Literature DB >> 24521797

Well-differentiated liposarcoma of the epiglottis.

A Pajaniappane1, J Farzan1, D M Green2, M De1.   

Abstract

OBJECTIVE: Liposarcomas of the larynx and its sub-sites are rare. Within this group of tumours, well-differentiated liposarcomas of the epiglottis have been only sporadically reported. In view of its infrequent presentation, difficulty still exists over the diagnosis of this pathological entity, together with uncertainty over its exact accepted management.
METHOD: We present the case of a well-differentiated liposarcoma of the epiglottis, and we review the associated English-language literature.
RESULTS: The reported patient underwent multiple attempts at surgical treatment prior to establishment of a firm diagnosis. In light of the diagnosis and other mitigating factors, a conservative approach was adopted.
CONCLUSION: A high index of clinical suspicion and detailed histological analysis are required when encountering a recurrent soft tissue lesion of the larynx. In the presented case, a multidisciplinary approach and conservative management plan were adopted, based on a holistic management approach and a review of the published literature.

Entities:  

Mesh:

Year:  2014        PMID: 24521797     DOI: 10.1017/S0022215114000085

Source DB:  PubMed          Journal:  J Laryngol Otol        ISSN: 0022-2151            Impact factor:   1.469


  3 in total

Review 1.  Well-Differentiated Laryngeal/Hypopharyngeal Liposarcoma in the MDM2 Era Report of Three Cases and Literature Review.

Authors:  Hui Zhu; Jihong Sun; Shi Wei; Diping Wang; Margaret Brandwein
Journal:  Head Neck Pathol       Date:  2016-08-04

2.  Well-Differentiated/Dedifferentiated Liposarcoma Arising in the Upper Aerodigestive Tract: 8 Cases Mimicking Non-adipocytic Lesions.

Authors:  Karen Fritchie; Toshi Ghosh; Rondell P Graham; Anja C Roden; David Schembri-Wismayer; Andrew Folpe; Michael Rivera
Journal:  Head Neck Pathol       Date:  2020-05-14

3.  Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database.

Authors:  Jia Gu; Zhifan Zuo; Lei Sun; Li Li; Ning Zhao
Journal:  Ann Transl Med       Date:  2020-04
  3 in total

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