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For: Tang A, Cruite I, Sirlin CB. Toward a standardized system for hepatocellular carcinoma diagnosis using computed tomography and MRI. Expert Rev Gastroenterol Hepatol. 2013;7:269-279. [PMID: 23445236 DOI: 10.1586/egh.13.3] [Cited by in Crossref: 30] [Cited by in F6Publishing: 26] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Joo I, Lee JM, Lee DH, Jeon JH, Han JK, Choi BI. Noninvasive diagnosis of hepatocellular carcinoma on gadoxetic acid-enhanced MRI: can hypointensity on the hepatobiliary phase be used as an alternative to washout? Eur Radiol 2015;25:2859-68. [DOI: 10.1007/s00330-015-3686-3] [Cited by in Crossref: 89] [Cited by in F6Publishing: 79] [Article Influence: 12.7] [Reference Citation Analysis]
2 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: 32] [Cited by in F6Publishing: 29] [Article Influence: 8.0] [Reference Citation Analysis]
3 Clark TJ, McNeeley MF, Maki JH. Design and implementation of handheld and desktop software for the structured reporting of hepatic masses using the LI-RADS schema. Acad Radiol 2014;21:491-506. [PMID: 24594419 DOI: 10.1016/j.acra.2013.12.014] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 1.4] [Reference Citation Analysis]
4 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]
5 Bashir MR, Huang R, Mayes N, Marin D, Berg CL, Nelson RC, Jaffe TA. Concordance of hypervascular liver nodule characterization between the organ procurement and transplant network and liver imaging reporting and data system classifications: LI-RADS vs. OPTN Categorization. J Magn Reson Imaging 2015;42:305-14. [DOI: 10.1002/jmri.24793] [Cited by in Crossref: 38] [Cited by in F6Publishing: 35] [Article Influence: 4.8] [Reference Citation Analysis]
6 Kim Y, Furlan A, Borhani AA, Bae KT. Computer-aided diagnosis program for classifying the risk of hepatocellular carcinoma on MR images following liver imaging reporting and data system (LI-RADS). J Magn Reson Imaging. 2018;47:710-722. [PMID: 28556283 DOI: 10.1002/jmri.25772] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
7 Azer SA. Deep learning with convolutional neural networks for identification of liver masses and hepatocellular carcinoma: A systematic review. World J Gastrointest Oncol 2019; 11(12): 1218-1230 [PMID: 31908726 DOI: 10.4251/wjgo.v11.i12.1218] [Cited by in CrossRef: 26] [Cited by in F6Publishing: 16] [Article Influence: 8.7] [Reference Citation Analysis]
8 Kim TH, Yoon JH, Lee JM. Emerging Role of Hepatobiliary Magnetic Resonance Contrast Media and Contrast-Enhanced Ultrasound for Noninvasive Diagnosis of Hepatocellular Carcinoma: Emphasis on Recent Updates in Major Guidelines. Korean J Radiol 2019;20:863-79. [PMID: 31132813 DOI: 10.3348/kjr.2018.0450] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
9 Cao QY, Zou ZM, Wang Q, He CN, Zou Q, Wang B. MRI manifestations of hepatic perfusion disorders. Exp Ther Med 2018;15:5199-204. [PMID: 29805544 DOI: 10.3892/etm.2018.6090] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 Lee SM, Lee JM, Ahn SJ, Kang H, Yang HK, Yoon JH. LI-RADS Version 2017 versus Version 2018: Diagnosis of Hepatocellular Carcinoma on Gadoxetate Disodium–enhanced MRI. Radiology 2019;292:655-63. [DOI: 10.1148/radiol.2019182867] [Cited by in Crossref: 29] [Cited by in F6Publishing: 24] [Article Influence: 9.7] [Reference Citation Analysis]
11 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]
12 Tang A, Valasek MA, Sirlin CB. Update on the Liver Imaging Reporting and Data System: What the Pathologist Needs to Know. Adv Anat Pathol 2015;22:314-22. [PMID: 26262514 DOI: 10.1097/PAP.0000000000000089] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 2.1] [Reference Citation Analysis]
