Management and Recurrence Patterns of Desmoids Tumors: A Multi-institutional Analysis of 211 Patients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Peter D. Peng, Omar Hyder, Michael N. Mavros, Ryan Turley, Ryan Groeschl, Amin Firoozmand, Michael Lidsky, Joseph M. Herman, Michael Choti, Nita Ahuja, Robert Anders, Daniel G. Blazer, T. Clark Gamblin, Timothy M. Pawlik

ABSTRACT

BACKGROUND: Desmoid tumors are rare soft-tissue neoplasms with limited data on their management. We sought to determine the rates of recurrence following surgery for desmoid tumors and identify factors predictive of disease-free survival. METHODS: Between January 1983 and December 2011, 211 patients with desmoid tumors were identified from three major surgical centers. Clinicopathologic and treatment characteristics were analyzed to identify predictors of recurrence. RESULTS: Median age was 36 years; patients were predominantly female (68 %). Desmoid tumors most commonly arose in extremities (32 %), abdominal cavity (23 %) or wall (21 %), and thorax (15 %); median size was 7.5 cm. Most patients had an R0 surgical margin (60 %). The 1- and 5-year recurrence-free survival was 81.3 and 52.8 %, respectively. Factors associated with worse recurrence-free survival were: younger age (for each 5-year increase in age, hazard ratio [HR] = 0.90, 95 % confidence interval [95 % CI] 0.82-0.98) and extra-abdominal tumor location (abdominal wall referent: extra-abdominal site, HR = 3.28, 95 % CI, 1.46-7.36) (both P < 0.05). CONCLUSIONS: Recurrence remains a problem following resection of desmoid tumors with as many as 50 % of patients experiencing a recurrence within 5 years. Factors associated with recurrence included age, tumor location, and margin status. While surgical resection remains central to the management of patients with desmoid tumors, the high rate of recurrence highlights the need for more effective adjuvant therapies. More... »

PAGES

4036-4042

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1245/s10434-012-2634-6

DOI

http://dx.doi.org/10.1245/s10434-012-2634-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049399810

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22972507


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1245/s10434-012-2634-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1245/s10434-012-2634-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-012-2634-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-012-2634-6'


 

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