Bendifallah Sofiane, Canlorbe Geoffroy, Arsène Emmanuelle, Collinet Pierre, Huguet Florence, Coutant Charles, Hudry Delphine, Graesslin Olivier, Raimond Emilie, Touboul Cyril, Daraï Emile, Ballester Marcos
Department of Obstetrics and Gynaecology, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), University Pierre and Marie Curie, Paris 6, Institut Universitaire de Cancérologie (IUC), Paris, France,
Ann Surg Oncol. 2015 Aug;22(8):2722-8. doi: 10.1245/s10434-014-4311-4. Epub 2015 Jan 7.
This study was designed to develop a risk scoring system (RSS) for predicting lymph node (LN) metastases in patients with early-stage endometrial cancer (EC).
Data of 457 patients with early-stage EC who received primary surgical treatment between January 2001 and December 2012 were abstracted from a prospective, multicentre database (training set). A risk model based on factors impacting LN metastases was developed. To assess the discrimination of the RSS, both internal by the bootstrap approach and external validation (validation set) were adopted.
Overall the LN metastasis rate was 11.8 % (54/457). LN metastases were associated with five variables: age ≥60 years, histological grade 3 and/or type 2, primary tumor diameter ≥1.5 cm, depth of myometrial invasion ≥50 %, and the positive lymphovascular space involvement status. These variables were included in the RSS and assigned scores ranging from 0 to 9. The discrimination of the RSS was 0.81 [95 % confidence interval (CI) 0.78-0.84] in the training set. The area under the curve of the receiver-operating characteristics for predicting LN metastases after internal and external validation was 0.80 (95 % CI 0.77-0.83) and 0.85 (95 % CI 0.81-0.89), respectively. A total score of 6 points corresponded to the optimal threshold of the RSS with a rate of LN metastases of 7.5 % (29/385) and 34.7 % (25/72) for low-risk (≤6 points) and high-risk patients (>6 points), respectively. At this threshold, the diagnostic accuracy was 83 %.
This RSS could be useful in clinical practice to determine which patients with early-stage EC should benefit from secondary surgical staging including complete lymphadenectomy.
本研究旨在开发一种风险评分系统(RSS),用于预测早期子宫内膜癌(EC)患者的淋巴结(LN)转移情况。
从一个前瞻性多中心数据库(训练集)中提取了2001年1月至2012年12月期间接受初次手术治疗的457例早期EC患者的数据。基于影响LN转移的因素建立了一个风险模型。为评估RSS的辨别力,采用了自举法进行内部验证和外部验证(验证集)。
总体而言,LN转移率为11.8%(54/457)。LN转移与五个变量相关:年龄≥60岁、组织学分级3级和/或2型、原发肿瘤直径≥1.5 cm、肌层浸润深度≥50%以及淋巴管间隙受累阳性状态。这些变量被纳入RSS,并赋予0至9分的评分。训练集中RSS的辨别力为0.81[95%置信区间(CI)0.78 - 0.84]。内部和外部验证后预测LN转移的受试者操作特征曲线下面积分别为0.80(95%CI 0.77 - 0.83)和0.85(95%CI 0.81 - 0.89)。总分为6分对应于RSS的最佳阈值,低风险(≤6分)和高风险患者(>6分)的LN转移率分别为7.5%(29/385)和34.7%(25/72)。在此阈值下,诊断准确率为83%。
该RSS在临床实践中可能有助于确定哪些早期EC患者应从包括完整淋巴结清扫术的二次手术分期中获益。