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Cited by in CrossRef
For: Xu P, Wu M, Yang M, Xiao J, Ruan ZM, Wu LY. Evaluation of internal and shell stiffness in the differential diagnosis of breast non-mass lesions by shear wave elastography. World J Clin Cases 2020; 8(12): 2510-2519 [PMID: 32607328 DOI: 10.12998/wjcc.v8.i12.2510]
URL: https://www.wjgnet.com/2307-8960/full/v8/i12/2510.htm
Number Citing Articles
1
Y. Yu, X. Ye, J. Yang, L. Chen, M. Zhang, Y. He, Z. Chen. Application of a shear-wave elastography prediction model to distinguish between benign and malignant breast lesions and the adjustment of ultrasound Breast Imaging Reporting and Data System classificationsClinical Radiology 2022; 77(2): e147 doi: 10.1016/j.crad.2021.10.016
2
Lei Tang, Yuqun Wang, Pingping Chen, Man Chen, Lixin Jiang. Clinical use and adjustment of ultrasound elastography for breast lesions followed WFUMB guidelines and recommendations in the real worldFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.1022917
3
Tian Zhang, Yuanbo Jia, Yang Yu, Baojun Zhang, Feng Xu, Hui Guo. Targeting the tumor biophysical microenvironment to reduce resistance to immunotherapyAdvanced Drug Delivery Reviews 2022; 186: 114319 doi: 10.1016/j.addr.2022.114319
4
Shaofu Hong, Weiyue Li, Wenjing Gao, Mengmeng Liu, Di Song, Yinghui Dong, Jinfeng Xu, Fajin Dong. Diagnostic performance of elastography for breast non-mass lesions: A systematic review and meta-analysisEuropean Journal of Radiology 2021; 144: 109991 doi: 10.1016/j.ejrad.2021.109991
5
Sepideh Sefidbakht, Sara Haseli, Neda Khalili, Vahid Bazojoo, Pedram Keshavarz, Banafsheh Zeinali-Rafsanjani. Can shear wave elastography be utilized as an additional tool for the assessment of non-mass breast lesions?Ultrasound 2022; 30(1): 44 doi: 10.1177/1742271X21998721
6
Rui Zhao, Huan Jiang, Jingyan Cao, Bo Li, Lili Xu, Shaochun Dai. Prediction of Axillary Lymph Node Metastasis in Invasive Breast Cancer by Sound Touch ElastographyUltrasound in Medicine & Biology 2022; 48(9): 1879 doi: 10.1016/j.ultrasmedbio.2022.05.018
7
Ying Duan, Yangyang Zhu, Fang Nie, Ling Guan, Yingying Jia, Kundi Chen, Weili Wang. Predictive value of combining clinicopathological, multimodal ultrasonic characteristics in axillary lymph nodal metastasis burden of patients with cT1-2N0 breast cancerClinical Hemorheology and Microcirculation 2022; 81(3): 255 doi: 10.3233/CH-221398
8
Li Xie, Zhen Liu, Chong Pei, Xiao Liu, Ya-yun Cui, Nian-an He, Lei Hu. Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancerFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1099650
9
Hong Li, Peng Cong, Ya-Na Yu, Yun-Fei Zhang. Value of sonoelastography for diagnosis of breast non-mass lesions and comparison with BI-RADS: A systematic review and meta-analysisMedicine 2024; 103(23): e38425 doi: 10.1097/MD.0000000000038425