetic field strength. Studies indicate that the change in r1 relaxivity of ESIONs from 1.5T to 3T is approximately a 10–30% decrease [ 38 ]. Therefore, it is anticipated that the r1 relaxivity of our encapsulated ESIONs might be around 2 to 3 mM − 1s − 1 at 3T.…”
Section: Resultsmentioning
confidence: 99%
“…Among the nanomaterials used as magnetic sensitizers, IONPs have been extensively studied because of their high longitudinal and transverse relaxation values, superior imaging performance, and low cytotoxicity [ 111 ]. Numerous works have confirmed that iron oxide nanoparticles have promising applications as MRI T1/T2/T2∗ contrast agents [ [112] , [113] , [114] ]. IONPs can enhance the cellular internalization of tumor cells and active phagocytes to improve the visualization of intracranial tumors within healthy brain tissue and slow down the clearance of tumor sites [ 115 ] so as to better depict glioma boundaries [ 116 ].…”
Section: Diagnostic Strategies For Glioma Based On Inpsmentioning
confidence: 99%