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Non-Radiographic Risk Factors Differentiating Atypical Lipomatous Tumors from Lipomas

Overview of attention for article published in Frontiers in oncology, September 2016
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Title
Non-Radiographic Risk Factors Differentiating Atypical Lipomatous Tumors from Lipomas
Published in
Frontiers in oncology, September 2016
DOI 10.3389/fonc.2016.00197
Pubmed ID
Authors

Justin E. Bird, Lee Jae Morse, Lei Feng, Wei-Lien Wang, Patrick P. Lin, Bryan S. Moon, Alexander J. Lazar, Robert L. Satcher, John E. Madewell, Valerae O. Lewis

Abstract

To determine non-radiographic risk factors differentiating atypical lipomatous tumors (ALTs) from lipomas. All patients with deep-seated lipomatous tumors of the extremities treated from January 2000 to October 2010 were retrospectively reviewed. Factors reviewed included age, gender, tumor location, size, histology, local recurrence, dedifferentiation, and metastasis. Multivariate logistic regression models were used to evaluate the effects of patient characteristics on ALT status. Ninety-four lipomas and 46 ALTs were included. Patients with an ALT were older (median: 60.5 vs. 55 years). Lipomas were evenly distributed between upper (48.9%) and lower extremities (51.1%), whereas ALTs predominately involved the lower extremities (91.3%). Median ALT size (22 cm) was greater than lipomas (10 cm), p < 0.0001. One lipoma (1.04%) recurred at 77 months and five ALTs (10.9%) recurred at an average of 39 months (19-64 months). Two ALTs originally treated with wide resection recurred with a dedifferentiated component and were treated with wide re-excision and chemotherapy. No metastases or tumor-related deaths occurred in either group at the time of last follow-up. Patients older than 60 years, tumors greater than 10 cm, or thigh location, were more likely to be diagnosed with an ALT (p < 0.05). Lipomatous tumors were more likely to be ALTs when the tumor was at least 10 cm in size, located in the thigh, or found in patients that were 60 years of age or older. These risk factors may be used to guide management and surveillance strategies, when lipomatous tumors do not display characteristic radiographic features.

Twitter Demographics

Twitter Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 13%
Student > Doctoral Student 3 13%
Researcher 3 13%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Other 5 22%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 14 61%
Unspecified 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2016.
All research outputs
#20,342,896
of 22,889,074 outputs
Outputs from Frontiers in oncology
#12,596
of 17,671 outputs
Outputs of similar age
#278,644
of 321,010 outputs
Outputs of similar age from Frontiers in oncology
#49
of 52 outputs
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