REFERENCES
1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Int J Cancer 2018;68:394-424.
2. Selcuk H. Prognostic factors and staging systems in hepatocellular carcinoma. Exp Clin Transplant 2017;15:45-9.
3. Farinati F, Vitale A, Spolverato G, Pawlik TM, Huo TL, et al. Development and Validation of a new prognostic system for patients with hepatocellular carcinoma. PLoS Med 2016;13:e1002006.
4. Rodríguez-Perálvarez M, Luong TV, Andreana L, Meyer T, Dhillon AP, Burroughs AK. A systematic review of microvascular invasion in hepatocellular carcinoma: diagnostic and prognostic variability. Ann Surg Oncol 2013;20:325-9.
5. Sohn JH, Duran R, Zhao Y, Fleckenstein F, Chapiro J, et al. Validation of the Hong Kong liver cancer staging system in determining prognosis of the North American patients following intra-arterial therapy. Clin Gastroenterol Hepatol 2017;15:746-55.e4.
6. Martins-Filho SN, Paiva C, Azevedo RS, Alves VAF. Histological grading of hepatocellular carcinoma-a systematic review of literature. Front Med (Lausanne) 2017;10:193.
7. Degasperi E, Colombo M. Distinctive features of hepatocellular carcinoma in non-alcoholic fatty liver disease. Lancet Gastroenterol Hepatol 2016;1:156-64.
8. Coskun M. Hepatocellular carcinoma in the cirrhotic liver: evaluation using computed tomography and magnetic resonance imaging. Exp Clin Transplant 2017;15:36-44.
9. Yoneda N, Matsui O, Kobayashi S, Kitao A, Kozaka K, et al. Current status of imaging biomarkers predicting the biological nature of hepatocellular carcinoma. Jpn J Radiol 2019;37:191-208.
10. Hu HT, Shen SL, Wang Z, Shan QY, Huang XW, et al. Peritumoral tissue on preoperative imaging reveals microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis. Abdom Radiol (NY) 2018;43:3324-30.
11. Ayuso C, Rimola J, Vilana R, Burrel M, Darnell A, et al. Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines. Eur J Radiol 2018;101:72-81.
12. Schelhorn J, Best J, Dechêne A, Göbel T, Bertram S, et al. Evaluation of combined Gd-EOB-DTPA and gadobutrol magnetic resonance imaging for the prediction of hepatocellular carcinoma grading. Acta Radiologica 2016;57:932-8.
13. Navin PJ, Venkatesh SK. Hepatocellular carcinoma: state of the art imaging and recent advances. J Clin Transl Hepatol 2019;7:72-85.
14. Jiang T, Zhu AX, Sahani DV. Established and novel imaging biomarkers for assessing response to therapy in hepatocellular carcinoma. J Hepatol 2013;58:169-77.
15. Clark T, Maximin S, Meier J, Pokharel S, Bhargava P. Hepatocellular carcinoma: review of epidemiology, screening, imaging diagnosis, response assessment, and treatment. Curr Prob Diagn Radiol 2015;44:479-86.
16. Oishi K, Itamoto T, Amano H, Fukuda S, Ohdan H, et al. Clinicopathologic features of poorly differentiated hepatocellular carcinoma. J Surg Oncol 2007;95:311-6.
17. Himeno H, Enzan H, Saibara T, Onishi S, Yamamoto Y. Hitherto unrecognized arterioles within hepatocellular carcinoma. J Pathol 1994;174:217-22.
18. Hayashi M, Matsui O, Ueda K, Kawamori Y, Gabata T, et al. Progression to hypervascular hepatocellular carcinoma: correlation with intranodular blood supply evaluated with CT during intraarterial injection of contrast material. Radiology 2002;225:143-9.
19. Ye XD, Yuan Z, Zhang J, Yuan Z. Radiological biomarkers for assessing response to locoregional therapies in hepatocellular carcinoma: From morphological to functional imaging (Review). Oncol Rep 2017;37:1337-46.
20. Feng Y, Qin XC, Luo Y, Li YZ, Zhou X. Efficacy of contrast-enhanced ultrasound washout rate in predicting hepatocellular carcinoma differentiation. Ultrasound Med Biol 2015;41:1553-60.
