Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach
Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach
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B型超声与应变弹性成像在放射组学方法估计甲状腺乳头状癌淋巴结转移中的应用比较
DOI：
10.1007/s11548-018-1796-5
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发表时间：
2018-10-01
影响因子：
3
通讯作者：
Cui, Ligang
中科院分区：
文献类型：
--
作者：
Liu, Tongtong;Ge, Xifeng;Cui, Ligang
B型超声（B-US）和应变弹性成像超声（SE-US）图像具有区分甲状腺肿瘤与不同淋巴结（LN）状态的潜力。为探讨B超和SE超联合应用对甲状腺乳头状癌（PTC）淋巴结转移的鉴别诊断价值，回顾性分析75例PTC患者的B超和SE超图像。本研究开发了一种放射组学方法来估计PTC患者的LNs状态。该方法包括图像分割、定量特征提取、特征选择和分类。从B超、SE超和包含B超和SE超的多模态中提取三个特征集。它们被用来评估不同模式的贡献。在我们的研究中，共提取了684个放射组学特征。采用基于稀疏表示系数的10-bootstrap特征选择方法对特征集进行降维。采用留一交叉验证的支持向量机建立LN诊断模型，利用B超和SE超的特征，基于放射组学的模型的受试者工作特征曲线下面积（AUC）为0.90，准确度（ACC）为0.85，敏感度（SENS）为0.77，特异度（SPEC）为0.88，多模态图像在放射组学研究中提供了更多的信息。联合应用B超和SE超可提高PTC患者淋巴结转移判断的准确性。
B-mode ultrasound (B-US) and strain elastography ultrasound (SE-US) images have a potential to distinguish thyroid tumor with different lymph node (LN) status. The purpose of our study is to investigate whether the application of multi-modality images including B-US and SE-US can improve the discriminability of thyroid tumor with LN metastasis based on a radiomics approach.Ultrasound (US) images including B-US and SE-US images of 75 papillary thyroid carcinoma (PTC) cases were retrospectively collected. A radiomics approach was developed in this study to estimate LNs status of PTC patients. The approach included image segmentation, quantitative feature extraction, feature selection and classification. Three feature sets were extracted from B-US, SE-US, and multi-modality containing B-US and SE-US. They were used to evaluate the contribution of different modalities. A total of 684 radiomics features have been extracted in our study. We used sparse representation coefficient-based feature selection method with 10-bootstrap to reduce the dimension of feature sets. Support vector machine with leave-one-out cross-validation was used to build the model for estimating LN status.Using features extracted from both B-US and SE-US, the radiomics-based model produced an area under the receiver operating characteristic curve (AUC) 0.90, accuracy (ACC) 0.85, sensitivity (SENS) 0.77 and specificity (SPEC) 0.88, which was better than using features extracted from B-US or SE-US separately.Multi-modality images provided more information in radiomics study. Combining use of B-US and SE-US could improve the LN metastasis estimation accuracy for PTC patients.