ArticleCureus2024
Well-Differentiated Liposarcoma of the Posterior Neck: A Case Report.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft tissue sarcoma is a rare differential diagnosis for masses arising in the head and neck regions and should be evaluated carefully. We report a case of a patient with a large posterior neck mass. Initially, the mass was suspected to be an intermuscular lipoma based on computed tomography (CT) scan and magnetic resonance imaging (MRI) findings, which showed a large, well-defined, lobulated intermuscular fatty mass. The mass was excised through a cervical incision while preserving the surrounding vital muscular and neurovascular structures. Histopathological examination revealed a well-differentiated liposarcoma (WDLS) with adipocytes of various sizes, scattered nuclear atypia, and expanded fibrous septa containing atypical stromal spindle cells positive for MDM2 staining. These findings confirmed the mass as a WDLS. We describe our approach to the diagnosis and treatment of this condition in detail.
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Registered trials
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.