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Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence

文献类型：期刊论文

作者Tan, Hongna1,5; Gan, Fuwen3,4; Wu, Yaping1,5; Zhou, Jing1,5; Tian, Jie2; Lin, Yusong3,4; Wang, Meiyun1,5
刊名ACADEMIC RADIOLOGY
出版日期2020-09-01
卷号27期号:9页码:1217-1225
关键词Breast cancer Axillary lymph node Metastasis MRI Radiomics
ISSN号1076-6332
DOI10.1016/j.acra.2019.11.004
通讯作者Wang, Meiyun(mywang@ha.edu.cn)
英文摘要Rationale and Objectives: To investigate the value of radiomics method based on the fat-suppressed T2 sequence for preoperative predicting axillary lymph node (ALN) metastasis in breast carcinoma. Materials and Methods: The data of 329 invasive breast cancer patients were divided into the primary cohort (n = 269) and validation cohort (n = 60). Radiomics features were extracted from the fat-suppressed T2-weighted images on breast MRI, and ALN metastasis-related radiomics feature selection was performed using Mann-Whitney U-test and support vector machines with recursive feature elimination; then a radiomics signature was constructed by linear support vector machine. The predictive models were constructed using a linear regression model based on the clinicopathologic factors and radiomics signature, and nomogram was used for a visual prediction of the combined model. The predictive performances are evaluated with the sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve. Results: A total of 647 radiomics features were extracted from each patient. About 23 ALN metastasis-related radiomics features were selected to construct the radiomics signature, including 17 texture features, 5 first-order statistical features, and one shape feature; patient age, tumor size, HER2 status, and vascular cancer thrombus accompanied or not were selected to construct the cilinicopathologic feature model. The sensitivity, specificity, accuracy, and are under the curve value of radiomics signature, clinicopathologic feature model, and the nomogram were 65.22%, 81.08%, 75.00%, and 0.819 (95% confidence interval [CI]: 0.776-0.861), 30.44%, 81.08%, 61.67%, and 0.605 (95% CI: 0.571-0.624) and 60.87%, 89.19%, 78.33%, and 0.810 (95% CI: 0.761-0.855), respectively. Conclusion: Radiomics methods based on the fat-suppressed T2 sequence and the nomogram are helpful for preoperative accurate predicting ALN metastasis.
WOS关键词CANCER STATISTICS ; MRI ; MULTICENTER ; ACCURACY ; NOMOGRAM
资助项目China Postdoctoral Science Foundation[2018M632779] ; National Natural Scientific Foundation of China[81401378] ; National Natural Scientific Foundation of China[81772009] ; Henan Provincial Department of Science and Technology Research Project[201602221] ; Henan Provincial Department of Science and Technology Research Project[182102310162]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000565915300005
出版者ELSEVIER SCIENCE INC
资助机构China Postdoctoral Science Foundation ; National Natural Scientific Foundation of China ; Henan Provincial Department of Science and Technology Research Project
源URL[http://ir.ia.ac.cn/handle/173211/41523]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Wang, Meiyun
作者单位1.Zhengzhou Univ, Dept Radiol, Henan Prov Peoples Hosp, 7 Rd,Weiwu Rd, Zhengzhou 450003, Henan, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450052, Henan, Peoples R China
4.Zhengzhou Univ, Collaborat Innovat Ctr Internet Healthcare, Zhengzhou 450052, Henan, Peoples R China
5.Zhengzhou Univ, Imaging Diag Neurol Dis & Res Lab, Henan Prov & Peoples Hosp, 7 Rd,Weiwu Rd, Zhengzhou 450003, Henan, Peoples R China
推荐引用方式
GB/T 7714		 Tan, Hongna,Gan, Fuwen,Wu, Yaping,et al. Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence[J]. ACADEMIC RADIOLOGY,2020,27(9):1217-1225.
APA Tan, Hongna.,Gan, Fuwen.,Wu, Yaping.,Zhou, Jing.,Tian, Jie.,...&Wang, Meiyun.(2020).Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence.ACADEMIC RADIOLOGY,27(9),1217-1225.
MLA Tan, Hongna,et al."Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence".ACADEMIC RADIOLOGY 27.9(2020):1217-1225.

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来源：自动化研究所

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