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For: Lee S, Kim SS, Roh YH, Choi JY, Park MS, Kim MJ. Diagnostic Performance of CT/MRI Liver Imaging Reporting and Data System v2017 for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. Liver Int 2020;40:1488-97. [PMID: 32145134 DOI: 10.1111/liv.14424] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhao C, Dai H, Shao J, He Q, Su W, Wang P, Tang Q, Zeng J, Xu S, Zhao J, Xiang S. Accuracy of Various Forms of Contrast-Enhanced MRI for Diagnosing Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. Front Oncol 2021;11:680691. [PMID: 34950573 DOI: 10.3389/fonc.2021.680691] [Reference Citation Analysis]
2 Li L, Hu Y, Han J, Li Q, Peng C, Zhou J. Clinical Application of Liver Imaging Reporting and Data System for Characterizing Liver Neoplasms: A Meta-Analysis. Diagnostics (Basel) 2021;11:323. [PMID: 33671158 DOI: 10.3390/diagnostics11020323] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
3 Shin J, Lee S, Kim SS, Chung YE, Choi JY, Park MS, Kim MJ. Characteristics and Early Recurrence of Hepatocellular Carcinomas Categorized as LR-M: Comparison with Those Categorized as LR-4 or 5. J Magn Reson Imaging 2021. [PMID: 33891790 DOI: 10.1002/jmri.27650] [Reference Citation Analysis]
4 Elena Laino M, Viganò L, Ammirabile A, Lofino L, Generali E, Francone M, Lleo A, Saba L, Savevski V. The added value of Artificial Intelligence to LI-RADS categorization: a systematic review. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110251] [Reference Citation Analysis]
5 Moura Cunha G, Chernyak V, Fowler KJ, Sirlin CB. Up-to-Date Role of CT/MRI LI-RADS in Hepatocellular Carcinoma. J Hepatocell Carcinoma 2021;8:513-27. [PMID: 34104640 DOI: 10.2147/JHC.S268288] [Reference Citation Analysis]
6 Yan Z, Lijuan Y, Yinhang W, Yin J, Jiamin X, Wei W, Yuefen P, Shuwen H. Screening and analysis of RNAs associated with activated memory CD4 and CD8 T cells in liver cancer. World J Surg Oncol 2022;20:2. [PMID: 34980144 DOI: 10.1186/s12957-021-02461-6] [Reference Citation Analysis]
7 Lee S, Kim SS, Bae H, Shin J, Yoon JK, Kim MJ. Application of Liver Imaging Reporting and Data System version 2018 ancillary features to upgrade from LR-4 to LR-5 on gadoxetic acid-enhanced MRI. Eur Radiol 2021;31:855-63. [PMID: 32809162 DOI: 10.1007/s00330-020-07146-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Lee S, Kim YY, Shin J, Hwang SH, Roh YH, Chung YE, Choi JY. CT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis. J Am Coll Radiol 2020;17:1199-206. [PMID: 32640250 DOI: 10.1016/j.jacr.2020.06.005] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
9 Kim YY, Lee S, Shin J, Son WJ, Shin H, Lee JE, Hwang JA, Chung YE, Choi JY, Park MS. Diagnostic Performance of Liver Imaging Reporting and Data System Version 2017 Versus Version 2018 for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis of Comparative Studies. J Magn Reson Imaging 2021. [PMID: 33929784 DOI: 10.1002/jmri.27664] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Vernuccio F, Porrello G, Cannella R, Vernuccio L, Midiri M, Giannitrapani L, Soresi M, Brancatelli G. Benign and malignant mimickers of infiltrative hepatocellular carcinoma: tips and tricks for differential diagnosis on CT and MRI. Clin Imaging 2021;70:33-45. [PMID: 33120287 DOI: 10.1016/j.clinimag.2020.10.011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Shin J, Lee S, Yoon JK, Chung YE, Choi J, Park M. LI‐RADS Major Features on MRI for Diagnosing Hepatocellular Carcinoma: A Systematic Review and Meta‐Analysis. J Magn Reson Imaging 2021;54:518-25. [DOI: 10.1002/jmri.27570] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
12 Shin J, Lee S, Bae H, Chung YE, Choi JY, Huh YM, Park MS. Contrast-enhanced ultrasound liver imaging reporting and data system for diagnosing hepatocellular carcinoma: A meta-analysis. Liver Int 2020;40:2345-52. [PMID: 32722894 DOI: 10.1111/liv.14617] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
13 Adeniji N, Dhanasekaran R. Current and Emerging Tools for Hepatocellular Carcinoma Surveillance. Hepatol Commun 2021. [PMID: 34533885 DOI: 10.1002/hep4.1823] [Reference Citation Analysis]
14 Toniutto P, Fumolo E, Fornasiere E, Bitetto D. Liver Transplantation in Patients with Hepatocellular Carcinoma beyond the Milan Criteria: A Comprehensive Review. J Clin Med 2021;10:3932. [PMID: 34501381 DOI: 10.3390/jcm10173932] [Reference Citation Analysis]
15 Ciocalteu A, Iordache S, Cazacu SM, Urhut CM, Sandulescu SM, Ciurea AM, Saftoiu A, Sandulescu LD. Role of Contrast-Enhanced Ultrasonography in Hepatocellular Carcinoma by Using LI-RADS and Ancillary Features: A Single Tertiary Centre Experience. Diagnostics (Basel) 2021;11:2232. [PMID: 34943474 DOI: 10.3390/diagnostics11122232] [Reference Citation Analysis]