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               31.  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.
               32.  Hu H, Zheng Q, Huang Y, Huang XW, Lai ZC, et al. A non-smooth tumor margin on preoperative imaging assesses microvascular invasion
                   of hepatocellular carcinoma: a systematic review and meta-analysis. Sci Rep 2017;7:15375.
               33.  Banerjee S, Wang DS, Kim HJ, Sirlin CB, Chan MG, et al. A computed tomography radiogenomic biomarker predicts microvascular
                   invasion and clinical outcomes in hepatocellular carcinoma. Hepatology 2015;62:792-800.
               34.  Zhao H, Hua Y, Dai T, He J, Tang M, et al. Development and validation of a novel predictive scoring model for microvascular invasion in
                   patients with hepatocellular carcinoma. Eur J Radiol 2017;88:32-40.
               35.  Muramatsu Y, Nawano S, Takayasu K, Moriyama N, Yamada T, et al. Early hepatocellular carcinoma: MR imaging. Radiology
                   1991;181:209-13.
               36.  Kadoya M, Matsui O, Takashima T, Nonomura A. Hepatocellular carcinoma: correlation of MR imaging and histopathologic findings.
                   Radiology 1992;183:819-25.
               37.  Ebara M, Fukuda H, Kojima Y, Morimoto N, Yoshikawa M, et al. Small hepatocellular carcinoma: relationship of signal intensity to
                   histopathologic findings and metal content of the tumor and surrounding hepatic parenchyma. Radiology 1999;210:81-8.
               38.  Enomoto S, Tamai H, Shingaki N, Mori Y, Moribata K, et al. Assessment of hepatocellular carcinomas using conventional magnetic
                   resonance imaging correlated with histological differentiation and a serum marker of poor prognosis. Hepatol Int 2011;5:730-7.
               39.  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.
               40.  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.
               41.  Nishie A, Tajima T, Asayama Y, Ishigami K, Kakihara D, et al. Diagnostic performance of apparent diffusion coefficient for predicting
                   histological grade of hepatocellular carcinoma. Eur J Radiol 2011;80:e29-33.
               42.  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.
               43.  Tang Y, Wang H, Ma L, Zhang X, Yu G, et al. Diffusion-weighted imaging of hepatocellular carcinomas: a retrospective analysis of
                   correlation between apparent diffusion coefficients and histological grade. Abdom Radiol (NY) 2016;41:1539-45.
               44.  Li X, Zhang K, Shi Y, Wang F, Meng X. Correlations between the minimum and mean apparent diffusion coefficient values of hepatocellular
                   carcinoma and tumor grade. J Magn Reson Imaging 2016;44:1442-7.
               45.  Xu P, Zeng M, Liu K, Shan Y, Xu C, et al. Microvascular invasion in small hepatocellular carcinoma: is it predictable with preoperative
                   diffusion-weighted imaging? J Gastroenterol Hepatol 2014;29:330-6.
               46.  Suh YJ, Kim MJ, Choi JY, Park MS, Kim KW. Preoperative prediction of the microvascular invasion of hepatocellular carcinoma with
                   diffusion-weighted imaging. Liver Transpl 2012;18:1171-8.
               47.  Okamura S, Sumie S, Tonan T, Nakano M, Satani M, et al. Diffusion-weighted magnetic resonance imaging predicts malignant potential in
                   small hepatocellular carcinoma. Dig Liver Dis 2016;48:945-52.
               48.  Chen J, Wu M, Liu R, Li S, Gao R, et al. Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-
                   weighted imaging: a meta-analysis. PLoS One 2015;10:e0117661.
               49.  Park IK, Yu JS, Cho ES, Kim JH, Chung JJ. Apparent diffusion coefficient of hepatocellular carcinoma on diffusion-weighted imaging:
                   histopathologic tumor grade versus arterial vascularity during dynamic magnetic resonance imaging. PLoS One 2018;13:e0197070.
               50.  Moriya T, Saito K, Tajima Y, Harada TL, Araki Y, et al. 3D analysis of apparent diffusion coefficient histograms in hepatocellular carcinoma:
                   correlation with histological grade. Cancer Imaging 2017;17:1.
               51.  Ogihara Y, Kitazume Y, Iwasa Y, Taura S, Himeno Y, et al. Prediction of histological grade of hepatocellular carcinoma using quantitative
                   diffusion-weighted MRI: a retrospective multivendor study. Br J Radiol 2018;91:20170728.
               52.  Iwasa Y, Kitazume Y, Tateishi U, Saida Y, Ban D, et al. Hepatocellular carcinoma histological grade prediction: a quantitative comparison of
                   diffusion-weighted, T2-weighted, and hepatobiliary-phase magnetic resonance imaging. J Comput Assist Tomogr 2016;40:463-70.
               53.  Mori Y, Tamai H, Shingaki N, Moribata K, Deguchi H, et al. Signal intensity of small hepatocellular carcinoma on apparent diffusion
                   coefficient mapping and outcome after radiofrequency ablation. Hepatol Res 2015;45:75-87.
               54.  Zhao W, Liu W, Liu H, Yi X, Hou J, et al. Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM
                   diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging. PLoS One 2018;13:e0197488.
               55.  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.
               56.  Chang WC, Chen RC, Chou CT, Lin CY, Yu CY, et al. Histological grade of hepatocellular carcinoma correlates with arterial enhancement
                   on gadoxetic acid-enhanced and diffusion-weighted MR images. Abdom Imaging 2014;39:1202-12.
               57.  Kim KA, Kim MJ, Jeon HM, Kim KS, Choi JS, et al. Prediction of microvascular invasion of hepatocellular carcinoma: usefulness of
                   peritumoral hypointensity seen on gadoxetate disodium-enhanced hepatobiliary phase images. J Magn Reson Imaging 2012;35:629-34.
               58.  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.
               59.  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.
               60.  Tada T, Kumada T, Toyoda H, Ito T, Sone Y, et al. Diagnostic accuracy for macroscopic classification of nodular hepatocellular carcinoma:
                   comparison of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging and angiography-
                   assisted computed tomography. J Gastroenterol 2015;50:85-94.
               61.  Chen C, Zhao H, Fu X, Huang L, Tang M, et al. Contrast-enhanced computed tomography plus gadolinium-ethoxybenzyl diethylenetriamine
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