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For: Reginelli A, Vacca G, Segreto T, Picascia R, Clemente A, Urraro F, Serra N, Vanzulli A, Cappabianca S. Can microvascular invasion in hepatocellular carcinoma be predicted by diagnostic imaging? A critical review. Future Oncol 2018;14:2985-94. [PMID: 30084651 DOI: 10.2217/fon-2018-0175] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Çelebi F, Görmez A, Serkan Ilgun A, Tokat Y, Cem Balcı N. The role of 18F- FDG PET/MRI in preoperative prediction of MVI in patients with HCC. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110196] [Reference Citation Analysis]
2 Wang F, Numata K, Nihonmatsu H, Chuma M, Moriya S, Nozaki A, Ogushi K, Fukuda H, Ruan L, Okada M, Luo W, Koizumi N, Nakano M, Otani M, Inayama Y, Maeda S. Intraprocedurally EOB-MRI/US fusion imaging focusing on hepatobiliary phase findings can help to reduce the recurrence of hepatocellular carcinoma after radiofrequency ablation. Int J Hyperthermia 2020;37:1149-58. [PMID: 32996799 DOI: 10.1080/02656736.2020.1825837] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Lewin M, Laurent-Bellue A, Desterke C, Radu A, Feghali JA, Farah J, Agostini H, Nault JC, Vibert E, Guettier C. Evaluation of perfusion CT and dual-energy CT for predicting microvascular invasion of hepatocellular carcinoma. Abdom Radiol (NY) 2022. [PMID: 35419748 DOI: 10.1007/s00261-022-03511-7] [Reference Citation Analysis]
4 Wei Y, Huang Z, Tang H, Deng L, Yuan Y, Li J, Wu D, Wei X, Song B. IVIM improves preoperative assessment of microvascular invasion in HCC. EurRadiol. 2019;29:5403-5414. [PMID: 30877465 DOI: 10.1007/s00330-019-06088-w] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 8.0] [Reference Citation Analysis]
5 Song D, Wang Y, Wang W, Cai J, Zhu K, Lv M, Gao Q, Zhou J, Fan J, Rao S, Wang M, Wang X. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters. J Cancer Res Clin Oncol. 2021 epub ahead of print. [PMID: 33839938 DOI: 10.1007/s00432-021-03617-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
6 Dong Y, Qiu Y, Yang D, Yu L, Zuo D, Zhang Q, Tian X, Wang WP, Jung EM. Potential application of dynamic contrast enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinoma. Clin Hemorheol Microcirc 2021;77:461-9. [PMID: 33459703 DOI: 10.3233/CH-201085] [Cited by in Crossref: 8] [Cited by in F6Publishing: 2] [Article Influence: 8.0] [Reference Citation Analysis]
7 Min JH, Lee MW, Park HS, Lee DH, Park HJ, Lim S, Choi SY, Lee J, Lee JE, Ha SY, Cha DI, Carriere KC, Ahn JH. Interobserver Variability and Diagnostic Performance of Gadoxetic Acid-enhanced MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma. Radiology 2020;297:573-81. [PMID: 32990512 DOI: 10.1148/radiol.2020201940] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
8 Vacca G, Reginelli A, Urraro F, Sangiovanni A, Bruno F, Di Cesare E, Cappabianca S, Vanzulli A. Magnetic resonance severity index assessed by T1-weighted imaging for acute pancreatitis: correlation with clinical outcomes and grading of the revised Atlanta classification-a narrative review. Gland Surg 2020;9:2312-20. [PMID: 33447582 DOI: 10.21037/gs-20-554] [Reference Citation Analysis]
9 Zhang EL, Cheng Q, Huang ZY, Dong W. Revisiting Surgical Strategies for Hepatocellular Carcinoma With Microvascular Invasion. Front Oncol 2021;11:691354. [PMID: 34123861 DOI: 10.3389/fonc.2021.691354] [Reference Citation Analysis]
10 Song L, Li J, Luo Y. The importance of a nonsmooth tumor margin and incomplete tumor capsule in predicting HCC microvascular invasion on preoperative imaging examination: a systematic review and meta-analysis. Clin Imaging. 2020;76:77-82. [PMID: 33578134 DOI: 10.1016/j.clinimag.2020.11.057] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Carrafiello G, Brunese L. Special focus issue: ‘innovations in diagnostic and interventional oncology’. Future Oncology 2018;14:2889-91. [DOI: 10.2217/fon-2018-0699] [Reference Citation Analysis]