Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 223

The DOI matches its Crossref record.

Superparamagnetic iron oxide-enhanced magnetic resonance images of hepatocellular carcinoma: Correlation with histological grading

Open access
Imai, Yasuharu, Murakami, Takamichi, Yoshida, Shigeyuki, Nishikawa, Masahiro, Ohsawa, Masahiko, Tokunaga, Koh, Murata, Masaru, Shibata, Kunitaka, Zushi, Shinichiro, Kurokawa, Masanori, Yonezawa, Takeshi, Kawata, Sumio, Takamura, Manabu, Nagano, Hiroaki, Sakon, Masato, Monden, Morito, Wakasa, Kenichi, Nakamura, Hironobu·2000·Hepatology

Abstract

Superparamagnetic iron oxide (SPIO)-enhanced magnetic resonance (MR) imaging has been used for the detection of hepatic tumors. However, little is known about this technique in relation to hepatocellular carcinoma (HCC). The aim of this study was to investigate whether SPIO-enhanced MR imaging can be useful in assessing histological grades of HCC. The authors studied histologically proven tumors including 31 HCCs and 6 dysplastic nodules. The ratio of the Kupffer-cell count in the tumorous tissue relative to that in the nontumorous tissue (Kupffer-cell-count ratio) decreased as HCCs became less well differentiated. The ratio of the intensity of the tumorous lesion to that of the nontumorous area on SPIO-enhanced MR images (SPIO intensity ratio) correlated inversely with Kupffer-cell-count ratio in HCCs and dysplastic nodules (r = −.826, P< .001) and increased as the degree of differentiation of HCCs decreased, indicating that the uptake of SPIO in HCCs decreased as the degree of differentiation of HCCs declined. All of the dysplastic nodules and some well-differentiated HCCs showed hypointense or isointense enhancement, relative to the surrounding liver parenchyma, indicating greater or similar uptake of SPIO in the tumor when compared with nontumorous areas. These results suggest that SPIO-enhanced MR imaging reflects Kupffer-cell numbers in HCCs and dysplastic nodules, and is useful for estimation of histological grading in HCCs, although uncertainties persist in differentiating dysplastic nodules from well-differentiated HCCs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1053/jhep.2000.9113

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 223

Metadata

Authors
Imai, Y., Murakami, T., Yoshida, S., Nishikawa, M., Ohsawa, M., Tokunaga, K., Murata, M., Shibata, K., Zushi, S., Kurokawa, M., Yonezawa, T., Kawata, S., Takamura, M., Nagano, H., Sakon, M., Monden, M., Wakasa, K., & Nakamura, H.
Venue
Hepatology
Published
2000-08
Volume
32
Issue
2
Pages
205-212
ISSN
0270-9139 (ISSN-L)
OpenAlex
W1988089378
Cited by
223
References
0
FWCI
4.49
Type
journal article
Language
en
Open access
bronze

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: Superparamagnetic iron oxide-enhanced magnetic resonance images of hepatocellular carcinoma: Correlation with histological grading. https://app.cochat.ai/papers/10.1053/jhep.2000.9113
The paper
Imai, Y., Murakami, T., Yoshida, S., Nishikawa, M., Ohsawa, M., Tokunaga, K., Murata, M., Shibata, K., Zushi, S., Kurokawa, M., Yonezawa, T., Kawata, S., Takamura, M., Nagano, H., Sakon, M., Monden, M., Wakasa, K., & Nakamura, H. (2000). Superparamagnetic iron oxide-enhanced magnetic resonance images of hepatocellular carcinoma: Correlation with histological grading. Hepatology. https://doi.org/10.1053/jhep.2000.9113

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.