21. Lassau N, Koscielny S, Chami L, Chebil M, Benatsou B, et al. Advanced hepatocellular carcinoma: early evaluation of response to bevacizumab therapy at dynamic contrast-enhanced US with quantification--preliminary results. Radiology 2011;258:291-300.
22. Mann CD, Neal CP, Garcea G, Manson MM, Dennison AR, et al. Prognostic molecular markers in hepatocellular carcinoma: a systematic review. Eur J Cancer 2007;43:979-92.
23. Chen J, Chen C, Xia C, Huang Z, Zuo P, et al. Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density. Abdom Radiol (NY) 2018;43:1393-403.
24. Jiang K, Al-Diffhala S, Centeno BA. Primary liver cancers-part 1: histopathology, differential diagnoses, and risk stratification. Cancer Control 2018;25:1073274817744625.
25. Park YN, Kim MJ. Hepatocarcinogenesis: imaging-pathologic correlation. Abdom Imaging 2011;36:232-43.
26. International Consensus Group for Hepatocellular NeoplasiaThe International Consensus Group for Hepatocellular Neoplasia. Pathologic diagnosis of early hepatocellular carcinoma: a report of the international consensus group for hepatocellular neoplasia. Hepatology 2009;49:658-64.
27. Calistri L, Castellani A, Matteuzzi B, Mazzoni E, Pradella S, et al. Focal liver lesions classification and characterization: what value do DWI and ADC have? J Comput Assist Tomogr 2016;40:701-8.
28. Di Pietropaolo M, Briani C, Federici GF, Marignani M, Begini P, et al. Comparison of diffusion-weighted imaging and gadoxetic acid-enhanced MR images in the evaluation of hepatocellular carcinoma and hypovascular hepatocellular nodules. Clin Imaging 2015;39:468-75.
29. Nasu K, Kuroki Y, Tsukamoto T, Nakajima H, Mori K, et al. Diffusion-weighted imaging of surgically resected hepatocellular carcinoma: imaging characteristics and relationship among signal intensity, apparent diffusion coefficient, and histopathologic grade. AJR Am J Roentgenol 2009;193:438-44.
30. Heo SH, Jeong YY, Shin SS, Kim JW, Lim HS, et al. Apparent diffusion coefficient value of diffusion-weighted imaging for hepatocellular carcinoma: correlation with the histologic differentiation and the expression of vascular endothelial growth factor. Korean J Radiol 2010;11:295-303.
31. Nakanishi M, Chuma M, Hige S, Omatsu T, Yokoo H, et al. Relationship between diffusion-weighted magnetic resonance imaging and histological tumor grading of hepatocellular carcinoma. Ann Surg Oncol 2012;19:1302-9.
32. Li YT, Cercueil JP, Yuan J, Chen W, Loffroy R, et al. Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation. Quant Imaging Med Surg 2017;7:59-78.
33. Granata V, Fusco R, Catalano O, Guarino B, Granata F, et al. Intravoxel incoherent motion (IVIM) in diffusion-weighted imaging (DWI) for Hepatocellular carcinoma: correlation with histologic grade. Oncotarget 2016;7:79357-64.
34. Woo S, Lee JM, Yoon JH, Joo I, Han JK, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade. Radiology 2014;270:758-67.
35. Sokmen BK, Sabet S, Oz A, Server S, Namal E, et al. Value of intravoxel incoherent motion for hepatocellular carcinoma grading. Transplant Proc 2019;51:1861-6.
36. Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed 2010;23:836-48.
37. Cao L, Chen J, Duan T, Wang M, Jiang H, et al. Diffusion kurtosis imaging (DKI) of hepatocellular carcinoma: correlation with microvascular invasion and histologic grade. Quant Imaging Med Surg 2019;9:590-602.
38. Jensen JH, Helpern JA. MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed 2010;23:698-710.
39. Hennedige TP, Hallinan JT, Leung FP, Teo LL, Iyer S, et al. Comparison of magnetic resonance elastography and diffusion-weighted imaging for differentiating benign and malignant liver lesions. Eur Radiol 2016;26:398-406.
