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For: Lewis S, Hectors S, Taouli B. Radiomics of hepatocellular carcinoma. Abdom Radiol (NY) 2021;46:111-23. [PMID: 31925492 DOI: 10.1007/s00261-019-02378-5] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 21.0] [Reference Citation Analysis]
Number Citing Articles
1 Goujon A, Khene Z, Thenault R, Vigneau C, Peyronnet B, Belabbas D, Guérin S, Chemouny J, Gasmi A, Verhoest G, Shariat S, Bensalah K, Mathieu R. Contrast-enhanced CT texture analysis for the prediction of delayed graft function following kidney transplantation from cadaveric donors. Progrès en Urologie 2022. [DOI: 10.1016/j.purol.2022.07.144] [Reference Citation Analysis]
2 O'shea A, Kilcoyne A, Mcdermott E, O'grady M, Mcdermott S. Can radiomic feature analysis differentiate adrenal metastases from lipid-poor adenomas on single-phase contrast-enhanced CT abdomen? Clinical Radiology 2022. [DOI: 10.1016/j.crad.2022.06.015] [Reference Citation Analysis]
3 Lv K, Cao X, Du P, Fu JY, Geng DY, Zhang J. Radiomics for the detection of microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(20): 2176-2183 [DOI: 10.3748/wjg.v28.i20.2176] [Cited by in CrossRef: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Brancato V, Garbino N, Salvatore M, Cavaliere C. MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma. Diagnostics 2022;12:1085. [DOI: 10.3390/diagnostics12051085] [Reference Citation Analysis]
5 Tang YY, Zhao YN, Zhang T, Chen ZY, Ma XL. Comprehensive radiomics nomogram for predicting survival of patients with combined hepatocellular carcinoma and cholangiocarcinoma. World J Gastroenterol 2021; 27(41): 7173-7189 [PMID: 34887636 DOI: 10.3748/wjg.v27.i41.7173] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhao X, Zhou Y, Zhang Y, Han L, Mao L, Yu Y, Li X, Zeng M, Wang M, Liu Z. Radiomics Based on Contrast-Enhanced MRI in Differentiation Between Fat-Poor Angiomyolipoma and Hepatocellular Carcinoma in Noncirrhotic Liver: A Multicenter Analysis. Front Oncol 2021;11:744756. [PMID: 34722300 DOI: 10.3389/fonc.2021.744756] [Reference Citation Analysis]
7 Li Q, Li JF, Mao XR. Application of artificial intelligence in liver diseases: From diagnosis to treatment. Artif Intell Gastroenterol 2021; 2(5): 133-140 [DOI: 10.35712/aig.v2.i5.133] [Reference Citation Analysis]
8 Bartolotta TV, Taibbi A, Randazzo A, Gagliardo C. New frontiers in liver ultrasound: From mono to multi parametricity. World J Gastrointest Oncol 2021; 13(10): 1302-1316 [PMID: 34721768 DOI: 10.4251/wjgo.v13.i10.1302] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Gong XQ, Tao YY, Wu YK, Liu N, Yu X, Wang R, Zheng J, Liu N, Huang XH, Li JD, Yang G, Wei XQ, Yang L, Zhang XM. Progress of MRI Radiomics in Hepatocellular Carcinoma. Front Oncol 2021;11:698373. [PMID: 34616673 DOI: 10.3389/fonc.2021.698373] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Fowler KJ, Burgoyne A, Fraum TJ, Hosseini M, Ichikawa S, Kim S, Kitao A, Lee JM, Paradis V, Taouli B, Theise ND, Vilgrain V, Wang J, Sirlin CB, Chernyak V. Pathologic, Molecular, and Prognostic Radiologic Features of Hepatocellular Carcinoma. Radiographics 2021;41:1611-31. [PMID: 34597222 DOI: 10.1148/rg.2021210009] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Feng B, Ma XH, Wang S, Cai W, Liu XB, Zhao XM. Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives. World J Gastroenterol 2021; 27(32): 5341-5350 [PMID: 34539136 DOI: 10.3748/wjg.v27.i32.5341] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Harding-Theobald E, Louissaint J, Maraj B, Cuaresma E, Townsend W, Mendiratta-Lala M, Singal AG, Su GL, Lok AS, Parikh ND. Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma. Aliment Pharmacol Ther 2021;54:890-901. [PMID: 34390014 DOI: 10.1111/apt.16563] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
13 Borhani AA, Catania R, Velichko YS, Hectors S, Taouli B, Lewis S. Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response. Abdom Radiol (NY) 2021;46:3674-85. [PMID: 33891149 DOI: 10.1007/s00261-021-03085-w] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
14 Tipaldi MA, Ronconi E, Lucertini E, Krokidis M, Zerunian M, Polidori T, Begini P, Marignani M, Mazzuca F, Caruso D, Rossi M, Laghi A. Hepatocellular Carcinoma Drug-Eluting Bead Transarterial Chemoembolization (DEB-TACE): Outcome Analysis Using a Model Based On Pre-Treatment CT Texture Features. Diagnostics (Basel) 2021;11:956. [PMID: 34073545 DOI: 10.3390/diagnostics11060956] [Reference Citation Analysis]
15 Maruyama H, Yamaguchi T, Nagamatsu H, Shiina S. AI-Based Radiological Imaging for HCC: Current Status and Future of Ultrasound. Diagnostics (Basel) 2021;11:292. [PMID: 33673229 DOI: 10.3390/diagnostics11020292] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
16 Schipilliti FM, Garajová I, Rovesti G, Balsano R, Piacentini F, Dominici M, Gelsomino F. The Growing Skyline of Advanced Hepatocellular Carcinoma Treatment: A Review. Pharmaceuticals (Basel) 2021;14:43. [PMID: 33429973 DOI: 10.3390/ph14010043] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
17 He M, Zhang P, Ma X, He B, Fang C, Jia F. Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma. Front Oncol. 2020;10:574228. [PMID: 33251138 DOI: 10.3389/fonc.2020.574228] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
18 Chang Y, Jeong SW, Young Jang J, Jae Kim Y. Recent Updates of Transarterial Chemoembolilzation in Hepatocellular Carcinoma. Int J Mol Sci 2020;21:E8165. [PMID: 33142892 DOI: 10.3390/ijms21218165] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
19 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]
20 Said D, Hectors SJ, Wilck E, Rosen A, Stocker D, Bane O, Beksaç AT, Lewis S, Badani K, Taouli B. Characterization of solid renal neoplasms using MRI-based quantitative radiomics features. Abdom Radiol (NY) 2020;45:2840-50. [PMID: 32333073 DOI: 10.1007/s00261-020-02540-4] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 6.5] [Reference Citation Analysis]
21 Cannella R, La Grutta L, Midiri M, Bartolotta TV. New advances in radiomics of gastrointestinal stromal tumors. World J Gastroenterol 2020; 26(32): 4729-4738 [PMID: 32921953 DOI: 10.3748/wjg.v26.i32.4729] [Cited by in CrossRef: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
22 Hectors SJ, Lewis S, Besa C, King MJ, Said D, Putra J, Ward S, Higashi T, Thung S, Yao S, Laface I, Schwartz M, Gnjatic S, Merad M, Hoshida Y, Taouli B. MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma. Eur Radiol. 2020;30:3759-3769. [PMID: 32086577 DOI: 10.1007/s00330-020-06675-2] [Cited by in Crossref: 20] [Cited by in F6Publishing: 15] [Article Influence: 10.0] [Reference Citation Analysis]