依托弹性与B型双模态超声影像组学的腋窝淋巴结转移评价

Evaluation of Axillary Lymph Node Metastasis by Using Radiomics of Dual-modal Ultrasound Composed of Elastography and B-mode

目的探索弹性与B型双模态超声影像组学定量特征对乳腺癌腋窝淋巴结转移的诊断价值。方法回顾性分析来自158位乳腺癌患者的161个腋窝淋巴结(良性69个,转移性92个)的弹性与B型超声图像。计算病灶的B型形态学特征和双模态的影像强度特征与灰度共生矩阵特征,共428个特征。在留一法情况下通过最小绝对压缩(Lasso)法进行特征选择得到最佳特征组合,并利用支持向量机进行良性与转移性的分类。结果通过Lasso法选出的35个影像组学特征,其敏感性、特异性、准确率和约登指数分别为86.96%、85.51%、86.34%和72.46%。结论弹性与B型双模态超声影像组学定量特征取得较高的分类性能,有望应用于腋窝淋巴结转移的临床诊断。

Objective To explore the diagnostic value of quantitative radiomics features from dual-modal ultrasound composed of elastography and B-mode for axillary lymph node metastasis in breast cancer patients. Methods We retrospectively analyzed 161 axillary lymph nodes （69 benign and 92 metastatic） undergoing real-time elastography and B-mode ultrasound from 158 patients with breast cancer. We extracted a total of 428 features, consisting of morphologic features from B-mode, and intensity features and gray-level co-occurrence matrix features from the dual modalities, and the optimal subsut of features was selected through least absolute shrinkage and selection operator （Lasso） under the condition of leave-one-out cross validation. We used SVM for the classification of benign and metastatic nodes. Results The sensitivity, specificity, accuracy and Youden＇s index of the 35 radiomics features selected with Lasso were 86.96%, 85.51%, 86.34% and 72.46%, respectively. Conclusion The radiomics features from dual-modal ultrasound （elastography and B-mode） have demonstrated good performance for classification and have potential to be applied to clinical diagnosis of axillary lymph node metastasis.