Page 25 - Read Online

Zhang et al. Hepatoma Res 2020;6:30 I http://dx.doi.org/10.20517/2394-5079.2020.17 Page 13 of 16

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.