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For: Chen Y, Qin X, Long L, Zhang L, Huang Z, Jiang Z, Li C. Diagnostic Value of Gd‐EOB‐DTPA‐Enhanced MRI for the Expression of Ki67 and Microvascular Density in Hepatocellular Carcinoma. J Magn Reson Imaging 2020;51:1755-63. [DOI: 10.1002/jmri.26974] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
1 Yoon JH. Editorial for "Comparing Survival Outcomes of Patients With LI-RADS-M Hepatocellular Carcinomas and Intrahepatic Cholangiocarcinomas". J Magn Reson Imaging 2023;57:318-9. [PMID: 35604010 DOI: 10.1002/jmri.28222] [Reference Citation Analysis]
2 Liu Z, Yang S, Chen X, Luo C, Feng J, Chen H, Ouyang F, Zhang R, Li X, Liu W, Guo B, Hu Q. Nomogram development and validation to predict Ki-67 expression of hepatocellular carcinoma derived from Gd-EOB-DTPA-enhanced MRI combined with T1 mapping. Front Oncol 2022;12:954445. [DOI: 10.3389/fonc.2022.954445] [Reference Citation Analysis]
3 Wu Q, Yu Y, Zhang T, Zhu W, Fan Y, Wang X, Hu C. Preoperative Diagnosis of Dual‐Phenotype Hepatocellular Carcinoma Using Enhanced MRI Radiomics Models. Magnetic Resonance Imaging. [DOI: 10.1002/jmri.28391] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Wu C, Chen J, Fan Y, Zhao M, He X, Wei Y, Ge W, Liu Y. Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma. Front Oncol 2022;12:943942. [PMID: 35875154 DOI: 10.3389/fonc.2022.943942] [Reference Citation Analysis]
5 Tong X, Li J. Noninvasively predict the micro-vascular invasion and histopathological grade of hepatocellular carcinoma with CT-derived radiomics. European Journal of Radiology Open 2022;9:100424. [DOI: 10.1016/j.ejro.2022.100424] [Reference Citation Analysis]
6 Yu Y, Fan Y, Wang X, Zhu M, Hu M, Shi C, Hu C. Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma. Eur Radiol 2021. [PMID: 34480625 DOI: 10.1007/s00330-021-08250-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
7 Staszak K, Wieszczycka K, Bajek A, Staszak M, Tylkowski B, Roszkowski K. Achievement in active agent structures as a power tools in tumor angiogenesis imaging. Biochim Biophys Acta Rev Cancer 2021;1876:188560. [PMID: 33965512 DOI: 10.1016/j.bbcan.2021.188560] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Chen Y, Xia Y, Tolat PP, Long L, Jiang Z, Huang Z, Tang Q. Comparison of Conventional Gadoxetate Disodium-Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular Invasion. AJR Am J Roentgenol 2021;216:1510-20. [PMID: 33826360 DOI: 10.2214/AJR.20.23255] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
9 Zhao YF, Xiong X, Chen K, Tang W, Yang X, Shi ZR. Evaluation of the Therapeutic Effect of Adjuvant Transcatheter Arterial Chemoembolization Based on Ki67 After Hepatocellular Carcinoma Surgery. Front Oncol 2021;11:605234. [PMID: 33718156 DOI: 10.3389/fonc.2021.605234] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 Shimada S, Kamiyama T, Kakisaka T, Orimo T, Nagatsu A, Asahi Y, Sakamoto Y, Abo D, Kamachi H, Taketomi A. Impact of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging on the prognosis of hepatocellular carcinoma after surgery. JGH Open 2021;5:41-9. [PMID: 33490612 DOI: 10.1002/jgh3.12444] [Reference Citation Analysis]
11 Kennedy P. Editorial for “Diagnostic Value of Gd‐EOB‐DTPA‐Enhanced MRI for the Expression of Ki67 and Microvascular Density in Hepatocellular Carcinoma”. J Magn Reson Imaging 2020;51:1764-1765. [DOI: 10.1002/jmri.27053] [Reference Citation Analysis]