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For: Sofue K, Burke LM, Nilmini V, Alagiyawanna M, Muir AJ, Choudhury KR, Jaffe TA, Semelka RC, Bashir MR. Liver imaging reporting and data system category 4 observations in MRI: Risk factors predicting upgrade to category 5: LI-RADS Category 4 Observations in MRI. J Magn Reson Imaging 2017;46:783-92. [DOI: 10.1002/jmri.25627] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 3.6] [Reference Citation Analysis]
Number Citing Articles
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3 Kim Y, Choi J, Kim SU, Lee M, Park M, Chung YE, Kim M. MRI Ancillary Features for LI-RADS Category 3 and 4 Observations: Improved Categorization to Indicate the Risk of Hepatic Malignancy. American Journal of Roentgenology 2020;215:1354-62. [DOI: 10.2214/ajr.20.22802] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]
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5 Fowler KJ, Tang A, Santillan C, Bhargavan-Chatfield M, Heiken J, Jha RC, Weinreb J, Hussain H, Mitchell DG, Bashir MR, Costa EAC, Cunha GM, Coombs L, Wolfson T, Gamst AC, Brancatelli G, Yeh B, Sirlin CB. Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study. Radiology. 2018;286:173-185. [PMID: 29091751 DOI: 10.1148/radiol.2017170376] [Cited by in Crossref: 51] [Cited by in F6Publishing: 48] [Article Influence: 10.2] [Reference Citation Analysis]
6 Marrero JA, Kulik LM, Sirlin CB, Zhu AX, Finn RS, Abecassis MM, Roberts LR, Heimbach JK. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology. 2018;68:723-750. [PMID: 29624699 DOI: 10.1002/hep.29913] [Cited by in Crossref: 1126] [Cited by in F6Publishing: 1057] [Article Influence: 375.3] [Reference Citation Analysis]
7 Vernuccio F, Cannella R, Choudhury KR, Meyer M, Furlan A, Marin D. Hepatobiliary phase hypointensity predicts progression to hepatocellular carcinoma for intermediate-high risk observations, but not time to progression. Eur J Radiol 2020;128:109018. [PMID: 32388318 DOI: 10.1016/j.ejrad.2020.109018] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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9 Tang ES, Hall G, Yu D, Menard A, Hopman W, Nanji S. Predictors and Cumulative Frequency of Hepatocellular Carcinoma in High and Intermediate LI-RADS Lesions: A Cohort Study from a Canadian Academic Institution. Ann Surg Oncol 2019;26:2560-7. [PMID: 31025229 DOI: 10.1245/s10434-019-07386-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Hong CW, Park CC, Mamidipalli A, Hooker JC, Fazeli Dehkordy S, Igarashi S, Alhumayed M, Kono Y, Loomba R, Wolfson T, Gamst A, Murphy P, Sirlin CB. Longitudinal evolution of CT and MRI LI-RADS v2014 category 1, 2, 3, and 4 observations. Eur Radiol 2019;29:5073-81. [PMID: 30809719 DOI: 10.1007/s00330-019-06058-2] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.7] [Reference Citation Analysis]
11 Esposito A, Buscarino V, Raciti D, Casiraghi E, Manini M, Biondetti P, Forzenigo L. Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS v.2018) scale and its comparison with the Likert scale. Radiol Med 2020;125:15-23. [PMID: 31587182 DOI: 10.1007/s11547-019-01092-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
12 Kielar AZ, Chernyak V, Bashir MR, Do RK, Fowler KJ, Mitchell DG, Cerny M, Elsayes KM, Santillan C, Kamaya A, Kono Y, Sirlin CB, Tang A. LI-RADS 2017: An update. J Magn Reson Imaging 2018;47:1459-74. [PMID: 29626376 DOI: 10.1002/jmri.26027] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 5.8] [Reference Citation Analysis]
13 Campos-Correia D, Cruz J, Matos AP, Figueiredo F, Ramalho M. Magnetic resonance imaging ancillary features used in Liver Imaging Reporting and Data System: An illustrative review. World J Radiol 2018; 10(2): 9-23 [PMID: 29507710 DOI: 10.4329/wjr.v10.i2.9] [Cited by in CrossRef: 1] [Article Influence: 0.3] [Reference Citation Analysis]
14 Lee HA, Lee YR, Lee YS, Jung YK, Kim JH, An H, Yim HJ, Jeen YT, Yeon JE, Byun KS, Seo YS. Lens culinaris agglutinin-reactive fraction of alpha-fetoprotein improves diagnostic accuracy for hepatocellular carcinoma. World J Gastroenterol 2021; 27(28): 4687-4696 [PMID: 34366629 DOI: 10.3748/wjg.v27.i28.4687] [Reference Citation Analysis]
15 Krishan S, Dhiman RK, Kalra N, Sharma R, Baijal SS, Arora A, Gulati A, Eapan A, Verma A, Keshava S, Mukund A, Deva S, Chaudhary R, Ganesan K, Taneja S, Gorsi U, Gamanagatti S, Madhusudan KS, Puri P, Shalimar, Govil S, Wadhavan M, Saigal S, Kumar A, Thapar S, Duseja A, Saraf N, Khandelwal A, Mukhopadyay S, Gulati A, Shetty N, Verma N. Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System. J Clin Exp Hepatol 2019;9:625-51. [PMID: 31695253 DOI: 10.1016/j.jceh.2019.07.005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
16 Cannella R, Vernuccio F, Sagreiya H, Choudhury KR, Iranpour N, Marin D, Furlan A. Liver Imaging Reporting and Data System (LI-RADS) v2018: diagnostic value of ancillary features favoring malignancy in hypervascular observations ≥ 10 mm at intermediate (LR-3) and high probability (LR-4) for hepatocellular carcinoma. Eur Radiol 2020;30:3770-81. [PMID: 32107603 DOI: 10.1007/s00330-020-06698-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Mitchell DG, Bashir MR, Sirlin CB. Management implications and outcomes of LI-RADS-2, -3, -4, and -M category observations. Abdom Radiol (NY) 2018;43:143-8. [PMID: 28779335 DOI: 10.1007/s00261-017-1251-z] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
18 van der Pol CB, Lim CS, Sirlin CB, Mcgrath TA, Salameh J, Bashir MR, Tang A, Singal AG, Costa AF, Fowler K, Mcinnes MD. Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy—A Systematic Review. Gastroenterology 2019;156:976-86. [DOI: 10.1053/j.gastro.2018.11.020] [Cited by in Crossref: 93] [Cited by in F6Publishing: 91] [Article Influence: 31.0] [Reference Citation Analysis]