The DOI matches its Crossref record.
Contrast Agents for MR Imaging of the Liver
Abstract
A variety of different categories of contrast agents, and within each category a number of individual agents, are currently available for clinical use in magnetic resonance (MR) imaging of the liver. In this review, the use of nonspecific extracellular gadolinium chelates, reticuloendothelial system-specific iron oxide particulate agents, hepatocyte-selective agents, and combined perfusion and hepatocyte-selective agents are described. Most clinical experience is with nonspecific extracellular gadolinium chelates. The relatively low cost, safety, good patient tolerance, and ability to help detect and characterize a wide range of liver diseases have rendered gadolinium chelates as commonly used agents. Reticuloendothelial system-specific agents improve lesion detection by decreasing the signal intensity of background liver on T2-weighted MR images, which increases the conspicuity of focal hepatic lesions with negligible reticuloendothelial cells (eg, metastases). Hepatocyte-selective agents increase the signal intensity of background liver on T1-weighted images, which increases the conspicuity of focal lesions that do not contain hepatocytes (eg, metastases). The clinical application of the different categories of contrast agents, techniques for their administration, sequences to be used, and appearances of common entities on contrast agent-enhanced studies are described.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Superparamagnetic iron oxide nanoparticles: from preparations to in vivo MRI applications
Qiao, R., Yang, C., & Gao, M. (2009) · Journal of Materials Chemistry · doi:10.1039/b902394a · Cited by 685
Huppertz, A., Balzer, T., Blakeborough, A., Breuer, J., Giovagnoni, A., Heinz-Peer, G., Laniado, M., Manfredi, R. M., Mathieu, D. G., Mueller, D., et al. (2004) · Radiology · doi:10.1148/radiol.2301020269 · Cited by 396
Hu, F., Jia, Q., Li, Y., & Gao, M. (2011) · Nanotechnology · doi:10.1088/0957-4484/22/24/245604 · Cited by 147
Clinical Safety and Diagnostic Value of the Gadolinium Chelate Gadoterate Meglumine (Gd-DOTA)
Herborn, C. U., Honold, E., Wolf, M., Kemper, J., Kinner, S., Adam, G., & Barkhausen, J. (2007) · Investigative Radiology · doi:10.1097/01.rli.0000248893.01067.e5 · Cited by 126
Kotha, R., Fernandes, G., Nikam, A. N., Kulkarni, S., Pandey, A., Pandey, S., & Mutalik, S. (2020) · Materials Science and Technology · doi:10.1080/02670836.2020.1832323 · Cited by 17
Metadata
- Authors
- Semelka, R. C., & Helmberger, T. K. G.
- Venue
- Radiology
- Published
- 2001-01
- Volume
- 218
- Issue
- 1
- Pages
- 27-38
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2077309466
- Cited by
- 337
- References
- 0
- FWCI
- 13.74
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Contrast Agents for MR Imaging of the Liver. https://app.cochat.ai/papers/10.1148/radiology.218.1.r01ja2427
- The paper
- Semelka, R. C., & Helmberger, T. K. G. (2001). Contrast Agents for MR Imaging of the Liver. Radiology. https://doi.org/10.1148/radiology.218.1.r01ja2427
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.