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For: Miranda Magalhaes Santos JM, Clemente Oliveira B, Araujo-Filho JAB, Assuncao-Jr AN, de M Machado FA, Carlos Tavares Rocha C, Horvat JV, Menezes MR, Horvat N. State-of-the-art in radiomics of hepatocellular carcinoma: a review of basic principles, applications, and limitations. Abdom Radiol (NY). 2020;45:342-353. [PMID: 31707435 DOI: 10.1007/s00261-019-02299-3] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 15.0] [Reference Citation Analysis]
Number Citing Articles
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7 Castaldo A, De Lucia DR, Pontillo G, Gatti M, Cocozza S, Ugga L, Cuocolo R. State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma. Diagnostics (Basel) 2021;11:1194. [PMID: 34209197 DOI: 10.3390/diagnostics11071194] [Reference Citation Analysis]
8 Lewin M, Laurent-Bellue A, Desterke C, Radu A, Feghali JA, Farah J, Agostini H, Nault JC, Vibert E, Guettier C. Evaluation of perfusion CT and dual-energy CT for predicting microvascular invasion of hepatocellular carcinoma. Abdom Radiol (NY) 2022. [PMID: 35419748 DOI: 10.1007/s00261-022-03511-7] [Reference Citation Analysis]
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10 Horvat N, Araujo-Filho JAB, Assuncao-Jr AN, Machado FAM, Sims JA, Rocha CCT, Oliveira BC, Horvat JV, Maccali C, Puga ALBL, Chagas AL, Menezes MR, Cerri GG. Radiomic analysis of MRI to Predict Sustained Complete Response after Radiofrequency Ablation in Patients with Hepatocellular Carcinoma - A Pilot Study. Clinics (Sao Paulo) 2021;76:e2888. [PMID: 34287480 DOI: 10.6061/clinics/2021/e2888] [Reference Citation Analysis]
11 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]
12 Masokano IB, Liu W, Xie S, Marcellin DFH, Pei Y, Li W. The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges. Cancer Imaging 2020;20:67. [PMID: 32962762 DOI: 10.1186/s40644-020-00341-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
13 Wilson GC, Cannella R, Fiorentini G, Shen C, Borhani A, Furlan A, Tsung A. Texture analysis on preoperative contrast-enhanced magnetic resonance imaging identifies microvascular invasion in hepatocellular carcinoma. HPB (Oxford) 2020;22:1622-30. [PMID: 32229091 DOI: 10.1016/j.hpb.2020.03.001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
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