4.6 Article

Evaluating long-term outcomes of three approaches to retroperitoneal staging in endometrial cancer

期刊

GYNECOLOGIC ONCOLOGY
卷 166, 期 2, 页码 277-283

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygyno.2022.06.007

关键词

Endometrial cancer; Laparoscopy; Sentinel node mapping; Lymphadenectomy; Staging surgery

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This study evaluated the long-term survival of three different approaches of nodal assessment in endometrial cancer patients and found that sentinel lymph node mapping (SNM) provides similar long-term oncologic outcomes to lymphadenectomy (LND).
Objective. Sentinel lymph node mapping (SNM) has gained popularity in managing apparent early-stage endometrial cancer (EC). Here, we evaluated the long-term survival of three different approaches of nodal assessment.Methods. This is a multi-institutional retrospective study evaluating long-term outcomes of EC patients hav-ing nodal assessment between 01/01/2006 and 12/31/2016. In order to reduce possible confounding factors, we applied a propensity-matched algorithm.Results. Overall, 940 patients meeting inclusion criteria were included in the study, of which 174 (18.5%), 187 (19.9%), and 579 (61.6%) underwent SNM, SNM followed by backup lymphadenectomy (LND) and LND alone, respectively. Applying a propensity score matching algorithm (1:1:2) we selected 500 patients, including 125 SNM, 125 SNM/backup LND, and 250 LND. Baseline characteristics of the study population were similar between groups. The prevalence of nodal disease was 14%, 16%, and 12% in patients having SNM, SNM/backup LND and LND, respectively. Overall, 19 (7.6%) patients were diagnosed with low volume nodal disease. The survival analysis comparing the three techniques did not show statistical differences in terms of disease-free (p = 0.750) and overall survival (p = 0.899). Similarly, the type of nodal assessment did not impact survival outcomes after stratification based on uterine risk factors.Conclusion. Our study highlighted that SNM provides similar long-term oncologic outcomes than LND.(c) 2022 Elsevier Inc. All rights reserved.

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