Department of Surgery, Hospital Group Twente, Almelo, The Netherlands.
Department of Surgery, Antoni van Leeuwenhoek/The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Ann Surg Oncol. 2022 Apr;29(4):2210-2218. doi: 10.1245/s10434-021-11007-9. Epub 2021 Nov 5.
Sentinel lymph node biopsy (SLNB) is standard care as a staging procedure in patients with invasive breast cancer. The axillary recurrence rate, even after positive SLNB, is low. This raises serious doubts regarding the clinical value of SLNB in early breast cancer. The purpose of this study is to select patients with low suspected axillary burden in whom SLNB might be omitted.
We retrospectively analyzed 2015 primary breast cancer patients between 2007 and 2015, with 982 patients allocated to the training and 961 to the validation cohort. Variables associated with nodal disease were analyzed and used to build a nomogram for predicting nodal disease.
A total of 32.8% of patients had macrometastatic disease. A predictive model was constructed based on age, cN0, morphology, grade, multifocality, and tumor size with an area under the receiver operating characteristic curve (AUC) of 0.83. Considering a false-negative rate of 5%, 32.8% of patients could be spared axillary surgery. In a subanalysis of patients with relatively favorable characteristics, 26.8% had less than 5% chance of macrometastases.
We present a model with excellent predictive value that can select one-third of patients in whom SLNB is deemed not necessary because of less than 5% chance of nodal involvement. Whether missing 1 in 20 patients with macrometastatic disease is worthwhile balanced against preventing side-effects of the SLN procedure remains to be established. A number of ongoing large prospective trials evaluating the outcome of omitting SLNB are awaited. Meanwhile, this nomogram may be used for individual decision-making.
前哨淋巴结活检(SLNB)是浸润性乳腺癌患者进行分期的标准治疗方法。即使 SLNB 结果阳性,腋窝复发率仍然较低。这对 SLNB 在早期乳腺癌中的临床价值提出了严重质疑。本研究旨在选择腋窝受累可能性较低的患者,从而可能省略 SLNB。
我们回顾性分析了 2007 年至 2015 年间的 2015 例原发性乳腺癌患者,其中 982 例患者被分配到训练队列,961 例患者被分配到验证队列。分析与淋巴结疾病相关的变量,并用于构建预测淋巴结疾病的列线图。
共有 32.8%的患者存在巨转移。基于年龄、cN0、形态、分级、多灶性和肿瘤大小构建了一个预测模型,其受试者工作特征曲线下面积(AUC)为 0.83。考虑到假阴性率为 5%,可以避免 32.8%的患者进行腋窝手术。在对特征相对较好的患者进行亚组分析时,有 26.8%的患者发生巨转移的可能性小于 5%。
我们提出了一种具有优异预测价值的模型,可以选择三分之一的患者,由于淋巴结受累的可能性小于 5%,认为不需要进行 SLNB。漏诊 20 例巨转移患者是否值得,需要权衡避免 SLN 手术的副作用。目前正在进行多项评估省略 SLNB 后结果的大型前瞻性试验,同时,该列线图可用于个体化决策。