ArticleMagnetic resonance in medicine2015
Quantitative contrast-enhanced MRI with superparamagnetic nanoparticles using ultrashort time-to-echo pulse sequences.
Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI.NeuroImage · 2019Pooled it
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- Neurovascular imaging with QUTE-CE MRI in APOE4 rats reveals early vascular abnormalities.PloS one · 2021Article
- Evaluating blood-brain barrier permeability in a rat model of type 2 diabetes.Journal of translational medicine · 2020Article
- Detecting sub-voxel microvasculature with USPIO-enhanced susceptibility-weighted MRI at 7 T.Magnetic resonance imaging · 2020Article
- Imaging the effect of the circadian light-dark cycle on the glymphatic system in awake rats.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Dataset on a 173 region awake resting state quantitative cerebral blood volume rat brain atlas and regional changes to cerebral blood volume under isoflurane anesthetization and COData in brief · 2018Article
- Establishing the overlap of IONP quantification with echo and echoless MR relaxation mapping.Magnetic resonance in medicine · 2018Article
- Susceptibility weighted imaging and quantitative susceptibility mapping of the cerebral vasculature using ferumoxytol.Journal of magnetic resonance imaging : JMRI · 2018Article
- The comparative effects of high fat diet or disturbed blood flow on glycocalyx integrity and vascular inflammation.Translational medicine communications · 2018Article
- Quantitative vascular neuroimaging of the rat brain using superparamagnetic nanoparticles: New insights on vascular organization and brain function.NeuroImage · 2017Article
- Quantification and biodistribution of iron oxide nanoparticles in the primary clearance organs of mice using TMagnetic resonance in medicine · 2017Article
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Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeConventional MRI using contrast agents is semiquantitative because it is inherently sensitive to extravoxular susceptibility artifacts, field inhomogeneity, partial voluming, perivascular effects, and motion/flow artifacts. Herein we demonstrate a quantitative contrast-enhanced MRI technique using ultrashort time-to-echo pulse sequences for measuring clinically relevant concentrations of ferumoxytol, a superparamagnetic iron oxide nanoparticle contrast agent with high sensitivity and precision in vitro and in vivo.
methodsThe method achieves robust, reproducible results by using rapid signal acquisition at ultrashort time-to-echo (UTE) to produce positive contrast images with pure T1 weighting and little T2* decay. The spoiled gradient echo equation is used to transform UTE intensities directly into concentration using experimentally determined relaxivity constants and image acquisition parameters.
resultsA multiparametric optimization of acquisition parameters revealed an optimal zone capable of producing high-fidelity measurements. Clinically relevant intravascular concentrations of ferumoxytol were measured longitudinally in mice with high sensitivity and precision (∼7.1% error). MRI measurements were independently validated by elemental iron analysis of sequential blood draws. Automated segmentation of ferumoxytol concentration yielded high quality three-dimensional images for visualization of perfusion.
conclusionsThis ability to longitudinally quantify blood pool CA concentration is unique to quantitative UTE contrast-enhanced (QUTE-CE) MRI and makes QUTE-CE MRI competitive with nuclear imaging.
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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.