13 Waninger JJ, Green MD, Cheze Le Rest C, Rosen B, El Naqa I. Integrating radiomics into clinical trial design. Q J Nucl Med Mol Imaging 2019;63:339-46. [PMID: 31527581 DOI: 10.23736/S1824-4785.19.03217-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
14 Bargellini I, Battaglia V, Bozzi E, Lauretti DL, Lorenzoni G, Bartolozzi C. Radiological diagnosis of hepatocellular carcinoma. J Hepatocell Carcinoma 2014;1:137-48. [PMID: 27508183 DOI: 10.2147/JHC.S44379] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
15 Jia GS, Feng GL, Li JP, Xu HL, Wang H, Cheng YP, Yan LL, Jiang HJ. Using receiver operating characteristic curves to evaluate the diagnostic value of the combination of multislice spiral CT and alpha-fetoprotein levels for small hepatocellular carcinoma in cirrhotic patients. Hepatobiliary Pancreat Dis Int 2017;16:303-9. [PMID: 28603099 DOI: 10.1016/s1499-3872(17)60018-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
16 Kang HJ, Lee JM, Yoon JH, Han JK. Role of Contrast-Enhanced Ultrasound as a Second-Line Diagnostic Modality in Noninvasive Diagnostic Algorithms for Hepatocellular Carcinoma. Korean J Radiol 2021;22:354-65. [PMID: 33236540 DOI: 10.3348/kjr.2020.0973] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
17 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]
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]
19 Choi BI, Lee JM, Kim TK, Dioguardi Burgio M, Vilgrain V. Diagnosing Borderline Hepatic Nodules in Hepatocarcinogenesis: Imaging Performance. AJR Am J Roentgenol. 2015;205:10-21. [PMID: 26102378 DOI: 10.2214/ajr.14.12655] [Cited by in Crossref: 27] [Cited by in F6Publishing: 9] [Article Influence: 3.9] [Reference Citation Analysis]
20 Hwang J, Kim YK, Jeong WK, Choi D, Rhim H, Lee WJ. Nonhypervascular Hypointense Nodules at Gadoxetic Acid-enhanced MR Imaging in Chronic Liver Disease: Diffusion-weighted Imaging for Characterization. Radiology. 2015;276:137-146. [PMID: 25734551 DOI: 10.1148/radiol.15141350] [Cited by in Crossref: 32] [Cited by in F6Publishing: 34] [Article Influence: 4.6] [Reference Citation Analysis]
21 Byun J, Choi SH, Byun JH, Lee SJ, Kim SY, Won HJ, Shin YM, Kim PN. Comparison of the diagnostic performance of imaging criteria for HCCs ≤ 3.0 cm on gadoxetate disodium-enhanced MRI. Hepatol Int 2020;14:534-43. [PMID: 32314171 DOI: 10.1007/s12072-020-10040-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
22 Santillan CS, Tang A, Cruite I, Shah A, Sirlin CB. Understanding LI-RADS: a primer for practical use. Magn Reson Imaging Clin N Am 2014;22:337-52. [PMID: 25086933 DOI: 10.1016/j.mric.2014.04.007] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 4.0] [Reference Citation Analysis]
23 Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu KN, Sirlin CB; LI-RADS Evidence Working Group. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology 2018;286:29-48. [PMID: 29166245 DOI: 10.1148/radiol.2017170554] [Cited by in Crossref: 131] [Cited by in F6Publishing: 128] [Article Influence: 26.2] [Reference Citation Analysis]
24 Ghanekar A, Ahmed S, Chen K, Adeyi O. Endothelial cells do not arise from tumor-initiating cells in human hepatocellular carcinoma. BMC Cancer 2013;13:485. [PMID: 24138671 DOI: 10.1186/1471-2407-13-485] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
25 Krasinskas AM. Cholangiocarcinoma. Surgical Pathology Clinics 2018;11:403-29. [DOI: 10.1016/j.path.2018.02.005] [Cited by in Crossref: 28] [Cited by in F6Publishing: 31] [Article Influence: 7.0] [Reference Citation Analysis]
26 Elmohr MM, Chernyak V, Sirlin CB, Elsayes KM. Liver Imaging Reporting and Data System Comprehensive Guide: MR Imaging Edition. Magn Reson Imaging Clin N Am 2021;29:375-87. [PMID: 34243924 DOI: 10.1016/j.mric.2021.05.012] [Reference Citation Analysis]