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Cited by 356

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Chemical Exchange Saturation Transfer Contrast Agents for Magnetic Resonance Imaging

Open access
Sherry, A. Dean, Woods, Mark·2008·Annual Review of Biomedical Engineering

Abstract

Magnetic resonance imaging (MRI) contrast agents have become an important tool in clinical medicine. The most common agents are Gd 3+-based complexes that shorten bulk water T 1 by rapid exchange of a single inner-sphere water molecule with bulk solvent water. Current gadolinium agents lack tissue specificity and typically do not respond to their chemical environment. Recently, it has been demonstrated that MR contrast may be altered by an entirely different mechanism based on chemical exchange saturation transfer (CEST). CEST contrast can originate from exchange of endogenous amide or hydroxyl protons or from exchangeable sites on exogenous CEST agents. This has opened the door for the discovery of new classes of responsive agents ranging from MR gene reporter molecules to small molecules that sense their tissue environment and respond to biological events.

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Crossref · 10.1146/annurev.bioeng.9.060906.151929

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Metadata

Authors
Sherry, A. D., & Woods, M.
Venue
Annual Review of Biomedical Engineering
Published
2008-08-01
Volume
10
Issue
1
Pages
391-411
ISSN
  • 1523-9829 (ISSN-L)
  • 1545-4274
OpenAlex
W2130291666
Cited by
356
References
1
FWCI
1.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Chemical Exchange Saturation Transfer Contrast Agents for Magnetic Resonance Imaging. https://app.cochat.ai/papers/10.1146/annurev.bioeng.9.060906.151929
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Sherry, A. D., & Woods, M. (2008). Chemical Exchange Saturation Transfer Contrast Agents for Magnetic Resonance Imaging. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev.bioeng.9.060906.151929

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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.