40. Thompson SM, Wang J, Chandan VS, Glaser KJ, Roberts LR, et al. MR elastography of hepatocellular carcinoma: correlation of tumor stiffness with histopathology features-Preliminary findings. Magn Reson Imaging 2017;37:41-5.
42. Choi BI, Takayasu K, Han MC. Small hepatocellular carcinomas and associated nodular lesions of the liver: pathology, pathogenesis, and imaging findings. AJR Am J Roentgenol 1993;160:1177-87.
43. Nassif A, Jia J, Keiser M, Oswald S, Modess C, et al. Visualization of hepatic uptake transporter function in healthy subjects by using gadoxetic acid-enhanced MR imaging. Radiology 2012;264:741-50.
44. Fukuda K, Mori K, Hasegawa N, Nasu K, Ishige K, et al. Safety margin of radiofrequency ablation for hepatocellular carcinoma: a prospective study using magnetic resonance imaging with superparamagnetic iron oxide. Jpn J Radiol 2019;37:555-63.
45. Kitao A, Matsui O, Yoneda N, Kozaka K, Shinmura R, et al. The uptake transporter OATP8 expression decreases during multistep hepatocarcinogenesis: correlation with gadoxetic acid enhanced MR imaging. Eur Radiol 2011;21:2056-66.
46. Kogita S, Imai Y, Okada M, Kim T, Onishi H, et al. Gd-EOB-DTPA-enhanced magnetic resonance images of hepatocellular carcinoma: correlation with histological grading and portal blood flow. Eur Radiol 2010;20:2405-13.
47. Zech CJ, Ba-Ssalamah A, Berg T, Chandarana H, Chau GY, et al. Consensus report from the 8th International Forum for Liver Magnetic Resonance Imaging. Eur Radiol 2020;30:370-82.
48. Huang K, Dong Z, Cai H, Huang M, Peng Z, et al. Imaging biomarkers for well and moderate hepatocellular carcinoma: preoperative magnetic resonance image and histopathological correlation. BMC Cancer 2019;19:364.
49. Zois CE, Harris AL. Glycogen metabolism has a key role in the cancer microenvironment and provides new targets for cancer therapy. J Mol Med (Berl) 2016;94:137-54.
50. Cervello M, Augello G, Cusimano A, Emma MR, Balasus D, et al. Pivotal roles of glycogen synthase-3 in hepatocellular carcinoma. Adv Biol Regul 2017;65:59-76.
51. Chen R, Li J, Zhou X, Liu J, Huang G. Fructose-1,6-bisphosphatase 1 reduces (18)F FDG uptake in hepatocellular carcinoma. Radiology 2017;284:844-53.
52. Seo S, Hatano E, Higashi T, Hara T, Tada M, et al. Fluorine-18 fluorodeoxyglucose positron emission tomography predicts tumor differentiation, P-glycoprotein expression, and outcome after resection in hepatocellular carcinoma. Clin Cancer Res 2007;13:427-33.
53. Castilla-Lievre MA, Franco D, Gervais P, Kuhnast B, Agostini H, et al. Diagnostic value of combining 11C-choline and 18F-FDG PET/CT in hepatocellular carcinoma. Eur J Nucl Med Mol Imaging 2016;43:852-9.
54. Kong E, Chun KA, Cho IH. Quantitative assessment of simultaneous F-18 FDG PET/MRI in patients with various types of hepatic tumors: correlation between glucose metabolism and apparent diffusion coefficient. PLoS One 2017;12:e0180184.
55. Zhang X, Li J, Shen F. Significance of presence of microvascular invasion in specimens obtained after surgical treatment of hepatocellular carcinoma. J Gastroenterol Hepatol 2018;33:347-54.
56. Wu TH, Hatano E, Yamanaka K, Seo S, Taura K, et al. A non-smooth tumor margin on preoperative imaging predicts microvascular invasion of hepatocellular carcinoma. Surg Today 2016;46:1275-81.
57. Renzulli M, Buonfiglioli F, Conti F, Brocchi S, Serio I, et al. Imaging features of microvascular invasion in hepatocellular carcinoma developed after direct-acting antiviral therapy in HCV-related cirrhosis. Eur Radiol 2018;28:506-13.
