临床外科杂志 ›› 2025, Vol. 33 ›› Issue (8): 846-851.doi: 10.3969/j.issn.1005-6483.20240792

• 论著 • 上一篇    下一篇

乳腺癌新辅助化疗后前哨淋巴结转移完全缓解的预测模型构建

  

  1. 730000  甘肃兰州,兰州大学第一医院乳腺病科 
  • 收稿日期:2024-05-24 修回日期:2024-05-24 出版日期:2025-08-20 发布日期:2025-08-20
  • 通讯作者: 武君,Email:944407085@qq.com

Prediction model establishment for complete resolution of sentinel lymph node metastasis after neoadjuvant chemotherapy in breast cancer

  1. Department of Breast Diseases,the First Hospital of Lanzhou University,Gansu,Lanzhou 730000,China
  • Received:2024-05-24 Revised:2024-05-24 Online:2025-08-20 Published:2025-08-20

摘要: 目的 探讨乳腺癌新辅助化疗后前哨淋巴结转移完全缓解(pCR)的相关因素,并建立预测模型。方法 2022年1月~2024年2月接受新辅助化疗的女性乳腺癌病人136例,依据80/20定律随机分为分为训练集(108例)和验证集(28例)。根据乳腺癌病人新辅助化疗后腋窝淋巴结清扫术(ALND)病理检查结果,分为前哨淋巴结pCR组与非pCR组。应用多因素logistic回归分析筛选前哨淋巴结未达到pCR的独立风险因素;基于筛选出的风险因素构建列线图预测模型;通过绘制受试者工作特征(ROC)曲线计算ROC曲线下面积、灵敏度、特异度评估模型的区分度。结果 训练集108例乳腺癌病人中,前哨淋巴结pCR 46例(42.59%,46/108);乳腺原发肿瘤病灶pCR 33例(30.56%)。非pCR组临床分期Ⅲ期占比、治疗前后淋巴结短径缩小<50%占比、治疗前后肿瘤最大径缩小<50%占比、淋巴结分型Ⅲ型占比、血流分级Ⅲ级占比高于pCR组,差异有统计学意义(P<0.05)。多因素logistic回归分析结果显示,临床分期(OR=3.593,95%CI:1.276~10.121)、治疗前后淋巴结短径缩小<50%(OR=4.272,95%CI:1.517~12.032)、治疗前后肿瘤最大径缩小<50%(OR=3.710,95%CI:1.317~10.449)、淋巴结分型(OR=3.827,95%CI:1.359~10.779)、血流分级(OR=4.764,95%CI:1.691~13.418)是乳腺癌病人新辅助化疗后前哨淋巴结未达到pCR的风险因素(P<0.05)。风险模型预测训练集乳腺癌病人新辅助化疗后前哨淋巴结未达到pCR的灵敏度为0.826(95%CI:0.705~0.943),特异度为0.826(95%CI:0.712~0.919),ROC曲线下面积为0.847(95%CI:0.738~0.952)。风险模型预测验证集乳腺癌病人新辅助化疗后前哨淋巴结未达到pCR的灵敏度为0.731(95%CI:0.608~0.904),特异度为0.827(95%CI:0.713~0.941),ROC曲线下面积为0.834(95%CI:0.729~0.951)。结论 临床分期、治疗前后淋巴结短径变化、治疗前后肿瘤最大径变化、淋巴结分型、血流分级与乳腺癌病人新辅助化疗后前哨淋巴结pCR有关,以此构建的预测模型有助于评估新辅助化疗后前哨淋巴结pCR情况。

关键词: 乳腺癌, 新辅助化疗, 前哨淋巴结, 完全缓解, 预测模型

Abstract: Objective  To explore the factors associated with complete resolution of sentinel lymph node metastasis (pCR) after neoadjuvant chemotherapy in breast cancer and to establish a predictive model.Methods The medical records of 136 female patients with breast cancer who received neoadjuvant chemotherapy in the First Hospital of Lanzhou University from January 2022 to February 2024 were retrospectively analyzed.According to the 80/20 rule,the patients were randomly divided into a training set (108 cases) and a validation set (28 cases).Based on the pathological examination results of axillary lymph node dissection (ALND) after neoadjuvant chemotherapy in breast cancer patients,they were classified into the sentinel lymph node pCR group and non-pCR group.Multivariate logistic regression analysis was used to screen the independent risk factors of sentinel lymph nodes failing to reach pCR.Build a nomogram prediction model based on the screened risk factors.By drawing the receiver operating characteristic(ROC) curve calculation curve, the area under ROC curve, sensitivity and specificity are used to evaluate the discrimination of the model.Results Among the 108 breast cancer patients,46 cases achieved pCR in the sentinel lymph nodes,accounting for 42.59% (46 cases/108 cases).In addition,33 cases (30.56%) achieved pCR in the primary tumor lesion.The non-pCR group showed a higher proportion of stage Ⅲ clinical staging,lymph node short-axis reduction of less than 50% before and after treatment,tumor maximum diameter reduction of less than 50% before and after treatment,lymph node type Ⅲ classification,and blood flow grade Ⅲ compared to the pCR group (P<0.05).Multivariate logistic regression analysis showed that Clinical staging (OR=3.593,95%CI:1.276~10.121),lymph node short-axis reduction of less than 50% before and after treatment (OR=4.272,95%CI:1.517~12.032),tumor maximum diameter reduction of less than 50% before and after treatment (OR=3.710,95%CI:1.317~10.449),lymph node type (OR=3.827,95%CI:1.359~10.779),and blood flow grade (OR=4.764,95%CI:1.691~13.418) were identified as risk factors for not achieving pCR in the sentinel lymph nodes after neoadjuvant chemotherapy in breast cancer patients (P<0.05).The sensitivity of the risk model for predicting non-achievement of pCR in the sentinel lymph nodes after neoadjuvant chemotherapy in the training set of breast cancer patients was 0.826 (95%CI:0.705~0.943),with a specificity of 0.826 (95%CI:0.712~0.919) and an area under the ROC curve of 0.847 (95%CI:0.738~0.952).In the validation set,the sensitivity for predicting non~achievement of pCR in the sentinel lymph nodes after neoadjuvant chemotherapy in breast cancer patients was 0.731 (95%CI:0.608~0.904),with a specificity of 0.827 (95%CI:0.713~0.941) and an area under the ROC curve of 0.834 (95%CI:0.729~0.951).Conclusion Clinical staging,changes in lymph node short-axis before and after treatment,changes in tumor maximum diameter before and after treatment,lymph node type,and blood flow grade are associated with pCR in the sentinel lymph nodes after neoadjuvant chemotherapy in breast cancer patients.Constructing a predictive model can help evaluate the pCR status of sentinel lymph nodes after neoadjuvant chemotherapy.

Key words: breast cancer, neoadjuvant chemotherapy, sentinel lymph nodes, complete relief, prediction model

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