基于ABVS联合VTIQ技术构建乳腺癌腋窝淋巴结高转移负荷预测模型的研究  

A Research of Model Construction Based on ABVS Combined with VTIQ to Predict High Transfer Burden of Axillary Lymph Nodes in Breast Cancer

作　　者：王美晨 史丽群 李照喜 Wang Meichen;Shi Liqun;Li Zhaoxi(Department of Physical Diagnosis,Huadong Sanatorium,Wuxi,Jiangsu 214065,China)

机构地区：[1]华东疗养院物理诊断科,江苏省无锡市214065

出　　处：《中国超声医学杂志》2022年第12期1354-1357,共4页Chinese Journal of Ultrasound in Medicine

基　　金：上海市卫生健康委员会科研项目基金(No.20214Y0505)。

摘　　要：目的 探讨自动乳腺全容积(ABVS)联合声触诊组织成像定量(VTIQ)技术在乳腺癌同侧腋窝淋巴结转移负荷术前预测中的应用价值。方法 回顾性分析106例乳腺癌,利用ABVS联合VTIQ技术评估病灶。单因素和多因素二元Logistic回归分析观察指标与腋窝淋巴结转移负荷的相关性,建立预测模型,采用受试者工作特征(ROC)曲线评价模型。结果 病灶剪切波速度(SWV)的最大值(Smax)以>6.06 m/s,平均值(Smean)>3.93 m/s为界,预测同侧腋窝淋巴结高转移负荷的效能最佳。依据独立危险因素建立的Logistic回归模型方程为:Logistic(P)=-5.164+1.437×最大径(>2.0 cm)+1.542×血流信号Ⅱ~Ⅲ级+1.329×可疑淋巴结数(≥3)+1.754×距乳头距离(≤2.0 cm)+1.871×距皮肤距离(≤0.5 cm)+1.336×冠状面“汇聚征”。模型诊断腋窝淋巴结高转移负荷的ROC曲线曲线下面积(AUC)值为0.885,灵敏度为78.3%,特异度为81.7%。结论 乳腺癌同侧腋窝淋巴结高转移负荷的Logistic回归预测模型有一定临床预测价值。Objective To investigate the value of automated breast volume scanner(ABVS) combined with virtual touch tissue imaging quantification(VTIQ) in preoperative predicting the ipsilateral axillary lymph node metastatic burden in breast cancer. Methods A retrospective analysis was performed on 106 cases of breast cancer evaluated by ABVS combined with VTIQ. The univariate and multivariate binary Logistic regression were used to analyze the correlation between observation indexes and axillary lymph node metastasis burden, and established a prediction model. Receiver operating characteristic(ROC) curve was used to evaluate the model. Results The max and the mean of shear wave velocity(SWV) more than 6.06 m/s and 3.93 m/s respectively had the best efficacy in prediction of ipsilateral axillary lymph node metastatic burden. The Logistic regression model equation established based on independent risk factors was: Logistic(P)=-5.164+1.437×maximum diameter(>2.0 cm)+1.542×Blood flow signal level Ⅱ-Ⅲ+1.329×suspicious lymph node number(≥3)+1.754×distance from nipple(≤2.0 cm)+1.871×distance from skin(≤0.5 cm)+1.336×coronal plane “convergence sign”. The area under curve(AUC) value of ROC curve was 0.885, sensitivity was 78.3%, and specificity was 81.7% for the diagnosis of axillary lymph node high metastatic burden. Conclusions The Logistic regression prediction model of high metastatic burden of ipsilateral axillary lymph node in breast cancer has certain clinical prediction value.

关 键 词：自动乳腺全容积 弹性成像 转移负荷 回归模型 

分 类 号：R445.1[医药卫生—影像医学与核医学] R737.9[医药卫生—诊断学]