| 摘要: |
| 摘要:目的 基于常规超声及超声剪切波弹性成像参数构建乳腺癌淋巴结转移的DynNom动态评分模型。方法 选取2021年7月至2023年12月进入医院的155例乳腺癌患者作为研究对象，对所有乳腺癌患者行常规超声及超声剪切波弹性成像检查，根据淋巴结转移情况将患者分为淋巴结转移组和无淋巴结转移组。采用Logistic回归筛选乳腺癌淋巴结转移的危险因素，采用R软件构建乳腺癌淋巴结转移的列线图模型，并对乳腺癌淋巴结转移的列线图模型进行内部验证。结果 155例乳腺癌患者中有50例患者出现淋巴结转移，淋巴结转移的发生率为32.26%（50/155）。Logistic回归分析结果显示，脉管侵犯、形态不规则、钙化、SD、Emean及Emax是乳腺癌淋巴结转移的危险因素（P<0.05）。基于乳腺癌淋巴结转移危险因素建立了动态列线图模型，乳腺癌淋巴结转移的列线图模型的校正曲线的实际概率和预测概率的基本一致；模型的ROC曲线下面积是0.899（95%CI：0.848~0.951）；决策曲线显示阈值概率是1%~92%时，列线图预测乳腺癌淋巴结转移的净获益值较高。结论 脉管侵犯、形态不规则、钙化、SD、Emean及Emax是乳腺癌淋巴结转移的危险因素，构建的乳腺癌淋巴结转移的动态列线图模型具有较高的准确性及临床实用性。 |
| 关键词: 常规超声 超声剪切波弹性成像参数 乳腺癌 淋巴结转移 危险因素 动态列线图模型 |
| DOI： |
| 投稿时间：2024-04-15修订日期：2024-07-06 |
| 基金项目: |
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| Prediction of risk factors of breast cancer lymph node metastasis based on conventional ultrasound and ultrasonic shear wave elastic imaging parameters and application value of DynNom dynamic scoring model |
| ZHOU Wei,WANG Yan |
| () |
| Abstract: |
| ABSTRACT Objective To construct DynNom dynamic scoring model for breast cancer lymph node metastasis based on conventional ultrasound and ultrasonic shear wave elastic imaging parameters. Methods A total of 155 patients with breast cancer admitted to the hospital from July 2021 to December 2023 were selected as the study objects. Routine ultrasound and ultrasonic shear wave elastography were performed on all patients with breast cancer, and the patients were divided into a lymph node metastasis group and a group without lymph node metastasis according to their lymph node metastasis. Logistic regression was used to screen the risk factors of breast cancer lymph node metastasis. R software was used to construct the nomogram model of breast cancer lymph node metastasis, and the nomogram model of breast cancer lymph node metastasis was internally verified. Results Lymph node metastasis occurred in 50 of 155 patients with breast cancer, and the incidence of lymph node metastasis was 32.26% (50/155). Logistic regression analysis showed that vascular invasion, irregular morphology, calcification, SD, Emean and Emax were risk factors for lymph node metastasis of breast cancer (P<0.05). Based on the risk factors of breast cancer lymph node metastasis, a dynamic nomogram model was established. The actual probability of the correction curve of the nomogram model of breast cancer lymph node metastasis was consistent with the predicted probability. The area under ROC curve of the model was 0.899 (95%CI: 0.848~0.951). When the decision curve shows a threshold probability of 1% to 92%, the net benefit value predicted by the nomogram for breast cancer lymph node metastasis is higher. Conclusion Vascular invasion, irregular morphology, calcification, SD, Emean and Emax are risk factors for lymph node metastasis of breast cancer. The dynamic nomogram model of lymph node metastasis of breast cancer constructed has high accuracy and clinical practicability. |
| Key words: conventional ultrasound Ultrasonic shear wave elastic imaging parameters Breast cancer Lymph node metastasis Risk factors Dynamic nomogram model |
