Tuomi Taru, Pasanen Annukka, Leminen Arto, Bützow Ralf, Loukovaara Mikko
Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Gynecol Oncol. 2017 Mar;144(3):510-514. doi: 10.1016/j.ygyno.2017.01.003. Epub 2017 Jan 7.
To compare the performance characteristics of 3 risk-stratification models, referred to as Mayo, Helsinki and Milwaukee models, in predicting lymphatic dissemination in endometrial cancer.
A total of 1052 patients with stage I-III endometrioid endometrial cancer were included in the study. The areas under curve were compared with the receiver operating characteristic curve area comparison test. Chi-square and Fisher exact test were used for comparing categorical variables. The Kaplan-Meier method and multivariable Cox regression models were used for survival analyses. The median follow-up time was 55months (range 1-108).
Areas under curve were 0.781, 0.830 and 0.829 for the Mayo, Helsinki (P=0.285 vs. Mayo) and Milwaukee (P=0.292 vs. Mayo) models, respectively, in predicting lymphatic dissemination. The rates of false negatives and false positives were similar for all models. The lymphadenectomy rate decreased in the order of Mayo model (71.5%)>Helsinki model (62.4%)>Milwaukee model (48.8%). In patients with stage I cancer, disease specific survival was better for those who satisfied low-risk criteria according to any of the models. In patients with stage II-III cancer, this difference in survival was significant only for the Milwaukee model. Both lymphatic dissemination and high-risk tumor features as per the risk models were independent predictors of survival.
The studied models had a similar accuracy in predicting lymphatic dissemination in endometrial cancer. Lymphadenectomy rate was lowest for the Milwaukee model. Survival analyses suggest that variables included in the models predict patient outcome independently of tumor stage.
比较3种风险分层模型(即梅奥模型、赫尔辛基模型和密尔沃基模型)预测子宫内膜癌淋巴转移的性能特征。
本研究共纳入1052例Ⅰ-Ⅲ期子宫内膜样腺癌患者。采用受试者工作特征曲线面积比较检验比较曲线下面积。采用卡方检验和Fisher精确检验比较分类变量。采用Kaplan-Meier法和多变量Cox回归模型进行生存分析。中位随访时间为55个月(范围1-108个月)。
在预测淋巴转移方面,梅奥模型、赫尔辛基模型(与梅奥模型相比,P=0.285)和密尔沃基模型(与梅奥模型相比,P=0.292)的曲线下面积分别为0.781、0.830和0.829。所有模型的假阴性率和假阳性率相似。淋巴结切除术率按梅奥模型(71.5%)>赫尔辛基模型(62.4%)>密尔沃基模型(48.8%)的顺序降低。在Ⅰ期癌症患者中,根据任何一种模型符合低风险标准的患者的疾病特异性生存率更高。在Ⅱ-Ⅲ期癌症患者中,仅密尔沃基模型存在生存差异。根据风险模型,淋巴转移和高危肿瘤特征均为生存的独立预测因素。
所研究的模型在预测子宫内膜癌淋巴转移方面具有相似的准确性。密尔沃基模型的淋巴结切除术率最低。生存分析表明,模型中包含的变量可独立于肿瘤分期预测患者预后。