Publication Date
10-23-2020
Keywords
endometrioid endometrial cancer, lymph node involvement, tumor diameter, lymphadenectomy
Abstract
Purpose: This study aimed to assess the optimal tumor diameter for predicting lymphatic metastasis and to determine intraoperatively the need for lymph node dissection in patients with endometrioid endometrial cancer.
Methods: Military beneficiaries diagnosed with stage I–III endometrioid endometrial cancer during 2003–2016 who had at least 7 pelvic and/or paraaortic lymph nodes removed during the time of hysterectomy were studied. Tumor diameter was compared against the presence of positive nodes, using the prior models of 20 mm (ie, Mayo model) and 50 mm (ie, Milwaukee model), to determine the false-negative rate of each threshold. A separate analysis was completed to determine the optimal diameter for our population. Receiver operating characteristic curve analysis models of tumor diameter were evaluated for model fit and predictive power of lymph node involvement.
Results: Of the 1224 patients with endometrioid endometrial cancer included, 13% (n = 160) had positive lymph node involvement. Tumor sizes ranged from 1 mm to 100 mm. In contrast to Mayo and Milwaukee models (ie, Mayo, Milwaukee), the optimal tumor diameter independent of myometrial invasion and grade of tumor to predict lymph node metastasis was found to be 35 mm.
Conclusions: Endometrioid endometrial cancer tumor diameter of 35 mm was found to be the optimal threshold for lymphadenectomy when the operating surgeon has no knowledge of tumor invasion.
Recommended Citation
Riggs MJ, Cox Bauer CM, Miller CR, Aden JK, Kamelle SA. Validation of an endometrial tumor diameter model for risk assessment in the absence of lymph node mapping. J Patient Cent Res Rev. 2020;7:323-8. doi: 10.17294/2330-0698.1768
Included in
Female Urogenital Diseases and Pregnancy Complications Commons, Neoplasms Commons, Obstetrics and Gynecology Commons, Oncology Commons, Surgery Commons, Surgical Procedures, Operative Commons, Urogenital System Commons
Submitted
April 17th, 2020
Accepted
July 22nd, 2020
