Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record.

Clinical results with Resovist: a phase 2 clinical trial.

Reimer, P, Rummeny, E J, Daldrup, H E, Balzer, T, Tombach, B, Berns, T, Peters, P E·1995·Radiology

Abstract

PURPOSE: To investigate the superparamagnetic iron oxide (Resovist) designed for contrast material-enhanced magnetic resonance imaging of the liver. MATERIALS AND METHODS: A phase 2 trial was performed in 33 patients with no more than five known focal solid liver lesions. Resovist was administered intravenously at doses of 4, 8, and 16 mumol of iron per kilogram of body weight. Postcontrast 1.0-T imaging was started 30 minutes after injection. RESULTS: Resovist significantly (P < or = .05) decreased liver signal intensity and increased lesion-to-liver contrast-to-noise ratio (C/N) and the number of detectable liver lesions: fast spin-echo (SE) (echo time, 90 msec) precontrast C/N, 11.7 +/- 7.9 [standard deviation]; postcontrast [8-mumol Fe/Kg] C/N, 29.2 +/- 14.2). The dose of 8 mumol Fe/kg was sufficient for the detection of focal liver lesions, and T2-weighted fast SE with an echo time of 90 msec was the overall best pulse sequence. CONCLUSION: Resovist is a safe contrast agent, and a dose of 8 mumol Fe/kg is sufficient to enhance detection of focal liver lesions at T2-weighted fast SE MR imaging.

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 · 10.1148/radiology.195.2.7724772

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

Metadata

Authors
Reimer, P., Rummeny, E. J., Daldrup, H. E., Balzer, T., Tombach, B., Berns, T., & Peters, P. E.
Venue
Radiology
Published
1995-05
Volume
195
Issue
2
Pages
489-496
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2017128978
Cited by
182
References
0
FWCI
12.33
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: Clinical results with Resovist: a phase 2 clinical trial. https://app.cochat.ai/papers/10.1148/radiology.195.2.7724772
The paper
Reimer, P., Rummeny, E. J., Daldrup, H. E., Balzer, T., Tombach, B., Berns, T., & Peters, P. E. (1995). Clinical results with Resovist: a phase 2 clinical trial. Radiology. https://doi.org/10.1148/radiology.195.2.7724772

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.