Evidence map›Paper›PMID 40210681›Full record

ArticleAbdominal radiology (New York)2025

Differentiating uterine adenosarcoma from endometrial polyps: MRI imaging features.

Kumi Harada, Yasuhisa Kurata, Yuki Himoto, Aki Kido, Mitsuhiro Kirita, Atsushi Yoshida, Yuka Kuriyama Matsumoto, Junzo Hamanishi, Sachiko Minamiguchi, Hiroaki Ito and 11 more

Erratum issuedAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Kumi HaradaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasuhisa KurataDepartment of Diagnostic Radiology, Kyoto University Hospital, Kyoto, Japan. y.kurata.36.0@gmail.com.
Yuki HimotoDepartment of Diagnostic Radiology, Kyoto University Hospital, Kyoto, Japan.
Aki KidoDepartment of Diagnostic Radiology, Toyama University Hospital, Toyama, Japan.
Mitsuhiro KiritaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Atsushi YoshidaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuka Kuriyama MatsumotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Junzo HamanishiDepartment of Gynecology and Obstetrics, Kyoto University Hospital, Kyoto, Japan.
Sachiko MinamiguchiDepartment of Diagnostic Pathology, Fujita Health University, Toyoake, Japan.
Hiroaki ItoDepartment of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.
Akitoshi NakashimaDepartment of Gynecology and Obstetrics, Toyama University Hospital, Toyama, Japan.
Takashi MinamisakaDepartment of Diagnostic Pathology, Toyama University Hospital, Toyama, Japan.
Sayaka DaidoDepartment of Diagnostic Radiology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Kaoru AbikoDepartment of Gynecology and Obstetrics, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Koki MoriyoshiDepartment of Diagnostic Pathology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Kumiko AndoDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, Kobe, Japan.
Shigeki ArizonoDepartment of Diagnostic Radiology, Kobe City Medical Center General Hospital, Kobe, Japan.
Takuya AokiDepartment of Gynecology and Obstetrics, Kobe City Medical Center General Hospital, Kobe, Japan.
Shigeo HaraDepartment of Diagnostic Pathology, Kobe City Medical Center General Hospital, Kobe, Japan.
Masaki MandaiDepartment of Gynecology and Obstetrics, Kyoto University Hospital, Kyoto, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was conducted to identify MRI features distinguishing uterine adenosarcoma from endometrial polyps and to predict the presence or absence of sarcomatous overgrowth (SO), a pathological finding linked to poor prognosis.

methodsThis multicenter retrospective study included 11 cases of uterine adenosarcoma, with 5 showing SO and 6 without, and 20 cases of endometrial polyps measuring 3 cm or greater diameter. Quantitative evaluations (tumor volume, cystic lesion size, diffusion-weighted imaging [DWI] signal ratio, apparent diffusion coefficient [ADC] value, and normalized ADC value) and qualitative evaluations (degree of hemorrhage, signal intensity on T2-weighted imaging and DWI, number of cystic lesions, degree of contrast enhancement, and tumor localization) were performed. The evaluation parameters were compared between uterine adenosarcoma and endometrial polyp groups, and between SO and non-SO subgroups within uterine adenosarcoma.

resultsUterine adenosarcoma had significantly larger tumor volumes (median 192,324 mm³ vs. 15,717 mm³, p < 0.001), larger cystic lesions (median 17.7 mm vs. 6.7 mm, p = 0.0074), and higher DWI signal ratios (median 1.50 vs. 1.08, p = 0.008) along with significantly lower ADC values (median 961.5 × 10

conclusionsThis study identified key imaging features of uterine adenosarcoma, including larger tumor volume, larger cystic lesions, gross intratumoral hemorrhage, higher DWI signal intensity, and lower ADC values. These findings can facilitate preoperative differentiation of uterine adenosarcoma from endometrial polyps.

Indexed as

AdenosarcomaEndometrial NeoplasmsMagnetic Resonance ImagingPolypsUterine NeoplasmsAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansMiddle AgedRetrospective StudiesContrast MediaEndometrial polypsMRISarcomatous overgrowthUterine adenosarcoma

Identifiers

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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.