Department of Obstetrics and Gynecology, Hospital Tenon, Assistance Publique-Hôpitaux de Paris, France.
Am J Obstet Gynecol. 2012 Sep;207(3):197.e1-8. doi: 10.1016/j.ajog.2012.06.080. Epub 2012 Jul 9.
Our objective was to develop a nomogram based on pathological hysterectomy characteristics to provide a more individualized and accurate estimation of lymph node metastasis in endometrial cancer.
Data from the Surveillance, Epidemiology, and End Results database for 18,294 patients who underwent hysterectomy and lymphadenectomy were analyzed. A multivariate logistic regression analysis of selected prognostic features was performed, and a nomogram to predict lymph node metastasis was constructed. A cohort of 434 patients was used for the external validation.
The nomogram showed good discrimination with an area under the receiver operating characteristic curve of 0.80 (95% confidence interval, 0.79-0.81) in the training set and 0.79 (95% confidence interval, 0.78-0.80) in the validation set. The nomogram was well calibrated.
We developed a nomogram based on 5 clinical and pathological characteristics to predict lymph node metastasis with a high concordance probability.
我们的目的是开发一种基于病理子宫切除术特征的列线图，以提供更个体化和准确的子宫内膜癌淋巴结转移估计。
分析了来自监测、流行病学和最终结果数据库的 18294 例接受子宫切除术和淋巴结切除术的患者的数据。对选定的预后特征进行多变量逻辑回归分析，并构建了预测淋巴结转移的列线图。使用 434 例患者的队列进行外部验证。
该列线图在训练集中的受试者工作特征曲线下面积为 0.80（95%置信区间，0.79-0.81），在验证集中为 0.79（95%置信区间，0.78-0.80），具有良好的区分度。该列线图具有良好的校准度。
我们基于 5 个临床和病理特征开发了一种列线图，以预测淋巴结转移的高一致性概率。
