| 于鑫,赵俊杰,刘峰,常红军.临床病理特征结合SWE参数对乳腺癌腋窝淋巴结转移的预测价值.[J].中南医学科学杂志.,2024,(1):131-134. |
| 临床病理特征结合SWE参数对乳腺癌腋窝淋巴结转移的预测价值 |
| Prognostic value of clinicopathological features combined with SWE parameters in axillary lymph node metastasis of breast cancer |
| 投稿时间：2023-07-19 修订日期：2023-12-12 |
| DOI：10.15972/j.cnki.43-1509/r.2024.01.032 |
| 中文关键词: 剪切波弹性成像 临床病理特征 乳腺癌 淋巴结 肿瘤转移 [ |
| 英文关键词:SWE clinicopathological features breast cancer lymph gland tumor metastasis |
| 基金项目:吴阶平医学基金会临床科研专项资助基金课题项目(320.6750.2020-20-29) |
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| 中文摘要: |
| 目的探讨临床病理特征结合剪切波弹性成像(SWE)参数对乳腺癌腋窝淋巴结转移的预测价值。 方法将本院收治的72例乳腺癌患者均行SWE检查、同侧腋窝淋巴结清扫或前哨淋巴结活检。根据腋窝淋巴结是否发生转移分为未转移组39例与转移组33例。采用单因素及多因素Logistic分析腋窝淋巴结转移的风险因素。采用ROC曲线评估临床病理特征联合SWE对腋窝淋巴结转移的诊断效能。结果单因素分析结果显示,两组组织学分级、淋巴管血管侵犯、病灶微钙化、Ki-67、淋巴结最大纵径、淋巴结最大横径、淋巴结皮质厚度、弹性模量平均值(Emean)、弹性模量最大值(Emax)及弥散度(SD)比较,差异有显著性(P＜0.05)。多因素Logistic回归结果显示,淋巴管血管侵犯、组织学分级(Ⅲ级)、Emax及SD为乳腺癌患者发生腋窝淋巴结转移的危险因素(P＜0.05)。ROC结果显示,组织学分级为Ⅲ级、存在淋巴管血管侵犯、Emax≥45.635 kPa、SD≥8.450的联合预测效能高于各指标单独预测效能。 结论临床病理特征结合SWE参数对乳腺癌腋窝淋巴结转移具有一定的预测价值。 |
| 英文摘要: |
| AimTo investigate the value of clinicopathological features combined with shear wave elastography (SWE) parameters in predicting axillary lymph node metastasis of breast cancer. Methods72 patients with breast cancer in our hospital received SWE parameter examinations, ipsilateral axillary lymph node dissection or sentinel lymph node biopsy. According to the occurrence of axillary lymph node metastasis, 33 and 39 cases were divided into metastatic group and non-metastatic group, respectively.The risk factors of axillary lymph node metastasis were analyzed by single factor and multiple factor Logistic analysis. ROC curve was used to evaluate the diagnostic efficacy of clinicopathology combined with SWE in axillary lymph node metastasis. ResultsThe results of univariate analysis showed that there were statistically significant differences in histological grade, lymphovascular invasion, microcalcification, Ki-67, maximum longitudinal diameter of lymph nodes, maximum transverse diameter of lymph nodes, cortical thickness of lymph nodes, average elastic modulus (Emean), maximum elastic modulus (Emax), and standard deviation (SD) between the two groups(P＜0.05). The results of multivariate Logistic regression analysis showed that lymphovascular invasion, histological grade (grade Ⅲ), Emax, and SD were risk factors for axillary lymph node metastasis in breast cancer patients (P＜0.05). ROC results showed that the combined prediction efficiency of grade Ⅲ histology, lymphatic vessel invasion, Emax≥45.635 kPa, SD≥8.450 was higher than that of each index alone. ConclusionClinicopathological features combined with SWE parameters have certain predictive value for axillary lymph node metastasis of breast cancer. |
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