58. Ma XL, Zhu J, Wu J, Tian L, Gao YY, et al. Significance of PIVKA-II levels for predicting microvascular invasion and tumor cell proliferation in Chinese patients with hepatitis B virus-associated hepatocellular carcinoma. Oncol Lett 2018;15:8396-404.
59. Zheng J, Seier K, Gonen M, Balachandran VP, Kingham TP, et al. Utility of serum inflammatory markers for predicting microvascular invasion and survival for patients with hepatocellular carcinoma. Ann Surg Oncol 2017;24:3706-14.
60. Long J, Guo H, Cui S, Zhang H, Liu X, et al. IL-35 expression in hepatocellular carcinoma cells is associated with tumor progression. Oncotarget 2016;7:45678-86.
61. Fransvea E, Mazzocca A, Antonaci S, Giannelli G. Targeting transforming growth factor (TGF)-betaRI inhibits activation of beta1 integrin and blocks vascular invasion in hepatocellular carcinoma. Hepatology 2009;49:839-50.
62. Chou CT, Chen RC, Lin WC, Ko CJ, Chen CB, et al. Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation. AJR Am J Roentgenol 2014;203:W253-9.
63. Rhee H, An C, Kim HY, Yoo JE, Park YN, et al. Hepatocellular carcinoma with irregular rim-like arterial phase hyperenhancement: more aggressive pathologic features. Liver Cancer 2019;8:24-40.
64. Chernyak V, Fowler KJ, Kamaya A, Kielar AZ, Elsayes KM, et al. Liver imaging reporting and data system (LI-RADS) Version 2018: imaging of hepatocellular carcinoma in at-risk patients. Radiology 2018;289:816-30.
65. Zhao J, Li X, Zhang K, Yin X, Meng X, et al. Prediction of microvascular invasion of hepatocellular carcinoma with preoperative diffusion-weighted imaging: A comparison of mean and minimum apparent diffusion coefficient values. Medicine 2017;96:e7754.
66. Wang WT, Yang L, Yang ZX, Hu XX, Ding Y, et al. Assessment of microvascular invasion of hepatocellular carcinoma with diffusion kurtosis imaging. Radiology 2018;286:571-80.
67. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 2005;53:1432-40.
68. Ahn SJ, Kim JH, Park SJ, Kim ST, Han JK. Hepatocellular carcinoma: preoperative gadoxetic acid-enhanced MR imaging can predict early recurrence after curative resection using image features and texture analysis. Abdom Radiol (NY) 2019;44:539-48.
69. Lee S, Kim SH, Lee JE, Sinn DH, Park CK. Preoperative gadoxetic acid-enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma. J Hepatol 2017;67:526-34.
70. Ryu T, Takami Y, Wada Y, Tateishi M, Hara T, et al. A clinical scoring system for predicting microvascular invasion in patients with hepatocellular carcinoma within the milan criteria. J Gastrointest Surg 2019;23:779-87.
71. Peng J, Zhang J, Zhang Q, Xu Y, Zhou J, et al. A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma. Diagn Interv Radiol 2018;24:121-7.
72. Xu X, Zhang HL, Liu QP, Sun SW, Zhang J, et al. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma. J Hepatol 2019;70:1133-44.
73. Ji GW, Zhu FP. Radiomic features at contrast-enhanced CT predict recurrence in early stage hepatocellular carcinoma: a multi-institutional study. Radiology 2020;294:568-79.
74. Zhu YJ, Feng B, Wang S, Wang LM, Wu JF, et al. Model-based three-dimensional texture analysis of contrast-enhanced magnetic resonance imaging as a potential tool for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Oncol Lett 2019;18:720-32.
75. Kutami R, Nakashima Y, Nakashima O, Shiota K, Kojiro M. Pathomorphologic study on the mechanism of fatty change in small hepatocellular carcinoma of humans. J Hepatol 2000;33:282-9.
76. Takayama T, Makuuchi M, Hirohashi S, Sakamoto M, Okazaki N, et al. Malignant transformation of adenomatous hyperplasia to hepatocellular carcinoma. Lancet 1990;336:1150-3.
77. Villanueva A, Newell P, Chiang DY, Friedman SL, Llovet JM. Genomics and signaling pathways in hepatocellular carcinoma. Semin Liver Dis 2007;27:55-76.
