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Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population

机译:在中国人群前哨淋巴结活检阳性后预测非前哨淋巴结转移的乳腺癌模型的验证

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Over the years, completion axillary lymph node dissection is recommended for the patients with breast cancer if sentinel lymph node metastasis is found. However, not all of these patients had nonsentinel lymph node metastasis on final histology. Some predicting models have been developed for calculating the risk of nonsentinel lymph node metastasis. The aim of our study was to validate some of the predicting models in a Chinese population. Two hundred thirty-six patients with positive sentinel lymph node and complete axillary lymph node dissection were included. Patients were applied to 6 models for evaluation of the risk of nonsentinel lymph node involvement. The receiver–operating characteristic curves were shown in our study. The calculation of area under the curves and false negative rate was done for each model to assess the discriminative power of the models. There are 105 (44.5%) patients who had metastatic nonsentinel lymph node(s) in our population. Primary tumor size, the number of metastatic sentinel lymph node, and the proportion of metastatic sentinel lymph nodes/total sentinel lymph nodes were identified as the independent predictors of nonsentinel lymph node metastasis. The Seoul National University Hospital and Louisville scoring system outperformed the others, with area under the curves of 0.706 and 0.702, respectively. The area under the curve values were 0.677, 0.673, 0.432, and 0.674 for the Memorial Sloan-Kettering Cancer Center, Tenon, Stanford, and Shanghai Cancer Hospital models, respectively. With adjusted cutoff points, the Louisville scoring system outperformed the others by classifying 26.51% of patients with breast cancer to the low-risk group. The Louisville and Seoul National University Hospital scoring system were found to be more predictive among the 6 models when applied to the Chinese patients with breast cancer in our database. Models developed at other institutions should be used cautiously for decision-making regarding complete axillary lymph node dissection after a positive biopsy in sentinel lymph node.
机译:多年来,如果发现前哨淋巴结转移,建议乳腺癌患者行腋窝淋巴结清扫术。然而,并非所有这些患者在最终的组织学上都存在非前哨淋巴结转移。已经开发出一些预测模型来计算非前哨淋巴结转移的风险。我们研究的目的是验证中国人口中的一些预测模型。包括246名前哨淋巴结阳性,腋窝淋巴结清扫完全的患者。将患者应用于6个模型,以评估非前哨淋巴结受累的风险。我们的研究显示了接收器工作特性曲线。对每个模型进行曲线下面积和假阴性率的计算,以评估模型的判别力。在我们的人群中,有105(44.5%)名患者患有转移性前哨淋巴结。原发肿瘤的大小,转移前哨淋巴结的数量和转移前哨淋巴结的比例/总前哨淋巴结的比例被确定为非前哨淋巴结转移的独立预测因子。首尔国立大学医院和路易斯维尔计分系统的表现均优于其他计分系统,面积分别在0.706和0.702下。对于纪念斯隆-凯特琳癌症中心,Tenon,斯坦福大学和上海癌症医院模型,曲线下的面积分别为0.677、0.673、0.432和0.674。通过调整分界点,路易斯维尔评分系统将26.51%的乳腺癌患者归为低风险组,从而超过了其他评分系统。在我们的数据库中,将路易斯维尔和首尔国立大学医院评分系统应用于中国乳腺癌患者的6种模型中,它们的预测性更高。在前哨淋巴结活检阳性后,应谨慎使用在其他机构开发的模型进行有关完全腋窝淋巴结清扫的决策。

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