Evidence map›Paper›PMID 40304350›Full record

ReviewCurrent medical imaging2025

Muscular Cystic Lesions: A Highly Misdiagnosed Extraosseous Ewing Sarcoma: Two Case Reports and Literature Review

Deng Xiang, Hui Huang, Xiaozhen Meng, Yun Hu, Shouhua Zhang

Abstract readCase ReportsReview
In one paragraph

Review in Current medical imaging, 2025. 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.

Deng XiangDepartment of General Surgery, The Affiliated Children's Hospital of Nanchang Medical College, Jiangxi Provincial Children's Hospital, Nanchang 330006, Jiangxi, China.
Hui HuangDepartment of Pathology, The Affiliated Children's Hospital of Nanchang Medical College, Jiangxi Provincial Children's Hospital, Nanchang 330006, Jiangxi, China.
Xiaozhen MengDepartment of General Surgery, The Affiliated Children's Hospital of Nanchang Medical College, Jiangxi Provincial Children's Hospital, Nanchang 330006, Jiangxi, China.
Yun HuDepartment of General Surgery, The Affiliated Children's Hospital of Nanchang Medical College, Jiangxi Provincial Children's Hospital, Nanchang 330006, Jiangxi, China.
Shouhua ZhangDepartment of General Surgery, The Affiliated Children's Hospital of Nanchang Medical College, Jiangxi Provincial Children's Hospital, Nanchang 330006, Jiangxi, China.ORCID 0000-0002-8225-1350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA retrospective analysis was carried out on two cases of extraosseous Ewing sarcoma (ES) that were initially misdiagnosed as lymphatic malformations, with a focus on clinical manifestations, imaging characteristics, and other relevant case data. A comprehensive review of the literature was performed to enhance the understanding of cystic extraosseous ES. CASE PRESENTATION: Both cases in this study originated from cystic lesions in the muscular interstitial space. Due to the absence of distinctive clinical manifestations and imaging features, the diagnosis is primarily dependent on pathological examination.

conclusionIt is crucial to differentiate this condition from lymphatic malformations, hemangiomas, hematomas, and other diseases to ensure accurate diagnosis and appropriate treatment.

Indexed as

CystsSarcoma, EwingDiagnosis, DifferentialDiagnostic ErrorsFemaleHumansMagnetic Resonance ImagingMaleTomography, X-Ray ComputedColor Doppler Flow ImagingComputed TomographyEwing SarcomaFluorescence in situ hybridizationLymphatic malformations.Muscular Cystic Lesions

Identifiers

PMID40304350
PMCPMC13176747

What OpenQuestion holds

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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.