The DOI matches its Crossref record.
Hepatocellular Carcinoma: Imaging Patterns on Gadoxetic Acid–enhanced MR Images and Their Value as an Imaging Biomarker
Abstract
PURPOSE: To investigate the patterns of imaging appearance of hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance (MR) images and to assess their potential value as prognostic markers of HCC associated with tumor recurrence after surgery. MATERIALS AND METHODS: The institutional review board approved this retrospective study and informed consent was waived. A total of 216 patients with 304 pathologically proved HCCs underwent gadoxetic acid-enhanced MR imaging prior to surgery and were included in the study. Two reviewers, blinded to the clinical data, evaluated in consensus the imaging patterns of HCC according to enhancement patterns on dynamic phase images and signal intensity on hepatobiliary phase (HBP) images. The association of imaging features with clinical-pathologic findings was evaluated by using the Student t test, χ(2) test, Mann-Whitney U test, and linear-by-linear association. The dependence of time to tumor recurrence (TTR) after surgery was evaluated by using the Kaplan-Meier method, log-rank test, and Cox proportional hazard model. RESULTS: HCCs with atypical enhancement pattern (P = .0167, P = .0450, P < .0001, respectively) and iso- to hyperintensity on HBP images (P = .0001, P = .0002, P < .0001, respectively) had smaller tumor size, lower histologic grade, and worse Child-Pugh class. The log-rank test (P = .0064) and Cox proportional hazards model (hazard ratio, 5.676; P = .0158) revealed that HCCs with iso- to hyperintensity on HBP images had significantly longer TTR than HCCs with hypointensity on HBP images. CONCLUSION: HCCs can be classified into several imaging patterns on gadoxetic acid-enhanced MR images, which are associated with tumor aggressiveness and outcome. In addition, iso- to hyperintensity on HBP images may be a useful imaging biomarker to indicate longer TTR after surgery. .
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
Kudo, M., Matsui, O., Izumi, N., Iijima, H., Kadoya, M., Imai, Y., Okusaka, T., Miyayama, S., Tsuchiya, K., Ueshima, K., et al. (2014) · Liver Cancer · doi:10.1159/000343875 · Cited by 615
Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines
Ayuso, C., Rimola, J., Vilana, R., Burrel, M., Darnell, A., García-Criado, Á., Bianchi, L., Belmonte, E., Caparroz, C., Barrufet, M., et al. (2018) · European Journal of Radiology · doi:10.1016/j.ejrad.2018.01.025 · Cited by 394
Liver-specific agents for contrast-enhanced MRI: role in oncological imaging
Thian, Y. L., Riddell, A. M., & Koh, D.-M. (2013) · Cancer Imaging · doi:10.1102/1470-7330.2013.0050 · Cited by 64
Metadata
- Authors
- Choi, J. W., Lee, J. M., Kim, S. J., Yoon, J.-H., Baek, J. H., Han, J. K., & Choi, B. I.
- Venue
- Radiology
- Published
- 2013-06
- Volume
- 267
- Issue
- 3
- Pages
- 776-786
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2122337982
- Cited by
- 177
- References
- 0
- FWCI
- 11.74
- 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: Hepatocellular Carcinoma: Imaging Patterns on Gadoxetic Acid–enhanced MR Images and Their Value as an Imaging Biomarker. https://app.cochat.ai/papers/10.1148/radiol.13120775
- The paper
- Choi, J. W., Lee, J. M., Kim, S. J., Yoon, J.-H., Baek, J. H., Han, J. K., & Choi, B. I. (2013). Hepatocellular Carcinoma: Imaging Patterns on Gadoxetic Acid–enhanced MR Images and Their Value as an Imaging Biomarker. Radiology. https://doi.org/10.1148/radiol.13120775
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.