Breast Surgery Unit, Department of Gastrointestinal and General Surgery, Helsinki University Central Hospital, Helsinki, Finland.
Ann Surg Oncol. 2012 Feb;19(2):567-76. doi: 10.1245/s10434-011-1882-1. Epub 2011 Jul 27.
Tumor-positive sentinel node biopsy (SNB) suggests a risk of nonsentinel node metastases in breast cancer. This risk is lower after micrometastasis or isolated tumor cells (ITC) in the sentinel node (SN), and recent studies suggest that completion axillary lymph node dissection (ALND) might not improve outcome in these patients. We aim to validate existing predictive models and to develop a new model for micrometastatic and ITC patients.
A series of 484 patients with micrometastases or ITC in SN followed by ALND was used to evaluate factors affecting nonsentinel node involvement. Logistic regression analysis was performed to construct a predictive model, which was validated by a separate series of 51 patients.
Only 7.2% of patients had additional metastases on completion ALND. Tumor diameter and multifocality associated with nonsentinel status on multivariate analysis. A predictive model was constructed showing good [area under the curve (AUC) 0.791] discrimination in the validation series. Previously published models performed poorly in our patient population.
Nonsentinel node metastases are rare with micrometastasis or ITC in SN. Most published predictive models for nonsentinel node involvement perform poorly in the present patient population. We developed a new predictive model which seems to perform well in discriminating patients with more than 10% risk of additional metastases. However, the presented nomogram needs to be validated with an independent patient series to evaluate its accuracy, especially for high-risk patients.
肿瘤阳性前哨淋巴结活检(SNB)提示乳腺癌非前哨淋巴结转移的风险。在前哨淋巴结(SN)中存在微转移或孤立肿瘤细胞(ITC)时,这种风险较低,并且最近的研究表明,在这些患者中完成辅助腋窝淋巴结清扫术(ALND)可能不会改善预后。我们旨在验证现有的预测模型,并为微转移和 ITC 患者开发新的模型。
使用一系列 484 例 SN 中存在微转移或 ITC 且随后接受 ALND 的患者,评估影响非前哨淋巴结受累的因素。进行逻辑回归分析以构建预测模型,并通过另一系列 51 例患者进行验证。
仅 7.2%的患者在完成 ALND 时有额外转移。肿瘤直径和多灶性与多变量分析中的非前哨状态相关。构建了一个预测模型,在验证系列中显示出良好的区分度(曲线下面积 [AUC] 为 0.791)。以前发表的模型在本患者人群中表现不佳。
SN 中存在微转移或 ITC 时,非前哨淋巴结转移罕见。大多数发表的非前哨淋巴结受累预测模型在本患者人群中表现不佳。我们开发了一种新的预测模型,似乎在区分具有超过 10%额外转移风险的患者方面表现良好。然而,所提出的列线图需要通过独立的患者系列进行验证,以评估其准确性,尤其是对于高危患者。