The DOI matches its Crossref record.
Hepatocellular carcinoma: correlation of MR imaging and histopathologic findings.
Abstract
Seventy-two histologically proved nodular hepatocellular carcinomas (HCCs) were studied with magnetic resonance (MR) imaging at 1.5 T. Capsules were present in 56 of the 72 tumors. Thirty-seven capsules were depicted on T1-weighted spin-echo MR images, and 16 were depicted on T2-weighted MR images. Visualization was dependent on thickness and structure of the capsules. Of the 72 tumors, 36 had a mosaic pattern. A mosaic pattern was visualized in 12 of the 36 tumors on T1-weighted images and in 27 of the 36 tumors on T2-weighted images. Six tumors were determined to be histologic grade 1, and all were hyperintense on T1-weighted images, regardless of whether intracellular fat deposits were present. Four of the six grade 1 tumors were isointense on T2-weighted images. In contrast, grades 2 and 3 tumors had various signal intensities on T1-weighted images and most were hyperintense on T2-weighted images. Twenty-one of 32 tumors (66%) with focal areas of increased signal intensity on T2-weighted images had intratumoral dilated sinusoids at histologic examination.
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., Kawamura, Y., Hasegawa, K., Tateishi, R., Kariyama, K., Shiina, S., Toyoda, H., Imai, Y., Hiraoka, A., Ikeda, M., et al. (2021) · Liver Cancer · doi:10.1159/000514174 · Cited by 678
Parikh, T., Drew, S. J., Lee, V. S., Wong, S., Hecht, E. M., Babb, J. S., & Taouli, B. (2008) · Radiology · doi:10.1148/radiol.2463070432 · Cited by 560
Choi, J.-Y., Lee, J.-M., & Sirlin, C. B. (2014) · Radiology · doi:10.1148/radiol.14132362 · Cited by 526
Grazioli, L., Morana, G., Kirchin, M. A., & Schneider, G. (2005) · Radiology · doi:10.1148/radiol.2361040338 · Cited by 354
Metadata
- Authors
- Kadoya, M., Matsui, O., Takashima, T., & Nonomura, A.
- Venue
- Radiology
- Published
- 1992-06
- Volume
- 183
- Issue
- 3
- Pages
- 819-825
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2149479097
- Cited by
- 280
- References
- 0
- FWCI
- 2.97
- 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: correlation of MR imaging and histopathologic findings. https://app.cochat.ai/papers/10.1148/radiology.183.3.1316622
- The paper
- Kadoya, M., Matsui, O., Takashima, T., & Nonomura, A. (1992). Hepatocellular carcinoma: correlation of MR imaging and histopathologic findings. Radiology. https://doi.org/10.1148/radiology.183.3.1316622
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.