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For: 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. [PMID: 22767394 DOI: 10.1002/lt.23502] [Cited by in Crossref: 65] [Cited by in F6Publishing: 67] [Article Influence: 7.2] [Reference Citation Analysis]
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6 Zhu W, Qing X, Yan F, Luo Y, Li Y, Zhou X. Can the Contrast-Enhanced Ultrasound Washout Rate Be Used to Predict Microvascular Invasion in Hepatocellular Carcinoma? Ultrasound in Medicine & Biology 2017;43:1571-80. [DOI: 10.1016/j.ultrasmedbio.2017.04.003] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
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9 Mori Y, Tamai H, Shingaki N, Hayami S, Ueno M, Maeda Y, Moribata K, Deguchi H, Niwa T, Inoue I, Maekita T, Iguchi M, Kato J, Terada M, Yamaue H, Ichinose M. Hypointense hepatocellular carcinomas on apparent diffusion coefficient mapping: Pathological features and metastatic recurrence after hepatectomy. Hepatol Res 2016;46:634-41. [PMID: 26407147 DOI: 10.1111/hepr.12598] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
10 Chuang YH, Ou HY, Yu CY, Chen CL, Weng CC, Tsang LL, Hsu HW, Lim WX, Huang TL, Cheng YF. Diffusion-weighted imaging for identifying patients at high risk of tumor recurrence following liver transplantation. Cancer Imaging 2019;19:74. [PMID: 31730015 DOI: 10.1186/s40644-019-0264-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
11 Wang WT, Yang L, Yang ZX, Hu XX, Ding Y, Yan X, Fu CX, Grimm R, Zeng MS, Rao SX. Assessment of Microvascular Invasion of Hepatocellular Carcinoma with Diffusion Kurtosis Imaging. Radiology 2018;286:571-80. [PMID: 28937853 DOI: 10.1148/radiol.2017170515] [Cited by in Crossref: 54] [Cited by in F6Publishing: 62] [Article Influence: 10.8] [Reference Citation Analysis]
12 Chen Y, Xia Y, Tolat PP, Long L, Jiang Z, Huang Z, Tang Q. Comparison of Conventional Gadoxetate Disodium-Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular Invasion. AJR Am J Roentgenol 2021;216:1510-20. [PMID: 33826360 DOI: 10.2214/AJR.20.23255] [Reference Citation Analysis]
13 Zhou H, Sun J, Jiang T, Wu J, Li Q, Zhang C, Zhang Y, Cao J, Sun Y, Jiang Y, Liu Y, Zhou X, Huang P. A Nomogram Based on Combining Clinical Features and Contrast Enhanced Ultrasound LI-RADS Improves Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Front Oncol 2021;11:699290. [PMID: 34307168 DOI: 10.3389/fonc.2021.699290] [Reference Citation Analysis]
14 Zhou Y, Wang X, Xu C, Zhou G, Liu X, Gao S, Xu P. Mass-forming intrahepatic cholangiocarcinoma: Can diffusion-weighted imaging predict microvascular invasion? J Magn Reson Imaging 2019;50:315-24. [PMID: 30444023 DOI: 10.1002/jmri.26566] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
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24 Lim C, Salloum C, Chalaye J, Lahat E, Costentin CE, Osseis M, Itti E, Feray C, Azoulay D. 18F-FDG PET/CT predicts microvascular invasion and early recurrence after liver resection for hepatocellular carcinoma: A prospective observational study. HPB (Oxford). 2018;. [PMID: 30401520 DOI: 10.1016/j.hpb.2018.10.007] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 4.0] [Reference Citation Analysis]
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31 Hwang S, Song GW, Lee YJ, Kim KH, Ahn CS, Moon DB, Ha TY, Jung DH, Park GC, Lee SG. Multiplication of Tumor Volume by Two Tumor Markers Is a Post-Resection Prognostic Predictor for Solitary Hepatocellular Carcinoma. J Gastrointest Surg 2016;20:1807-20. [PMID: 27311982 DOI: 10.1007/s11605-016-3187-y] [Cited by in Crossref: 19] [Cited by in F6Publishing: 13] [Article Influence: 3.2] [Reference Citation Analysis]
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