Xie Tianwen, Huang Yan, Xiao Qin, Peng Weijun, Zhao Qiufeng, Gu Yajia
Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Department of Radiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Eur J Radiol. 2025 Oct;191:112328. doi: 10.1016/j.ejrad.2025.112328. Epub 2025 Jul 17.
To investigate the predictive value of breast edema identified on preoperative T2-weighted MRI for sentinel lymph node (SLN) metastasis in patients with clinically node-negative (cN0) T1 and T2 stage invasive breast cancer.
In this retrospective bicentric study, women with cN0 invasive breast cancer- confirmed by clinical examination, ultrasound, and MRI- who underwent preoperative breast MRI between January 2016 and December 2019 at two independent institutions were included. Breast edema on T2-weighted images was assessed. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of SLN metastasis. The area under the receiver operating characteristic curve (AUC) and negative predictive value (NPV) were calculated.
Of the 381 patients, SLN metastasis was observed in 67 of 267 patients (25.1 %) in the primary cohort and in 24 of 114 patients (21.1 %) in the validation cohort. Breast edema was independently associated with SLN metastasis in both cohorts. A model based solely on breast edema achieved an AUC of 0.738 (95 % CI: 0.667-0.809) and an NPV of 89 % in the primary cohort, with consistent performance in the validation cohort. Compared with a model using only clinicopathological features (age and molecular subtype), the combined model incorporating breast edema significantly improved predictive performance (AUC: 0.822 vs. 0.654, p < 0.001; NPV: 92 % vs. 83 %), which was confirmed in the validation cohort (AUC: 0.793 vs. 0.616, p = 0.021; NPV: 92 % vs. 88 %).
Breast edema is independently associated with SLN metastasis. Breast edema combing with clinical-pathological features may help identify patients at lower risk of SLN metastasis, potentially aiding in SLNB omission decisions.
探讨术前T2加权磁共振成像(MRI)上发现的乳腺水肿对临床淋巴结阴性(cN0)的T1和T2期浸润性乳腺癌患者前哨淋巴结(SLN)转移的预测价值。
在这项回顾性双中心研究中,纳入了2016年1月至2019年12月期间在两个独立机构接受术前乳腺MRI检查、经临床检查、超声和MRI确诊为cN0浸润性乳腺癌的女性。评估T2加权图像上的乳腺水肿情况。进行单因素和多因素逻辑回归分析以确定SLN转移的独立预测因素。计算受试者操作特征曲线(AUC)下面积和阴性预测值(NPV)。
在381例患者中,主要队列的267例患者中有67例(25.1%)观察到SLN转移,验证队列的114例患者中有24例(21.1%)观察到SLN转移。乳腺水肿在两个队列中均与SLN转移独立相关。仅基于乳腺水肿的模型在主要队列中的AUC为0.738(95%CI:0.667 - 0.809),NPV为89%,在验证队列中表现一致。与仅使用临床病理特征(年龄和分子亚型)的模型相比,纳入乳腺水肿的联合模型显著提高了预测性能(AUC:0.822对0.654,p < 0.001;NPV:92%对83%),这在验证队列中得到证实(AUC:0.793对0.616,p = 0.021;NPV:92%对88%)。
乳腺水肿与SLN转移独立相关。乳腺水肿与临床病理特征相结合可能有助于识别SLN转移风险较低的患者,潜在地有助于做出省略前哨淋巴结活检(SLNB)的决策。