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For: Zhou Y, Wang X, Xu C, Zhou G, Liu X, Gao S, Xu P. Mass-forming intrahepatic cholangiocarcinoma: Can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging 2019;50:315-24. [PMID: 30444023 DOI: 10.1002/jmri.26566] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhou Y, Zhou G, Gao X, Xu C, Wang X, Xu P. Apparent diffusion coefficient value of mass-forming intrahepatic cholangiocarcinoma: a potential imaging biomarker for prediction of lymph node metastasis. Abdom Radiol (NY) 2020;45:3109-18. [PMID: 32107582 DOI: 10.1007/s00261-020-02458-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Wang X, Wang S, Yin X, Zheng Y. MRI-based radiomics distinguish different pathological types of hepatocellular carcinoma. Comput Biol Med 2021;:105058. [PMID: 34836622 DOI: 10.1016/j.compbiomed.2021.105058] [Reference Citation Analysis]
3 Geng Z, Zhang Y, Wang S, Li H, Zhang C, Yin S, Xie C, Dai Y. Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features. Magn Reson Med Sci 2021;20:253-63. [PMID: 32788505 DOI: 10.2463/mrms.mp.2020-0060] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
4 Gao W, Wang W, Song D, Wang K, Lian D, Yang C, Zhu K, Zheng J, Zeng M, Rao S, Wang M. A Multiparametric Fusion Deep Learning Model Based on DCE‐MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma. Magnetic Resonance Imaging. [DOI: 10.1002/jmri.28126] [Reference Citation Analysis]
5 Wang T, Kong J, Yang X, Shen S, Zhang M, Wang W. Clinical features of sarcomatoid change in patients with intrahepatic cholangiocarcinoma and prognosis after surgical liver resection: A Propensity Score Matching analysis. J Surg Oncol 2020;121:524-37. [PMID: 31867746 DOI: 10.1002/jso.25815] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
6 Tian Y, Hua H, Peng Q, Zhang Z, Wang X, Han J, Ma W, Chen J. Preoperative Evaluation of Gd-EOB-DTPA-Enhanced MRI Radiomics-Based Nomogram in Small Solitary Hepatocellular Carcinoma (≤3 cm) With Microvascular Invasion: A Two-Center Study. J Magn Reson Imaging 2022. [PMID: 35298849 DOI: 10.1002/jmri.28157] [Reference Citation Analysis]
7 Huang X, Shu J, Yan Y, Chen X, Yang C, Zhou T, Li M. Feasibility of magnetic resonance imaging-based radiomics features for preoperative prediction of extrahepatic cholangiocarcinoma stage. Eur J Cancer 2021;155:227-35. [PMID: 34391055 DOI: 10.1016/j.ejca.2021.06.053] [Reference Citation Analysis]
8 Ma X, Liu L, Fang J, Rao S, Lv L, Zeng M, Shi Y, Yang C. MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma. Cancer Imaging 2020;20:40. [PMID: 32576283 DOI: 10.1186/s40644-020-00318-x] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
9 Chen Y, Liu H, Zhang J, Wu Y, Zhou W, Cheng Z, Lou J, Zheng S, Bi X, Wang J, Guo W, Li F, Wang J, Zheng Y, Li J, Cheng S, Zeng Y, Liu J. Prognostic value and predication model of microvascular invasion in patients with intrahepatic cholangiocarcinoma: a multicenter study from China. BMC Cancer 2021;21:1299. [PMID: 34863147 DOI: 10.1186/s12885-021-09035-5] [Reference Citation Analysis]
10 Wang X, Wang W, Ma X, Lu X, Li S, Zeng M, Xu K, Yang C. Combined hepatocellular-cholangiocarcinoma: which preoperative clinical data and conventional MRI characteristics have value for the prediction of microvascular invasion and clinical significance? Eur Radiol 2020;30:5337-47. [PMID: 32385649 DOI: 10.1007/s00330-020-06861-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
11 Zhou Y, Zhou G, Gao X, Xu C, Wang X, Xu P. Apparent diffusion coefficient value of mass-forming intrahepatic cholangiocarcinoma: a potential imaging biomarker for prediction of lymph node metastasis. Abdom Radiol (NY) 2020;45:3109-18. [PMID: 32107582 DOI: 10.1007/s00261-020-02458-x] [Reference Citation Analysis]
12 Xiang F, Wei S, Liu X, Liang X, Yang L, Yan S. Radiomics Analysis of Contrast-Enhanced CT for the Preoperative Prediction of Microvascular Invasion in Mass-Forming Intrahepatic Cholangiocarcinoma. Front Oncol 2021;11:774117. [PMID: 34869018 DOI: 10.3389/fonc.2021.774117] [Reference Citation Analysis]
13 Sheng R, Sun W, Huang X, Jin K, Gao S, Zeng M, Wu D, Shi G. Apparent Diffusion Coefficient MRI Shows Association With Early Progression of Unresectable Intrahepatic Cholangiocarcinoma With Combined Targeted-Immunotherapy. J Magn Reson Imaging 2022. [PMID: 35488518 DOI: 10.1002/jmri.28214] [Reference Citation Analysis]
14 Wu L, Yang C, Halim A, Rao S, Xu P, Feng W, Chen C, Ji Y, Zhu J, Zeng M. Contrast-enhanced magnetic resonance imaging perfusion can predict microvascular invasion in patients with hepatocellular carcinoma (between 1 and 5 cm). Abdom Radiol (NY) 2022. [PMID: 35113174 DOI: 10.1007/s00261-022-03423-6] [Reference Citation Analysis]
15 Li Q, Che F, Wei Y, Jiang HY, Zhang Y, Song B. Role of noninvasive imaging in the evaluation of intrahepatic cholangiocarcinoma: from diagnosis and prognosis to treatment response. Expert Rev Gastroenterol Hepatol 2021;15:1267-79. [PMID: 34452581 DOI: 10.1080/17474124.2021.1974294] [Reference Citation Analysis]