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Cited by 371

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Superparamagnetic Agents in Magnetic Resonance Imaging: Physicochemical Characteristics and Clinical Applications A Review

Bonnemain, Bruno·1998·Journal of Drug Targeting

Abstract

Superparamagnetic agents in magnetic resonance imaging: physico-chemical characteristics and clinical applications. Superparamagnetic agents have been the subject of extensive research over the last decade. They consist of iron oxide nanoparticles which are highly effective in Magnetic Resonance Imaging (MRI). The particle size varies widely and influences their physicochemical and pharmacokinetic properties. Their main present and future applications by the parenteral route are: imaging of gastrointestinal tract, liver and spleen, lymph nodes. Ultrasmall superparamagnetic iron oxide particles (USPIO) are also blood pool agents which could be used for perfusion imaging (i.e. brain or myocardial ischemic diseases) as well as for imaging of vessels in Magnetic Resonance Angiography. These agents open up an important field of research into more specific agents adapted to clinicians' needs in diagnostic imaging.

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Metadata

Authors
Bonnemain, B.
Venue
Journal of Drug Targeting
Published
1998-01
Volume
6
Issue
3
Pages
167-174
ISSN
  • 1026-7158 (ISSN-L)
  • 1061-186X
  • 1029-2330
OpenAlex
W2139451172
Cited by
371
References
22
FWCI
2.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Superparamagnetic Agents in Magnetic Resonance Imaging: Physicochemical Characteristics and Clinical Applications A Review. https://app.cochat.ai/papers/10.3109/10611869808997890
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Bonnemain, B. (1998). Superparamagnetic Agents in Magnetic Resonance Imaging: Physicochemical Characteristics and Clinical Applications A Review. Journal of Drug Targeting. https://doi.org/10.3109/10611869808997890

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.