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Leiomyosarcoma of the Adrenal vein: a novel approach to surgical resection

Overview of attention for article published in World Journal of Surgical Oncology, October 2007
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Title
Leiomyosarcoma of the Adrenal vein: a novel approach to surgical resection
Published in
World Journal of Surgical Oncology, October 2007
DOI 10.1186/1477-7819-5-109
Pubmed ID
Authors

Tracy S Wang, Idris Tolgay Ocal, Ronald R Salem, John Elefteriades, Julie A Sosa

Abstract

Leiomyosarcomas typically originate within smooth muscle cells. Leiomyosarcomas arising from the adrenal vein are rare malignancies associated with delayed diagnosis and poor prognosis. The most common vascular site of origin is the inferior vena cava. This is a 64-year old woman who presented with a 13 x 6.5 x 6.6 cm heterogeneous mass arising in the region of the right adrenal gland and extending into the inferior vena cava (IVC) and the right atrium. Biochemical evaluation excluded a functional tumor of the adrenal gland, and multiple tumor markers were negative. We present the novel use of deep hypothermic circulatory arrest (DHCA) in the resection of an adrenal vein leiomyosarcoma extending into the right atrium. The patient remains free of disease ten months after surgery. DHCA afforded a bloodless operative field for optimal resection of disease from within the IVC. The diagnosis of leiomyosarcomas of the adrenal vein is one of exclusion and involves preoperative radiological imaging and biochemical evaluation to exclude other functional tumors of the adrenal gland. Aggressive surgical resection is associated with improved survival and may be best achieved via collaboration among different surgical subspecialties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 23%
Other 2 15%
Student > Master 2 15%
Professor 1 8%
Researcher 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Medicine and Dentistry 6 46%
Agricultural and Biological Sciences 1 8%
Nursing and Health Professions 1 8%
Social Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 3 23%