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EP528 Prevalence of pelvic and paraaortic metastasis and low volume lymph node metastasis in endometrial cancer: staging and adjuvant matter
  1. V García Pineda,
  2. I Zapardiel Gutiérrez,
  3. J Siegrist Ridruejo,
  4. MD Diestro Tejeda and
  5. A Hernández Gutiérrez
  1. Gynecologic Oncology, La Paz University Hospital, Madrid, Spain

Abstract

Introduction/Background We performed a retrospective study in order to define the prevalence and prognostic of lymph node metastasis (LNM) in endometrial cancer, especially low volume lymph node metastasis (LVM).

Methodology We identified 119 cases of endometrial cancer from January 2012 to December 2016. Pelvic and paraaortic lymph node dissection was carried out in 76 cases (63,8%), only in patients with myometrial invasion ≥50% and G1, G2 or G3 histological grade and myometrial invasion <50% but high histological grade. We evaluate the rate of LNM and LVM in both areas and establish risk tumor factors as well as the prognosis of LVM taking into account adjuvant treatment.

Results Of the 119 patients 78 were at risk of which 68 patients (71,1%) underwent systematic lymph node pelvic and paraaortic dissection. A mean of 15±6,4 pelvic and 18,2±7,7 paraaortic nodes were harvested. The prevalence of pelvic and paraaortic LNM was 6,95% (n=5) and 8,9% (n=6) respectively and sentinel lymph node (SLN) was positive in 14 cases (19,7% of cases). Isolated paraaortic LNM with negative pelvic nodes were present in 3 cases (4,8%).

The rate of LVM was 37,5%, 7 cases of total LNM. LVM were present only in SLN.

16,5% of cases (16/115)presented recurrence, isolated tumoral cels and micrometastasis were present in 13,3 (2 cases) and 1 case, 6,6%. of patients with recurrence respectively.

Most of the patients received adjuvant treatment with radiotherapy and chemotherapy including those who presented LVM.

Conclusion We evaluated data for the prevalence of LNM in at-risk endometrial cancer patients to guide lymphadenectomy decisions for clinical purposes and the improvement in the diagnosis of LVM thanks to SLN technique.

Disclosure Nothing to disclose.

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