78. Asayama Y, Nishie A, Ishigami K, Ushijima Y, Takayama Y, et al. Fatty change in moderately and poorly differentiated hepatocellular carcinoma on MRI: a possible mechanism related to decreased arterial flow. Clin Radiol 2016;71:1277-83.
79. Min JH, Kim YK, Lim S, Jeong WK, Choi D, et al. Prediction of microvascular invasion of hepatocellular carcinomas with gadoxetic acid-enhanced MR imaging: Impact of intra-tumoral fat detected on chemical-shift images. Eur J Radiol 2015;84:1036-43.
80. Kubota N, Ojima H, Hatano M, Yamazaki K, Masugi Y, et al. Clinicopathological features of hepatocellular carcinoma with fatty change: tumors with macrovesicular steatosis have better prognosis and aberrant expression patterns of perilipin and adipophilin. Pathol Int 2020;70:199-209.
81. Yamaguchi H, Condeelis J. Regulation of the actin cytoskeleton in cancer cell migration and invasion. Biochimica et biophysica acta 2007;1773:642-652.
82. Kim YY, Choi JY, Sirlin CB, An C, Kim MJ. Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS). Eur Radiol 2019;29:1124-32.
83. Qin S. Guidelines on the diagnosis and treatment of primary liver cancer (2011 edition). Chin Clin Oncol 2012;1:10.
84. Hennedige T, Venkatesh SK. Advances in computed tomography and magnetic resonance imaging of hepatocellular carcinoma. World J Gastroenterol 2016;22:205-20.
85. Cheng S, Chen M, Cai J. Chinese expert consensus on multidisciplinary diagnosis and treatment of hepatocellular carcinoma with portal vein tumor thrombus: 2016 edition. Oncotarget 2017;8:8867-76.
86. Ponziani FR, Zocco MA, Campanale C, Rinninella E, Tortora A, et al. Portal vein thrombosis: insight into physiopathology, diagnosis, and treatment. World J Gastroenterol 2010;16:143-55.
87. Kanematsu M, Semelka RC, Leonardou P, Mastropasqua M, Lee JK. Hepatocellular carcinoma of diffuse type: MR imaging findings and clinical manifestations. J Magn Reson Imaging 2003;18:189-95.
88. An J, Lee KS, Kim KM. Clinical features and outcomes of patients with hepatocellular carcinoma complicated with bile duct invasion. Clin Mol Hepatol 2017;23:160-9.
89. Chotirosniramit A, Liwattanakun A, Lapisatepun W, Ko-Iam W, Sandhu T, et al. A single institution report of 19 hepatocellular carcinoma patients with bile duct tumor thrombus. J Hepatocell Carcinoma 2017;4:41-7.
90. Suh YG, Kim DY, Han KH, Seong J. Effective biliary drainage and proper treatment improve outcomes of hepatocellular carcinoma with obstructive jaundice. Gut Liver 2014;8:526-35.
91. Liu QY, Huang SQ, Chen JY, Li HG, Gao M, et al. Small hepatocellular carcinoma with bile duct tumor thrombi: CT and MRI findings. Abdom Imaging 2010;35:537-42.
92. Lu CH, Chen CL, Cheng YF, Huang TL, Tsang LL, et al. Correlation between imaging and pathologic findings in explanted livers of hepatocellular carcinoma cases. Transplant Proc 2010;42:830-3.
93. Liu Q, Chen J, Li H, Liang B, Zhang L, et al. Hepatocellular carcinoma with bile duct tumor thrombi: correlation of magnetic resonance imaging features to histopathologic manifestations. Eur J Radiol 2010;76:103-9.
94. Giannelli G, Rani B, Dituri F, Cao Y, Palasciano G. Moving towards personalised therapy in patients with hepatocellular carcinoma: the role of the microenvironment. Gut 2014;63:1668-76.
95. Ariizumi S, Kitagawa K, Kotera Y, Takahashi Y, Katagiri S, et al. A non-smooth tumor margin in the hepatobiliary phase of gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced magnetic resonance imaging predicts microscopic portal vein invasion, intrahepatic metastasis, and early recurrence after hepatectomy in patients with hepatocellular carcinoma. J Hepatobiliary Pancreat Sci 2011;18:575-85.
