A predictive model for lymph node metastasis using tumor location in presumed early-stage endometrioid endometrial cancer patients.

ABSTRACT:

Objective

The aim of this study was to identify high- and low-risk subgroups of patients with lymph node (LN) metastasis in presumed early-stage endometrioid endometrial cancer (EC) patients.

Methods

Clinicopathologic data of presumed early-stage endometrioid EC patients (n=361) treated with lymphadenectomy between March 2000 and July 2022 were analyzed. None of the patient had definite evidence of LN metastasis in a preoperative magnetic resonance imaging (MRI). A received operating characteristic curve analysis was conducted to define the sensitivity and specificity for the combined preoperative risk factors for LN metastasis, which was determined by multivariate analysis.

Results

Nineteen patients (5.3%) had LN metastasis. Multivariate analysis identified cervical

SUBMITTER: Kong TW 

PROVIDER: S-EPMC11262904 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature