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Cited by in F6Publishing
For: Wu LF, Rao SX, Xu PJ, Yang L, Chen CZ, Liu H, Huang JF, Fu CX, Halim A, Zeng MS. Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma. Eur Radiol 2019;29:213-23. [PMID: 29922932 DOI: 10.1007/s00330-018-5482-3] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Jia F, Wu B, Yan R, Li L, Wang K, Han D. Prediction Model for Intermediate-Stage Hepatocellular Carcinoma Response to Transarterial Chemoembolization. J Magn Reson Imaging 2020;52:1657-67. [PMID: 32424881 DOI: 10.1002/jmri.27189] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 Hectors SJ, Lewis S, Kennedy P, Bane O, Said D, Segall M, Schwartz M, Kim E, Taouli B. Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material-enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging. Radiol Imaging Cancer 2020;2:e190094. [PMID: 32803165 DOI: 10.1148/rycan.2020190094] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
3 Aliyari Ghasabeh M, Shaghaghi M, Pandey A, Ameli S, Ambale Venkatesh B, Jacob A, Pandey P, Hazhirkarzar B, Luo Y, Rezvani Habibabadi R, Khoshpouri P, Ghadimi M, Kamel IR. Integrating baseline MR imaging biomarkers into BCLC and CLIP improves overall survival prediction of patients with hepatocellular carcinoma (HCC). Eur Radiol 2021;31:1630-41. [PMID: 32910233 DOI: 10.1007/s00330-020-07251-4] [Reference Citation Analysis]
4 Hu Z, Yu N, Wang H, Li S, Yan J, Zhang G. Pre-radiofrequency ablation MRI imaging features predict the local tumor progression in hepatocellular carcinoma. Medicine (Baltimore). 2020;99:e23924. [PMID: 33350797 DOI: 10.1097/md.0000000000023924] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Lewis S, Hectors S, Taouli B. Radiomics of hepatocellular carcinoma. Abdom Radiol (NY). 2021;46:111-123. [PMID: 31925492 DOI: 10.1007/s00261-019-02378-5] [Cited by in Crossref: 12] [Cited by in F6Publishing: 17] [Article Influence: 12.0] [Reference Citation Analysis]
6 Ao W, Zhang X, Yao X, Zhu X, Deng S, Feng J. Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study. BMC Med Imaging 2022;22:78. [PMID: 35484509 DOI: 10.1186/s12880-022-00810-9] [Reference Citation Analysis]
7 Chen BB, Shao YY, Lin ZZ, Hsu CH, Cheng AL, Hsu C, Liang PC, Shih TT. Dynamic Contrast-Enhanced and Intravoxel Incoherent Motion MRI Biomarkers Are Correlated to Survival Outcome in Advanced Hepatocellular Carcinoma. Diagnostics (Basel) 2021;11:1340. [PMID: 34441274 DOI: 10.3390/diagnostics11081340] [Reference Citation Analysis]
8 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]
9 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: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]