BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wu H, Liang Y, Jiang X, Wei X, Liu Y, Liu W, Guo Y, Tang W. Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver. Medicine (Baltimore). 2018;97:e12071. [PMID: 30142864 DOI: 10.1097/md.0000000000012071] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Haj-mirzaian A, Kadivar A, Kamel IR, Zaheer A. Updates on Imaging of Liver Tumors. Curr Oncol Rep 2020;22. [DOI: 10.1007/s11912-020-00907-w] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
2 Peng J, Zheng J, Yang C, Wang R, Zhou Y, Tao YY, Gong XQ, Wang WC, Zhang XM, Yang L. Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma. Sci Rep. 2020;10:7717. [PMID: 32382050 DOI: 10.1038/s41598-020-64804-9] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
3 Nalaini F, Shahbazi F, Mousavinezhad SM, Ansari A, Salehi M. Diagnostic accuracy of apparent diffusion coefficient (ADC) value in differentiating malignant from benign solid liver lesions: a systematic review and meta-analysis. Br J Radiol 2021;94:20210059. [PMID: 34111960 DOI: 10.1259/bjr.20210059] [Reference Citation Analysis]
4 Tramontano L, Cavaliere C, Salvatore M, Brancato V. The Role of Non-Gaussian Models of Diffusion Weighted MRI in Hepatocellular Carcinoma: A Systematic Review. J Clin Med 2021;10:2641. [PMID: 34203995 DOI: 10.3390/jcm10122641] [Reference Citation Analysis]
5 Zhou Y, Zheng J, Yang C, Peng J, Liu N, Yang L, Zhang X. Application of intravoxel incoherent motion diffusion-weighted imaging in hepatocellular carcinoma. WJG 2022;28:3334-45. [DOI: 10.3748/wjg.v28.i27.3334] [Reference Citation Analysis]
6 Kutbay U. Automated hemangioma detection using Otsu based binarized Kaze features. Multimed Tools Appl 2020;79:24781-93. [DOI: 10.1007/s11042-020-09156-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Cannella R, Sartoris R, Grégory J, Garzelli L, Vilgrain V, Ronot M, Dioguardi Burgio M. Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice. Br J Radiol 2021;94:20210220. [PMID: 33989042 DOI: 10.1259/bjr.20210220] [Reference Citation Analysis]
8 Tao YY, Zhou Y, Wang R, Gong XQ, Zheng J, Yang C, Yang L, Zhang XM. Progress of intravoxel incoherent motion diffusion-weighted imaging in liver diseases. World J Clin Cases 2020;8:3164-76. [PMID: 32874971 DOI: 10.12998/wjcc.v8.i15.3164] [Cited by in CrossRef: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
9 Peng J, Zheng J, Yang C, Wang R, Zhou Y, Tao Y, Gong X, Wang W, Zhang X, Yang L. Intravoxel incoherent motion diffusion-weighted imaging to differentiate hepatocellular carcinoma from intrahepatic cholangiocarcinoma. Sci Rep 2020;10. [DOI: 10.1038/s41598-020-64804-9] [Reference Citation Analysis]
10 Zhou Y, Zheng J, Yang C, Peng J, Liu N, Yang L, Zhang XM. Application of intravoxel incoherent motion diffusion-weighted imaging in hepatocellular carcinoma. World J Gastroenterol 2022; 28(27): 3334-3345 [DOI: 10.3748/wjg.v28.i27.3334] [Reference Citation Analysis]
11 Simchick G, Geng R, Zhang Y, Hernando D. b value and first-order motion moment optimized data acquisition for repeatable quantitative intravoxel incoherent motion DWI. Magn Reson Med 2022. [PMID: 35092092 DOI: 10.1002/mrm.29165] [Reference Citation Analysis]