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For: Tanabe M, Kanki A, Wolfson T, Costa EA, Mamidipalli A, Ferreira MP, Santillan C, Middleton MS, Gamst AC, Kono Y, Kuo A, Sirlin CB. Imaging Outcomes of Liver Imaging Reporting and Data System Version 2014 Category 2, 3, and 4 Observations Detected at CT and MR Imaging. Radiology. 2016;281:129-139. [PMID: 27115054 DOI: 10.1148/radiol.2016152173] [Cited by in Crossref: 57] [Cited by in F6Publishing: 47] [Article Influence: 9.5] [Reference Citation Analysis]
Number Citing Articles
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6 Abdel Razek AAK, El-Serougy LG, Saleh GA, Shabana W, Abd El-Wahab R. Liver Imaging Reporting and Data System Version 2018: What Radiologists Need to Know. J Comput Assist Tomogr. 2020;44:168-177. [PMID: 32195795 DOI: 10.1097/rct.0000000000000995] [Cited by in Crossref: 23] [Cited by in F6Publishing: 12] [Article Influence: 11.5] [Reference Citation Analysis]
7 Dietrich CF, Potthoff A, Helmberger T, Ignee A, Willmann JK; on behalf of the CEUS LI-RADS Working Group. Standardisierte Befundung und Dokumentation der Kontrastmittelsonografie der Leber (CEUS LI-RADS). Z Gastroenterol 2018;56:499-506. [DOI: 10.1055/s-0043-124874] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
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9 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]
10 Kierans AS, Makkar J, Guniganti P, Cornman-Homonoff J, Lee MJ, Pittman M, Askin G, Hecht EM. Validation of Liver Imaging Reporting and Data System 2017 (LI-RADS) Criteria for Imaging Diagnosis of Hepatocellular Carcinoma. J Magn Reson Imaging. 2019;49:e205-e215. [PMID: 30257054 DOI: 10.1002/jmri.26329] [Cited by in Crossref: 25] [Cited by in F6Publishing: 24] [Article Influence: 6.3] [Reference Citation Analysis]
11 Cerny M, Bergeron C, Billiard JS, Murphy-Lavallée J, Olivié D, Bérubé J, Fan B, Castel H, Turcotte S, Perreault P, Chagnon M, Tang A. LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features. Radiology 2018;288:118-28. [PMID: 29634435 DOI: 10.1148/radiol.2018171678] [Cited by in Crossref: 59] [Cited by in F6Publishing: 53] [Article Influence: 14.8] [Reference Citation Analysis]
12 Ren AH, Xu H, Yang DW, Zhang N, Ba T, Wang ZC, Yang ZH. Systematic Training of Liver Imaging Reporting and Data System Magnetic Resonance Imaging v2018 can Improve the Diagnosis of Hepatocellular Carcinoma for Different Radiologists. J Clin Transl Hepatol 2021;9:537-44. [PMID: 34447683 DOI: 10.14218/JCTH.2021.00180] [Reference Citation Analysis]
13 Chapman WC, Korenblat KM, Fowler KJ, Saad N, Khan AS, Subramanian V, Doyle MBM, Dageforde LA, Tan B, Grierson P, Lin Y, Xu M, Brunt EM. Hepatocellular carcinoma: Where are we in 2018? Curr Probl Surg 2018;55:450-503. [PMID: 30526875 DOI: 10.1067/j.cpsurg.2018.10.002] [Reference Citation Analysis]
14 Choi SH, Byun JH, Lim Y, Lee SJ, Kim SY, Won HJ, Shin YM, Kim P. Liver Imaging Reporting and Data System: Patient Outcomes for Category 4 and 5 Nodules. Radiology 2018;287:515-24. [DOI: 10.1148/radiol.2018170748] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
15 Vernuccio F, Cannella R, Porrello G, Calandra A, Midiri M, Furlan A, Brancatelli G. Uncommon imaging evolutions of focal liver lesions in cirrhosis. Abdom Radiol (NY) 2019;44:3069-77. [PMID: 31222462 DOI: 10.1007/s00261-019-02101-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 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]
17 Ren A, Du J, Yang D, Zhao P, Wang Z, Yang Z. The role of ancillary features for diagnosing hepatocellular carcinoma on CT: based on the Liver Imaging Reporting and Data System version 2017 algorithm. Clinical Radiology 2020;75:478.e25-35. [DOI: 10.1016/j.crad.2019.08.031] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Schima W, Heiken J. LI-RADS v2017 for liver nodules: how we read and report. Cancer Imaging. 2018;18:14. [PMID: 29690933 DOI: 10.1186/s40644-018-0149-5] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
