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KMID : 0358420150580050385
Korean Journal of Obstetrics and Gynecology
2015 Volume.58 No. 5 p.385 ~ p.390
Prediction of lymph node metastasis in patients with apparent early endometrial cancer
:Son Joo-Hyuk
:Kong Tae-Wook/:Kim Su-Hyun/:Paek Ji-Heum/:Chang Suk-Joon/:Lee Eun-Ju/:Ryu Hee-Sug
Abstract
Objective : The purpose of this study is to investigate the incidence of lymph node metastasis in early endometrial cancer patients and to evaluate preoperative clinicopathological factors predicting lymph node metastasis.

Methods : We identified 142 patients with endometrial cancer between January 2000 and February 2013. All patients demonstrated endometrioid adenocarcinoma with grade 1 or 2 on preoperative endometrial biopsy. Preoperative magnetic resonance imaging showed that tumors were confined to the uterine corpus with superficial myometrial invasion (less than 50%), and there were no lymph nodes enlargements. All patients had complete staging procedures and were surgically staged according to the 2009 FIGO (International Federation of Gynecology and Obstetrics) staging system. Clinical and pathological data were obtained from medical records and statistically analyzed.

Results : Of the 142 patients, 127 patients (89.4%) presented with stage 1A, 8 (5.6%) with stage IB, 3 (2.1%) with stage II, and 4 (2.8%) with stage III disease. Three patients (2.1%) had lymph node metastasis-2 IIIC1 and 1 IIIC2 disease. Age, preoperative tumor grade, and myometrial invasion less than 50% on preoperative MRI were not associated with lymph node metastasis. A high preoperative serum CA-125 level (>35 IU/mL) was a statistically significant factor for predicting lymph node metastasis on univariate and multivariate analyses. Lymph node metastasis was only found in patients with preoperative grade 2 tumors or a high serum CA-125 level.

Conclusion : Preoperative tumor grade and serum CA-125 level can predict lymph node metastasis in apparent early endometrial cancer patients.
KEYWORD
CA-125, Endometrial neoplasms, Lymph node, Metastasis, Tumor grade
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