Evidence map›Paper›PMID 42077676›Full record

ArticleCureus2026

MRI Findings of Uterine Adenofibroma With Squamous Metaplasia.

Akane Kaizu, Iichiro Osawa, Kaiji Inoue, Kosei Hasegawa, Masanori Yasuda

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Akane KaizuRadiology, Saitama Medical University Hospital, Moroyama, JPN.
Iichiro OsawaRadiology, Saitama Medical University Hospital, Moroyama, JPN.
Kaiji InoueRadiology, Saitama Medical University Hospital, Moroyama, JPN.
Kosei HasegawaGynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, JPN.
Masanori YasudaPathology, Saitama Medical University International Medical Center, Hidaka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine adenofibroma is an extremely rare, benign, mixed epithelial and mesenchymal tumor, and its imaging characteristics remain poorly characterized because only a small number of cases have been reported. Accurate preoperative diagnosis can be difficult, as the clinical and radiological features of uterine adenofibroma often overlap with those of endometrial carcinoma, adenosarcoma, and other lesions of the endometrial cavity. Very few studies have documented detailed MRI findings, and further case reports are needed to establish distinctive imaging patterns. We report the case of an 84-year-old woman who presented with genital bleeding and a uterine mass on imaging. MRI revealed a mainly solid tumor with small cystic components occupying the endometrial cavity. Dynamic contrast-enhanced MRI demonstrated linear surface enhancement in the early phase and papillary projections with gradually increasing enhancement in the delayed phase. These imaging findings were consistent with the histopathological features of the tumor, which showed surface papillations and widespread squamous metaplasia. The presence of prominent squamous metaplasia likely contributed to the marked and progressive surface enhancement, a feature that distinguished this case from previously reported adenofibromas. This report highlights the importance of recognizing unique MRI characteristics, particularly papillary surface enhancement patterns, when evaluating endometrial cavity tumors. Further accumulation of imaging-pathology correlated reports may assist in improving the diagnostic accuracy of this rare tumor type.

Indexed as

mripapillary projectionssquamous metaplasiauterine adenofibromauterus

Identifiers

PMID42077676
PMCPMC13129567

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.