19 Tang A, Cruite I, Mitchell DG, Sirlin CB. Hepatocellular carcinoma imaging systems: why they exist, how they have evolved, and how they differ. Abdom Radiol (NY) 2018;43:3-12. [PMID: 28840293 DOI: 10.1007/s00261-017-1292-3] [Cited by in Crossref: 29] [Cited by in F6Publishing: 25] [Article Influence: 9.7] [Reference Citation Analysis]
20 Ronald J, Gupta RT, Marin D, Wang Q, Durocher NS, Suhocki PV, Kim CY. Progression of Treated versus Untreated Liver Imaging Reporting and Data System Category 4 Masses after Transcatheter Arterial Embolization Therapy. Journal of Vascular and Interventional Radiology 2018;29:598-606. [DOI: 10.1016/j.jvir.2017.11.027] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
21 Ren A, Zhao P, Yang D, Du J, Wang Z, Yang Z. Diagnostic performance of MR for hepatocellular carcinoma based on LI-RADS v2018, compared with v2017: LI-RADS v2018 of MRI for Diagnosing HCC. J Magn Reson Imaging 2019;50:746-55. [DOI: 10.1002/jmri.26640] [Cited by in Crossref: 34] [Cited by in F6Publishing: 28] [Article Influence: 11.3] [Reference Citation Analysis]
22 Chernyak V, Flusberg M, Berman J, Fruitman KC, Kobi M, Fowler KJ, Sirlin CB. Liver Imaging Reporting and Data System Version 2018: Impact on Categorization and Hepatocellular Carcinoma Staging. Liver Transpl 2019;25:1488-502. [DOI: 10.1002/lt.25614] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
23 Chiang MF, Tseng TK, Shih CW, Yang TH, Wu SY. Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas. J Cancer 2020;11:7166-75. [PMID: 33193879 DOI: 10.7150/jca.47245] [Reference Citation Analysis]
24 Kim TH, Kim SY, Tang A, Lee JM. Comparison of international guidelines for noninvasive diagnosis of hepatocellular carcinoma: 2018 update. Clin Mol Hepatol 2019;25:245-63. [PMID: 30759967 DOI: 10.3350/cmh.2018.0090] [Cited by in Crossref: 82] [Cited by in F6Publishing: 77] [Article Influence: 27.3] [Reference Citation Analysis]
25 Gupta M, Gabriel H, Miller FH. Role of Imaging in Surveillance and Diagnosis of Hepatocellular Carcinoma. Gastroenterology Clinics of North America 2018;47:585-602. [DOI: 10.1016/j.gtc.2018.04.013] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 3.3] [Reference Citation Analysis]
26 Jeong WK. [Radiologic Diagnosis of Hepatocellular Carcinoma]. Korean J Gastroenterol 2021;78:261-7. [PMID: 34824184 DOI: 10.4166/kjg.2021.138] [Reference Citation Analysis]
27 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]
28 Vernuccio F, Cannella R, Meyer M, Choudhoury KR, Gonzáles F, Schwartz FR, Gupta RT, Bashir MR, Furlan A, Marin D. LI-RADS: Diagnostic Performance of Hepatobiliary Phase Hypointensity and Major Imaging Features of LR-3 and LR-4 Lesions Measuring 10-19 mm With Arterial Phase Hyperenhancement. AJR Am J Roentgenol 2019;213:W57-65. [PMID: 31039012 DOI: 10.2214/AJR.18.20979] [Cited by in Crossref: 13] [Cited by in F6Publishing: 5] [Article Influence: 4.3] [Reference Citation Analysis]
29 Wnorowski AM, Cook TS, Lalevic D, Langer JE, Zafar HM. Outcome of liver lesions indeterminate for malignancy on ultrasound: the role of patient age, risk status, and lesion echogenicity. Abdom Radiol (NY) 2018;43:2970-9. [PMID: 29594466 DOI: 10.1007/s00261-018-1571-7] [Reference Citation Analysis]
30 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]
31 Rosiak G, Podgorska J, Rosiak E, Cieszanowski A. Comparison of LI-RADS v.2017 and ESGAR Guidelines Imaging Criteria in HCC Diagnosis Using MRI with Hepatobiliary Contrast Agents. Biomed Res Int 2018;2018:7465126. [PMID: 30105242 DOI: 10.1155/2018/7465126] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
32 Nakao S, Tanabe M, Okada M, Furukawa M, Iida E, Miyoshi K, Matsunaga N, Ito K. Liver imaging reporting and data system (LI-RADS) v2018: comparison between computed tomography and gadoxetic acid-enhanced magnetic resonance imaging. Jpn J Radiol 2019;37:651-9. [PMID: 31321619 DOI: 10.1007/s11604-019-00855-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
33 Yacoub JH, Miller FH. Understanding LI-RADS, Its Relationship to AASLD and OPTN, and the Challenges of Its Adoption. Curr Hepatology Rep 2017;16:72-80. [DOI: 10.1007/s11901-017-0337-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
