The DOI matches its Crossref record.
Imaging of Hepatic Steatosis
Abstract
Hepatic steatosis is a common finding encountered during cross-sectional imaging examinations. This article reviews the imaging findings of hepatic steatosis as revealed by sonography, computed tomography, magnetic resonance imaging, and magnetic resonance spectroscopy. Focal fatty sparing and focal hepatic steatosis are conditions that can create potential diagnostic challenges for the radiologist. The typical findings, distribution, and etiology of these focal processes are presented. In the setting of diffuse hepatic steatosis, hepatic mass lesions can be difficult to discern on both computed tomography and sonography, with reported decreased sensitivity and specificity of lesion detection. In such cases, magnetic resonance imaging may be the imaging procedure of choice for the detection and characterization of both hepatic steatosis and coexistent hepatic masses. Some hepatocellular neoplasms, particularly hepatic adenoma and well-differentiated hepatocellular carcinoma, can have intratumoral lipid. By demonstrating the lipid content of these masses, imaging can add specificity in characterizing them as hepatocellular in origin because nonhepatocellular neoplasms in general do not contain intracellular lipid.
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
The utility of radiological imaging in nonalcoholic fatty liver disease
Saadeh, S., Younossi, Z. M., Remer, E. M., Gramlich, T., Ong, J. P., Hurley, M., Mullen, K. D., Cooper, J. N., & Sheridan, M. J. (2002) · Gastroenterology · doi:10.1053/gast.2002.35354 · Cited by 2,110
Assessing Adiposity: A Scientific Statement From the American Heart Association
Cornier, M.-A., Després, J.-P., Davis, N., Grossniklaus, D. A., Klein, S., Lamarche, B., Lopez-Jimenez, F., Rao, G., St-Onge, M.-P., Towfighi, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318233bc6a · Cited by 945
Ryan, C. K., Johnson, L. A., Germin, B. I., & Marcos, A. (2002) · Liver Transplantation · doi:10.1053/jlts.2002.36740 · Cited by 326
Mirza, M. S. (2011) · ISRN Gastroenterology · doi:10.5402/2011/592404 · Cited by 148
Treatment of non-alcoholic fatty liver disease.
(2007) · PubMed Central · Cited by 118
Metadata
- Authors
- Siegelman, E. S., & Rosen, M. A.
- Venue
- Seminars in Liver Disease
- Publisher
- Georg Thieme Verlag KG
- Published
- 2001
- Volume
- 21
- Issue
- 01
- Pages
- 071-080
- ISSN
- 0272-8087 (ISSN-L)
- 1098-8971
- OpenAlex
- W2023823431
- Cited by
- 208
- References
- 0
- FWCI
- 7.84
- 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: Imaging of Hepatic Steatosis. https://app.cochat.ai/papers/10.1055/s-2001-12930
- The paper
- Siegelman, E. S., & Rosen, M. A. (2001). Imaging of Hepatic Steatosis. Seminars in Liver Disease. https://doi.org/10.1055/s-2001-12930
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.