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For: Vossen JA, Buijs M, Geschwind JF, Liapi E, Prieto Ventura V, Lee KH, Bluemke DA, Kamel IR. Diffusion-weighted and Gd-EOB-DTPA-contrast-enhanced magnetic resonance imaging for characterization of tumor necrosis in an animal model. J Comput Assist Tomogr 2009;33:626-30. [PMID: 19638862 DOI: 10.1097/RCT.0b013e3181953df3] [Cited by in Crossref: 19] [Cited by in F6Publishing: 10] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
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7 Korkusuz H, Knau L, Kromen W, Huebner F, Hammerstingl R, Lindemayr S, Bihrer V, Piiper A, Vogl TJ. Gadoxetate acid-enhanced MRI of hepatocellular carcinoma in a c-myc/TGFα transgenic mouse model including signal intensity and fat content: initial experience. Cancer Imaging 2012;12:72-8. [PMID: 22418445 DOI: 10.1102/1470-7330.2012.0009] [Reference Citation Analysis]
8 Yuan YH, Xiao EH, He Z, Jin K, Ma C, Xiang J, Xiao JH, Chen WJ. Dynamic characteristics of MR diffusion-weighted imaging in a rabbit liver VX-2 tumor model. Jpn J Radiol 2013;31:105-14. [PMID: 23238965 DOI: 10.1007/s11604-012-0156-6] [Reference Citation Analysis]
9 Fouladi DF, Zarghampour M, Pandey P, Pandey A, Varzaneh FN, Ghasabeh MA, Khoshpouri P, Kamel IR. Baseline 3D-ADC outperforms 2D-ADC in predicting response to treatment in patients with colorectal liver metastases. Eur Radiol 2020;30:291-300. [PMID: 31209620 DOI: 10.1007/s00330-019-06289-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
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11 Stephen RM, Pagel MD, Brown K, Baker AF, Meuillet EJ, Gillies RJ. Monitoring the development of xenograft triple-negative breast cancer models using diffusion-weighted magnetic resonance imaging. Exp Biol Med (Maywood) 2012;237:1273-80. [PMID: 23239438 DOI: 10.1258/ebm.2012.011326] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 0.8] [Reference Citation Analysis]