Evidence map›Paper›PMID 34580348›Full record

ArticleScientific reports2021

Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging.

Yuki Himoto, Aki Kido, Akihiko Sakata, Yusaku Moribata, Yasuhisa Kurata, Ayako Suzuki, Noriomi Matsumura, Fuki Shitano, Seiya Kawahara, Shigeto Kubo and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

13 authors.

Yuki HimotoDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyoku, Kyoto, 606-8507, Japan. yhimoto@kuhp.kyoto-u.ac.jp.
Aki KidoDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyoku, Kyoto, 606-8507, Japan.
Akihiko SakataDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyoku, Kyoto, 606-8507, Japan.
Yusaku MoribataDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyoku, Kyoto, 606-8507, Japan.
Yasuhisa KurataDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyoku, Kyoto, 606-8507, Japan.
Ayako SuzukiDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan.
Noriomi MatsumuraDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka, Japan.
Fuki ShitanoDepartment of Radiology, Japanese Red Cross Osaka Hospital, Osaka, Japan.
Seiya KawaharaDepartment of Radiology, Japanese Red Cross Otsu Hospital, Shiga, Japan.
Shigeto KuboDepartment of Radiology, Kitano Hospital, Osaka, Japan.
Shigeaki UmeokaDepartment of Diagnostic Radiology, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan.
Sachiko MinamiguchiDepartment of Diagnostic Pathology, Kyoto University, Kyoto, Japan.
Masaki MandaiDepartment of Gynecology and Obstetrics, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to evaluate utility of MRI in differentiation of uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective study included consecutive 25 patients with uterine LGESS and 42 patients with rare leiomyoma variants who had pretreatment MRI. Two radiologists (R1/R2) independently evaluated MRI features, which were analyzed statistically using Fisher's exact test or Student's t-test. Subsequently, using a five-point Likert scale, the two radiologists evaluated the diagnostic performance of a pre-defined MRI system using features reported as characteristics of LGESS in previous case series: uterine tumor with high signal intensity (SI) on diffusion-weighted images and with either worm-like nodular extension, intra-tumoral low SI bands, or low SI rim on T2-weighted images. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of the two readers' Likert scales were analyzed. Intra-tumoral low SI bands (p < 0.001), cystic/necrotic change (p ≤ 0.02), absence of speckled appearance (p < 0.001) on T2-weighted images, and a low apparent diffusion coefficient value (p ≤ 0.02) were significantly associated with LGESS. The pre-defined MRI system showed very good diagnostic performance: AUC 0.86/0.89, sensitivity 0.95/0.95, and specificity 0.67/0.69 for R1/R2. MRI can be useful to differentiate uterine LGESS from rare leiomyoma variants.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedDiagnosis, DifferentialEndometrial NeoplasmsEndometriumFeasibility StudiesFemaleHumansLeiomyomaMiddle AgedRetrospective StudiesROC CurveSarcoma, Endometrial StromalYoung Adult

Identifiers

PMID34580348
PMCPMC8476551

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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.