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Cited by 19Soft tissue tumor case studiesReconstructive Surgery and Microvascular TechniquesDupuytren's Contracture and Treatments

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Complex reconstruction of desmoid tumor resections does not increase desmoid tumor recurrence.

Abstract

BACKGROUND: The propensity of desmoid tumors to develop in scars has led some surgeons to limit the complexity of desmoid defect reconstruction as a strategy for avoiding desmoid recurrence. We hypothesized that desmoid recurrence rates are similar despite the magnitude of reconstruction. STUDY DESIGN: We retrospectively compared recurrence rates between patients who underwent reconstruction and patients who underwent primary closure without reconstruction after desmoid tumor resection in consecutive patients for 15 years. Univariate and multivariate regression analyzed associations between patient, tumor, and treatment characteristics and outcomes. RESULTS: We included 164 consecutive patients (80 [49%] reconstructions vs 84 [51%] primary closures). Mean follow-up duration was 7.1 ± 4.5 years. Patients who underwent reconstruction had more desmoids in an area of earlier trauma or surgery (p < 0.001), greater defect volume (p < 0.01), longer operative time (p < 0.001) and hospital stay (p < 0.001), and more postoperative complications (p = 0.015) compared with the primary closure group. Despite these differences, desmoid recurrence rates were similar for the reconstruction and primary closure groups (30% and 29%, respectively; p = 0.7), as was mean time to tumor recurrence, and no tumors recurred within flap donor sites. Multivariate regression analysis demonstrated the 45F mutation to be the only independent predictor of recurrence (hazard ratio = 1.87; p = 0.04). CONCLUSIONS: Rates of desmoid recurrence in resection defects are similar for primary closures and complex reconstructions. Therefore, surgeons should not limit the magnitude of reconstructions in an attempt to avoid tumor recurrence. However, given the propensity of desmoids to recur, reconstructions should allow for the possibility of future resections and reconstructions, particularly in tumors with 45F gene mutations.

Overview

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Registry

Crossref · 10.1016/j.jamcollsurg.2013.04.038

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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Citations

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Metadata

Authors
Garvey, P. B., Booth, J. H., Baumann, D. P., Calhoun, K. A., Liu, J., Pollock, R. E., & Butler, C. E.
Affiliations
The University of Texas MD Anderson Cancer Center (US)
Corresponding author
Garvey, Patrick B.
Venue
Journal of the American College of Surgeons
Published
2013-09
Volume
217
Issue
3
Pages
472-480
ISSN
1072-7515 (ISSN-L)
OpenAlex
W2099899290
Cited by
19
References
49
Citations by year
2024: 2 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 2 · 2015: 1
FWCI
0.27
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American College of Surgeons (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Texas MD Anderson Cancer Center
  • National Cancer Institute (CA 016672, P30CA016672)
Topics
  • Health Sciences › Medicine › Oncology › Soft tissue tumor case studies
  • Health Sciences › Medicine › Surgery › Reconstructive Surgery and Microvascular Techniques
  • Health Sciences › Medicine › Rheumatology › Dupuytren's Contracture and Treatments
Keywords
aggressive fibromatosis, tumor recurrence, reconstructive surgery, primary closure, scar tissue, postoperative complications, flap donor site
MeSH terms
Adult, Female, Humans, Length of Stay, Male, Neoplasm Recurrence, Local, Postoperative Complications, Regression Analysis, Retrospective Studies, Proportional Hazards Models, Fibromatosis, Aggressive, Desmoid Tumors, Plastic Surgery Procedures, Operative Time

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.