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Superparamagnetic Iron Oxide Nanoparticles: Diagnostic Magnetic Resonance Imaging and Potential Therapeutic Applications in Neurooncology and Central Nervous System Inflammatory Pathologies, a Review
Open accessAbstract
Superparamagnetic iron oxide nanoparticles have diverse diagnostic and potential therapeutic applications in the central nervous system (CNS). They are useful as magnetic resonance imaging (MRI) contrast agents to evaluate: areas of blood-brain barrier (BBB) dysfunction related to tumors and other neuroinflammatory pathologies, the cerebrovasculature using perfusion-weighted MRI sequences, and in vivo cellular tracking in CNS disease or injury. Novel, targeted, nanoparticle synthesis strategies will allow for a rapidly expanding range of applications in patients with brain tumors, cerebral ischemia or stroke, carotid atherosclerosis, multiple sclerosis, traumatic brain injury, and epilepsy. These strategies may ultimately improve disease detection, therapeutic monitoring, and treatment efficacy especially in the context of antiangiogenic chemotherapy and antiinflammatory medications. The purpose of this review is to outline the current status of superparamagnetic iron oxide nanoparticles in the context of biomedical nanotechnology as they apply to diagnostic MRI and potential therapeutic applications in neurooncology and other CNS inflammatory conditions.
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“Many iron oxide nanoparticles have been evaluated in preclinical and clinical trials, and several of them have reached the market (Table 1) [4, 22–26].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [23]
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Metadata
- Authors
- Weinstein, J. S., Varallyay, C. G., Dosa, E., Gahramanov, S., Hamilton, B., Rooney, W. D., Muldoon, L. L., & Neuwelt, E. A.
- Affiliations
- Oregon Health & Science University (US)
- Department of Neurology, Oregon Health and Science University, Portland, Oregon, USA
- Corresponding author
- Neuwelt, Edward A
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2009-09-16
- Volume
- 30
- Issue
- 1
- Pages
- 15-35
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- PMC
- PMC2949106
- OpenAlex
- W2059756358
- Cited by
- 500
- References
- 126
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 21 · 2023: 24 · 2022: 21 · 2021: 20 · 2020: 18 · 2019: 32 · 2018: 41 · 2017: 37 · 2016: 33 · 2015: 41 · 2014: 41 · 2013: 51 · 2012: 41
- FWCI
- 2.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (NS 33618, R01NS053468, NS053468, R37NS044687, NS34608, R01NS033618, R01NS044687, R01NS034608, NS-44687)
- National Institute of Biomedical Imaging and Bioengineering (R01EB007258)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Keywords
- superparamagnetic iron oxide nanoparticles, MRI contrast agents, neuro-oncology, brain tumors, blood-brain barrier dysfunction, neuroinflammation, perfusion-weighted MRI, cerebrovascular imaging, cell tracking, cerebral ischemia, stroke, carotid atherosclerosis, multiple sclerosis, traumatic brain injury, epilepsy, anti-inflammatory therapy, nanomedicine
- MeSH terms
- Animals, Blood-Brain Barrier, Contrast Media, Electron Spin Resonance Spectroscopy, Ferric Compounds, Humans, Inflammation, Magnetic Resonance Imaging, Particle Size, Central Nervous System Neoplasms, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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