96. Seo HJ, Kim GM, Kim JH, Kang WJ, Choi HJ. 18F-FDG PET/CT in hepatocellular carcinoma: detection of bone metastasis and prediction of prognosis. Nucl Med Commun 2015;36:226-33.
97. Hwang SH, Lee JW, Cho HJ, Kim KS, Choi GH, et al. Prognostic value of metabolic tumor volume and total lesion glycolysis on preoperative 18F-FDG PET/CT in patients with very early and early hepatocellular carcinoma. Clin Nucl Med 2017;42:34-9.
98. Ho CL, Chen S, Yeung DW, Cheng TK. Dual-tracer PET/CT imaging in evaluation of metastatic hepatocellular carcinoma. J Nucl Med 2007;48:902-9.
99. Kitao A, Matsui O, Yoneda N, Kozaka K, Kobayashi S, et al. Hepatocellular carcinoma with β-catenin mutation: Imaging and pathologic characteristics. Radiology 2015;275:708-17.
100. Zucman-Rossi J, Jeannot E, Nhieu JT, Scoazec JY, Guettier C, et al. Genotype-phenotype correlation in hepatocellular adenoma: new classification and relationship with HCC. Hepatology 2006;43:515-24.
101. Kitao A, Matsui O, Yoneda N, Kozaka K, Kobayashi S, et al. Gadoxetic acid-enhanced MR imaging for hepatocellular carcinoma: molecular and genetic background. Eur Radiol 2020. Epub ahead of print. doi: 10.1007/s00330-020-06687-y
102. Guzman G, Alagiozian-Angelova V, Layden-Almer JE, Layden TJ, Testa G, et al. p53, Ki-67, and serum alpha feto-protein as predictors of hepatocellular carcinoma recurrence in liver transplant patients. Mod Pathol 2005;18:1498-503.
103. Chen J, Chen C, Xia C, Huang Z, Zuo P, et al. Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density. Abdom Radiol (NY) 2018;43:1393-403.
104. Chen Y, Qin X, Long L, Zhang L, Huang Z, et al. Diagnostic value of Gd-EOB-DTPA-enhanced MRI for the expression of Ki67 and microvascular density in hepatocellular carcinoma. J Magn Reson Imaging 2019. Epub ahead of print. doi: 10.1002/jmri.26974
105. Li Y, Chen J, Weng S, Sun H, Yan C, et al. Small hepatocellular carcinoma: using MRI to predict histological grade and Ki-67 expression. Clin Radiol 2019;74:653.e1-653.e9.
106. Surov A, Meyer HJ, Wienke A. Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 1: ADCmean. Oncotarget 2017;8:75434-44.
107. Ye Z, Jiang H, Chen J, Liu X, Wei Y, et al. Texture analysis on gadoxetic acid enhanced-MRI for predicting Ki-67 status in hepatocellular carcinoma: a prospective study. Chin J Cancer Res 2019;31:806-17.
108. Tsuchiya K, Komuta M, Yasui Y, Tamaki N, Hosokawa T, et al. Expression of keratin 19 is related to high recurrence of hepatocellular carcinoma after radiofrequency ablation. Oncology 2011;80:278-88.
110. Chen J, Wu Z, Xia C, Jiang H, Liu X, et al. Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI. Eur Radiol 2020;30:1232-42.
111. Hu XX, Wang WT, Yang L, Yang ZX, Liang HY, et al. MR features based on LI-RADS identify cytokeratin 19 status of hepatocellular carcinomas. Eur J Radiol 2019;113:7-14.
112. Choi SY, Kim SH, Park CK, Min JH, Lee JE, et al. Imaging features of gadoxetic acid-enhanced and diffusion-weighted MR imaging for identifying cytokeratin 19-positive hepatocellular carcinoma: a retrospective observational study. Radiology 2018;286:897-908.
113. Munz M, Baeuerle PA, Gires O. The emerging role of EpCAM in cancer and stem cell signaling. Cancer Res 2009;69:5627-9.
114. Zhou L, Zhu Y. The EpCAM overexpression is associated with clinicopathological significance and prognosis in hepatocellular carcinoma patients: a systematic review and meta-analysis. Int J Surg 2018;56:274-80.
