Suo Jingfeng, Zhang Qi, Chang Wanying, Shi Jun, Yan Zhuangzhi, Chen Man
Institute of Biomedical Engineering, Shanghai University, Shanghai, 200444.
Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025.
Zhongguo Yi Liao Qi Xie Za Zhi. 2017 Sep 30;41(5):313-316. doi: 10.3969/j.issn.1671-7104.2017.05.001.
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.
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.
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.
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.
探讨由弹性成像和B超组成的双模态超声定量影像组学特征对乳腺癌患者腋窝淋巴结转移的诊断价值。
我们回顾性分析了158例乳腺癌患者的161个腋窝淋巴结（69个良性，92个转移灶），这些淋巴结均接受了实时弹性成像和B超检查。我们共提取了428个特征，包括B超的形态学特征、双模态的强度特征和灰度共生矩阵特征，并在留一法交叉验证的条件下通过最小绝对收缩和选择算子（Lasso）选择了最佳特征子集。我们使用支持向量机对良性和转移淋巴结进行分类。
通过Lasso选择的35个影像组学特征的敏感性、特异性、准确性和尤登指数分别为86.96%、85.51%、86.34%和72.46%。
双模态超声（弹性成像和B超）的影像组学特征在分类方面表现良好，有潜力应用于腋窝淋巴结转移的临床诊断。
