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Cited by in CrossRef
For: Guo J, Jiang D, Qian Y, Yu J, Gu YJ, Zhou YQ, Zhang HP. Differential diagnosis of different types of solid focal liver lesions using two-dimensional shear wave elastography. World J Gastroenterol 2022; 28(32): 4716-4725 [PMID: 36157921 DOI: 10.3748/wjg.v28.i32.4716]
URL: https://www.wjgnet.com/1949-8470/full/v28/i32/4716.htm
Number Citing Articles
1
艳 齐. Progress in Clinical Application of Ultrasound Elastography Technology in Breast LesionsAdvances in Clinical Medicine 2024; 14(03): 73 doi: 10.12677/ACM.2024.143667
2
N. M. Kostyleva, V. I. Trachuk. Estimation of the stiffness of hepatic metastases of colorectal cancer and surrounding parenchyma by ultrasound elastometryThe Ukrainian Journal of Clinical Surgery 2025; 92(1): 36 doi: 10.26779/2786-832X.2025.1.36
3
Ying Xu, Ying-Long Guo, Qian-Yu Lv, Zheng Wang, Jian Zhou, Jie Hu. From Large-Scale Characterization to Subgroup-Specific Predictive Modeling: A Study on the Diagnostic Value of Liver Stiffness Measurements in Focal Liver LesionsDiagnostics 2025; 15(16): 1986 doi: 10.3390/diagnostics15161986
4
Mustafa Özdemir, Ural Koç, Muhammet Batuhan Gökhan, Muhammed Said Beşler. Unveiling the potential of strain elastography in perihilar cholangiocarcinoma biopsiesAbdominal Radiology 2024; 49(9): 3143 doi: 10.1007/s00261-024-04255-2
5
Alisa Mohebbi, Saeed Mohammadzadeh, Sadra Mohebbi, Afshin Mohammadi, Seyed Mohammad Tavangar. Diagnostic performance of ultrasound elastography in differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a systematic review and meta-analysisAbdominal Radiology 2024; 50(2): 633 doi: 10.1007/s00261-024-04502-6
6
Chien-Ming Chen, Ya-Chun Tang, Shin-Han Huang, Kuang-Tse Pan, Kar-Wai Lui, Yan-Heng Lai, Po-Hsiang Tsui. Ultrasound tissue scatterer distribution imaging: An adjunctive diagnostic tool for shear wave elastography in characterizing focal liver lesionsUltrasonics Sonochemistry 2023; 101: 106716 doi: 10.1016/j.ultsonch.2023.106716
7
川 孙. Research Progress of Ultrasound Shear Wave Viscoelastic Imaging in Focal Lesions of the LiverAdvances in Clinical Medicine 2023; 13(09): 14377 doi: 10.12677/ACM.2023.1392011
8
Qian-Yi Dou, Huan-Ling Guo, Wan-Bing Qiu, Ming Xu, Shu-Ling Chen, Xiao-Er Zhang, Xiao-Yan Xie, Jin-Yu Liang. Multimodal ultrasound: a non-invasive method for identifying dedifferentiation of papillary thyroid carcinoma during active surveillanceFrontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1545407
9
Mohammed Saied Abdelgawad, Bassuoni Abdelaziz Elseady, Osama Lotfy ELabd, Mohamed Samy Kohla, Mohamed El Sayed Abdel Samea. Comparison of magnetic resonance elastography and diffusion-weighted imaging for differentiating benign and malignant liver lesionsEgyptian Journal of Radiology and Nuclear Medicine 2024; 55(1) doi: 10.1186/s43055-024-01213-2
10
Evren Üstüner, Kemal Altınbaş, Metin Yavuz. Elastography - Current Insights and Applications2025;  doi: 10.5772/intechopen.1009832
11
Marielle Malucelli Mallmann, Fernando Linhares Pereira, Maria Cristina Chammas, Márcio Luís Duarte, Ana Maria Andrade, Emilton Lima Júnior, Odery Ramos Júnior. Liver stiffness assessed by elastography for the evaluation of hepatocellular carcinoma risk in patients with fibrosis: a systematic review and meta-analysisRadiologia Brasileira 2025; 58 doi: 10.1590/0100-3984.2024.0108
12
Akash Roy, Usha Goenka, Mahesh Goenka. Elastography - Current Insights and Applications2025;  doi: 10.5772/intechopen.1010939
13
Dong Jiang, Yi Qian, Bi-Bo Tan, Xia-Ling Zhu, Hui Dong, Rong Qian. Preoperative prediction of microvascular invasion in hepatocellular carcinoma using ultrasound features including elasticityWorld Journal of Gastrointestinal Surgery 2023; 15(9): 2042-2051 doi: 10.4240/wjgs.v15.i9.2042