首页> 外文期刊>European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) >Assessment of the Memorial Sloan-Kettering Cancer Center nomogram to predict sentinel lymph node metastases in a Dutch breast cancer population
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Assessment of the Memorial Sloan-Kettering Cancer Center nomogram to predict sentinel lymph node metastases in a Dutch breast cancer population

机译:评估斯隆-凯特琳纪念癌症中心诺模图以预测荷兰乳腺癌人群的前哨淋巴结转移

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Aim: Sentinel lymph node (SLN) biopsy is an accepted alternative to axillary lymph node dissection to assess the axillary tumour status in breast cancer patients. Memorial Sloan-Kettering Cancer Center (MSKCC) developed a nomogram to predict the likelihood of SLN metastases in breast cancer patients. Nomogram performance was tested on a Dutch population. Methods: Data of 770 breast cancer patients who underwent successful SLN biopsy were collected. SLN metastases were present in 222 patients. A receiver operating characteristic (ROC) curve was drawn and the area under the curve was calculated to assess the discriminative ability of the MSKCC nomogram. A calibration plot was drawn to compare actual versus nomogram-predicted probabilities. Results: The area under the ROC curve for the predictive nomogram was 0.67 (95% confidence interval 0.63-0.72) as compared to 0.75 in the original population. The nomogram was well-calibrated in the Dutch population. Conclusions: In a Dutch population, the MSKCC nomogram estimated risk of sentinel node metastases in breast cancer patients well (i.e. calibration) with reasonable discrimination (area under ROC curve). Nomogram performance on core needle biopsy data has to be evaluated prospectively. ? 2012 Elsevier Ltd. All rights reserved.
机译:目的:前哨淋巴结(SLN)活检是腋窝淋巴结清扫术的公认替代方法,用于评估乳腺癌患者的腋窝肿瘤状态。斯隆-凯特琳纪念癌症中心(MSKCC)开发了诺模图来预测乳腺癌患者发生SLN转移的可能性。对荷兰人的Nomogram性能进行了测试。方法:收集770例成功进行SLN活检的乳腺癌患者的数据。 SLN转移存在222例患者。绘制接收器工作特性(ROC)曲线,并计算曲线下的面积,以评估MSKCC列线图的判别能力。绘制校准图以比较实际与列线图预测的概率。结果:预测诺模图的ROC曲线下面积为0.67(95%置信区间0.63-0.72),而原始人群中为0.75。列线图在荷兰人口中得到了很好的校准。结论:在荷兰人群中,MSKCC诺模图以合理的区分度(ROC曲线下的面积)很好地估计了乳腺癌患者前哨淋巴结转移的风险(即校准)。必须对前导图对核心针穿刺活检数据的表现进行评估。 ? 2012 Elsevier Ltd.保留所有权利。

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