Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 187

The DOI matches its Crossref record.

Adenomyosis and leiomyoma: differential diagnosis with MR imaging.

Mark, A S, Hricak, H, Heinrichs, L W, Hendrickson, M R, Winkler, M L, Bachica, J A, Stickler, J E·1987·Radiology

Abstract

To assess the capability of magnetic resonance (MR) imaging to enable differentiation of adenomyosis from leiomyoma, a prospective study was performed in 21 premenopausal patients with a strong clinical suggestion of adenomyosis. Histologic findings from hysterectomy (19 patients) and biopsy specimens (two patients) showed that eight patients had adenomyosis (three focal, five diffuse) and 12 had leiomyomas (five of the 12 also had microscopic foci of adenomyosis); one patient had a normal uterus. All eight cases of adenomyosis were correctly diagnosed from MR images. On T2-weighted MR images, diffuse adenomyosis appeared as a thickening of the junctional zone, whereas focal adenomyosis appeared as a low-signal-intensity mass poorly marginated from the adjacent myometrium. Ten of the 12 leiomyomas were correctly diagnosed from MR images. In the other two cases of leiomyoma, differentiation between focal adenomyosis and leiomyoma was not possible. Microscopic foci of adenomyosis were not demonstrated with 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.163.2.3562836

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 187

Metadata

Authors
Mark, A. S., Hricak, H., Heinrichs, L. W., Hendrickson, M. R., Winkler, M. L., Bachica, J. A., & Stickler, J. E.
Venue
Radiology
Published
1987-05
Volume
163
Issue
2
Pages
527-529
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2165290782
Cited by
187
References
0
FWCI
0.65
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: Adenomyosis and leiomyoma: differential diagnosis with MR imaging. https://app.cochat.ai/papers/10.1148/radiology.163.2.3562836
The paper
Mark, A. S., Hricak, H., Heinrichs, L. W., Hendrickson, M. R., Winkler, M. L., Bachica, J. A., & Stickler, J. E. (1987). Adenomyosis and leiomyoma: differential diagnosis with MR imaging. Radiology. https://doi.org/10.1148/radiology.163.2.3562836

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.