A preoperative prediction model for predicting coexisting adnexa malignancy of patients with G1/G2 endometrioid endometrial cancer
A preoperative prediction model for predicting coexisting adnexa malignancy of patients with G1/G2 endometrioid endometrial cancer
复制标题
预测 G1/G2 子宫内膜样子宫内膜癌患者共存附件恶性肿瘤的术前预测模型
DOI：
10.1016/j.ygyno.2020.08.017
复制
发表时间：
2020-11-01
影响因子：
4.7
通讯作者：
Ren, Yulan
中科院分区：
文献类型：
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作者：
Shen, Lina;Xie, Li;Ren, Yulan
目标。目的探讨G1/G2期子宫内膜样癌(EEC)患者术前合并附件恶性肿瘤(CAM)的预测因素。纳入1996/2017年间在复旦大学上海肿瘤中心接受手术治疗的G1/G2期食管癌患者。通过单因素和多因素Logistic回归分析，筛选出CAM的预测因素，并构建诺模图，对判别和校正进行评价。在研究队列中的1511例患者中，66例(4.4%)合并附件恶性肿瘤(转移性51例，原发15例)。在单因素Logistic回归分析中，CA125值(35U/ml)、组织学分级、磁共振检查子宫肌层侵犯深度、附件受累/手术探查是CAM的显著预测因素(P<；.001，0.047，0.011，P<0.05)。
Objective. To identify the predictors of coexisting adnexa malignancy (CAM) before surgery for patients with G1/G2 endometrioid endometrial cancer (EEC).Methods. Patients with G1/G2 EEC who received surgery in Fudan University Shanghai Cancer Center from 1996 to 2017 were enrolled. Univariate and multivariate logistic regression were performed to identify the predictors for CAM, and the nomogram was constructed and evaluated the discrimination and calibration.Results. Among the 1511 patients in the study cohort, 66 (4.4%) coexisted adnexa malignancy (51metastatic and 15 synchronous primaries). In the univariate logistic regression analysis, CA125 level (>35 U/ml), histologic grades, myometrial invasion depth in magnetic resonance imaging (MRI), adnexal involvement in MRI/surgical exploration (SEP) were found to be significant predictors for CAM (P < .001, 0.047, 0.011,