34 Kim JH, Yoon JH, Joo I, Lee JM. Evaluation of Primary Liver Cancers Using Hepatocyte-Specific Contrast-Enhanced MRI: Pitfalls and Potential Tips. J Magn Reson Imaging 2021;53:655-75. [PMID: 32700807 DOI: 10.1002/jmri.27213] [Reference Citation Analysis]
35 Furlan A, Borhani AA. Problematic lesions in cirrhosis. Clin Liver Dis (Hoboken) 2018;11:43-7. [PMID: 30992786 DOI: 10.1002/cld.689] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
36 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]
37 Elboraey M, Devcic Z, Montazeri SA, Li X, Lewis AR, Ritchie CA, Frey GT, Paz-Fumagalli R, McKinney JM, Toskich BB. Natural History of Incidental Enhancing Nodules on Cone-Beam Computed Tomography during Transarterial Therapy of Hepatocellular Carcinoma. J Vasc Interv Radiol 2021;32:1186-1192.e1. [PMID: 33901694 DOI: 10.1016/j.jvir.2021.04.014] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
38 Alksas A, Shehata M, Saleh GA, Shaffie A, Soliman A, Ghazal M, Khelifi A, Khalifeh HA, Razek AA, Giridharan GA, El-Baz A. A novel computer-aided diagnostic system for accurate detection and grading of liver tumors. Sci Rep 2021;11:13148. [PMID: 34162893 DOI: 10.1038/s41598-021-91634-0] [Reference Citation Analysis]
39 Sevim S, Dicle O, Gezer NS, Barış MM, Altay C, Akın IB. How high is the inter-observer reproducibility in the LIRADS reporting system? Pol J Radiol 2019;84:e464-9. [PMID: 31969967 DOI: 10.5114/pjr.2019.90090] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
40 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]
41 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]
42 Sirlin CB, Kielar AZ, Tang A, Bashir MR. LI-RADS: a glimpse into the future. Abdom Radiol (NY) 2018;43:231-6. [PMID: 29318354 DOI: 10.1007/s00261-017-1448-1] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
43 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]
44 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]
45 Ko A, Park HJ, Lee ES, Park SB, Kim YK, Choi SY, Ahn S. Comparison of the diagnostic performance of the 2017 and 2018 versions of LI-RADS for hepatocellular carcinoma on gadoxetic acid enhanced MRI. Clin Radiol 2020;75:319.e1-9. [PMID: 31858990 DOI: 10.1016/j.crad.2019.11.004] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
46 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]
47 Agnello F, Albano D, Sparacia G, Micci G, Matranga D, Toia P, La Grutta L, Grassedonio E, Lo Re G, Salvaggio G, Midiri M, Galia M. Outcome of LR-3 and LR-4 observations without arterial phase hyperenhancement at Gd-EOB-DTPA-enhanced MRI follow-up. Clin Imaging 2020;68:169-74. [PMID: 32836213 DOI: 10.1016/j.clinimag.2020.08.003] [Reference Citation Analysis]
48 Mokrane FZ, Lu L, Vavasseur A, Otal P, Peron JM, Luk L, Yang H, Ammari S, Saenger Y, Rousseau H, Zhao B, Schwartz LH, Dercle L. Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules. Eur Radiol. 2020;30:558-570. [PMID: 31444598 DOI: 10.1007/s00330-019-06347-w] [Cited by in Crossref: 31] [Cited by in F6Publishing: 35] [Article Influence: 10.3] [Reference Citation Analysis]
49 Zhang L, Kuang S, Chen J, Zhang Y, Zhao B, Peng H, Xiao Y, Fowler K, Wang J, Sirlin CB. The Role of Preoperative Dynamic Contrast-enhanced 3.0-T MR Imaging in Predicting Early Recurrence in Patients With Early-Stage Hepatocellular Carcinomas After Curative Resection. Front Oncol 2019;9:1336. [PMID: 31850221 DOI: 10.3389/fonc.2019.01336] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
50 Balaceanu LA. Biomarkers vs imaging in the early detection of hepatocellular carcinoma and prognosis. World J Clin Cases 2019; 7(12): 1367-1382 [PMID: 31363465 DOI: 10.12998/wjcc.v7.i12.1367] [Cited by in CrossRef: 11] [Cited by in F6Publishing: 12] [Article Influence: 3.7] [Reference Citation Analysis]
51 Tang A, Singal AG, Mitchell DG, Hecht EM, Fowler KJ, Kulik L, Parikh ND, Kono Y, Sirlin CB. Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma. Clinical Gastroenterology and Hepatology 2019;17:1228-38. [DOI: 10.1016/j.cgh.2018.10.014] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 5.7] [Reference Citation Analysis]