乳腺癌相关参数联合腋窝淋巴结超声阳性特征对淋巴结转移负荷的预测价值
常乾坤 , 吴文瑛 , 白春强 , 丁智超 , 王伟芳 , 刘铭函
吉林大学学报(医学版) ›› 2025, Vol. 51 ›› Issue (06) : 1670 -1678.
乳腺癌相关参数联合腋窝淋巴结超声阳性特征对淋巴结转移负荷的预测价值
Predictive value of breast cancer related parameters combined with positive axillary lymphnode ultrasound features for lymphnode metastasis burden
目的 分析乳腺癌相关参数及腋窝淋巴结阳性超声特征,探讨腋窝淋巴结转移负荷的危险因素,为乳腺癌患者术前评估提供依据。 方法 回顾性分析经手术病理证实存在腋窝淋巴结转移的574例乳腺癌患者的超声和临床病理资料,根据腋窝淋巴结转移情况,分为低淋巴结负荷(LNB)组(n=283)和高淋巴结负荷(HNB)组(n=291)。比较2组患者患侧、肿物所在象限、距皮肤距离、最大径线、内部回声、形态、边缘、钙化、血供、后方回声、淋巴结长径、淋巴结短径、淋巴结纵横比、可疑转移数量、淋巴结内血供、淋巴结门形态、年龄、病理类型、组织学分级、分子分型及雌激素受体(ER)、孕激素受体(PR)、Ki-67、人表皮生长因子受体2(HER2)和P53表达情况。采用Logistic回归分析乳腺癌患者腋窝淋巴结转移负荷的危险因素,采用受试者工作特征(ROC)曲线和曲线下面积(AUC)评价预测价值。 结果 单因素分析,2组患者肿物所在象限、距皮肤距离、分子分型、HER2阳性表达、淋巴结长径、淋巴结短径、淋巴结纵横比、可疑转移数量和淋巴结门形态比较差异有统计学意义(P<0.05)。多因素Logistic回归分析,肿物位于外上象限(OR=0.648,P=0.021)、距皮肤距离<5 mm(OR=0.283,P=0.016)、Luminal A(OR=1.564,P=0.044)、淋巴结长径≥20 mm(OR=2.050,P<0.01)、淋巴结短径≥8.6 mm(OR=2.430,P<0.01)、淋巴结纵横比<2(OR=1.585,P<0.01)和淋巴结门形态不清晰(OR=2.092,P<0.01)是腋窝淋巴结转移负荷的独立危险因素。ROC曲线分析,与腋窝淋巴结阳性超声特征比较,乳腺癌相关参数联合腋窝淋巴结阳性超声特征的AUC较大(Z=2.72,P=0.006 5),对腋窝淋巴结转移负荷的预测价值更高。 结论 乳腺癌所在象限、距皮肤距离、分子分型、淋巴结长径、淋巴结短径、淋巴结纵横比和淋巴结门形态是腋窝淋巴结转移负荷的独立危险因素,对腋窝淋巴结转移负荷有一定预测价值。
Objective To analyze the breast cancer-related parameters and the ultrasonic features of positive axillary lymph nodes, to discuss the risk factors for axillary lymphnode metastatic burden, and to provide basis for preoperative evaluation of breast cancer patients. Methods The ultrasonic and clinicopathological data of 574 breast cancer patients with axillary lymph node metastasis confirmed by surgery and pathology were retrospectively analyzed. According to the status of axillary lymphnode metastasis, the patients were divided into low nodal burden (LNB) group (n=283) and high nodal burden (HNB) group (n=291). The affected side, tumor quadrant, distance to skin, maximum diameter, internal echogenicity, shape, margin, calcification, blood supply, posterior echo, lymphnode long diameter, lymphnode short diameter, lymphnode aspect ratio, number of suspicious metastases, intranodal blood supply, lymphnode hilum morphology, age, pathological type, histological grade, molecular subtype, and the expressions of estrogen receptor (ER), progesterone receptor (PR), Ki-67, human epidermal growth factor receptor 2 (HER2), and P53 were compared between two groups. Logistic regression was used to analyze the risk factors for axillary lymph node metastatic burden in the breast cancer patients; receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive value. Results The univariate analysis results showed that there were statistically significant differences in tumor quadrant, distance to skin, molecular subtype, HER2 positive expression, lymphnode long diameter, lymph node short diameter, lymph node aspect ratio, number of suspicious metastases, and lymphnode hilum morphology between two groups (P<0.05). The multivariate Logistic regression analysis results showed that tumor located in the upper outer quadrant (OR=0.648, P=0.021), distance to skin <5 mm (OR=0.283, P=0.016), Luminal A (OR=1.564, P=0.044), lymphnode long diameter ≥20 mm (OR=2.050, P<0.01), lymphnode short diameter ≥8.6 mm (OR=2.430, P<0.01), lymph node aspect ratio <2 (OR=1.585, P<0.01), and indistinct lymphnode hilum structure (OR=2.092, P<0.01) were the independent risk factors for axillary lymphnode metastatic burden. The ROC curve analysis results showed that compared with the ultrasonic features of positive axillary lymph nodes, the AUC of the combination of breast cancer-related parameters and ultrasonic features of positive axillary lymphnodes was larger (Z=2.72, P=0.006 5), and it had higher predictive value for axillary lymphnode metastatic burden. Conclusion The tumor quadrant, distance to skin, molecular subtype, lymphnode long diameter, lymph node short diameter, lymphnode aspect ratio, and lymphnode hilum structure are the independent risk factors for axillary lymphnode metastatic burden, and they have certain predictive value for axillary lymphnode metastatic burden.
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河北省卫健委医学科学研究项目(20231364)
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