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abstract
Objective: Although omentectomy is part of the staging
and treatment of epithelial ovarian cancer (EOC), its performance in a
patient with a grossly normal omentum—acknowledging its role in
debulking gross tumor deposits—has never been definitively shown to
improve survival.
Methods/Materials: Using Surveillance, Epidemiology,
and End Results data from 1998 to 2010, we identified patients with EOC
and assessed their age, race, year of diagnosis, tumor grade, histologic
subtype, International Federation of Gynecology and Obstetrics stage,
lymph node dissection, nodal findings, and performance of omentectomy.
We compared disease-specific survival (DSS) based on the presence or
absence of omentectomy using log-rank univariate analysis, Cox
multivariate analysis, and Kaplan-Meier survival curves.
Results: A total of 20,975 patients with invasive EOC
underwent surgical treatment. Initial univariate analysis indicated a
lower mean DSS with performance of omentectomy. However, multivariate
analysis demonstrated no significant association between DSS and
performance of omentectomy (hazard ratio, 0.978; P = 0.506). The DSS was improved if lymphadenectomy was performed (hazard ratio, 0.60; P < 0.001). In recent years, there was a trend toward decreased performance of omentectomy.
To look specifically at patients without bulky omental
disease, a subset analysis was done looking at patients with stage
I-IIIA disease who had had lymphadenectomy performed. There were 5454
patients in the group who underwent an omentectomy and 2404 patients in
the group who did not. No difference in DSS was seen between the groups
based on performance of omentectomy (P = 0.89). However, the
analysis was limited by the lack of Surveillance, Epidemiology, and End
Results data on the extent of omentectomy, amount of residual disease,
and adjuvant chemotherapy.
Conclusions: In this analysis, performance of
omentectomy in patients with EOC without bulky disease (≤stage IIIA) did
not seem to confer improvement in survival. A randomized control trial
would be needed to fully address this question.
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