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For: Lim KS. Diffusion-weighted MRI of hepatocellular carcinoma in cirrhosis. Clin Radiol. 2014;69:1-10. [PMID: 24034549 DOI: 10.1016/j.crad.2013.07.022] [Cited by in Crossref: 33] [Cited by in F6Publishing: 29] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Wurnig MC, Donati OF, Ulbrich E, Filli L, Kenkel D, Thoeny HC, Boss A. Systematic analysis of the intravoxel incoherent motion threshold separating perfusion and diffusion effects: Proposal of a standardized algorithm: Proposal of a Standardized Algorithm for IVIM Analysis. Magn Reson Med 2015;74:1414-22. [DOI: 10.1002/mrm.25506] [Cited by in Crossref: 62] [Cited by in F6Publishing: 63] [Article Influence: 7.8] [Reference Citation Analysis]
2 Sung PS, Choi MH, Yang H, Lee SK, Chun HJ, Jang JW, Choi JY, Yoon SK, Choi JI, Lee YJ, Bae SH. Diffusion-Weighted Magnetic Resonance Imaging in Hepatocellular Carcinoma as a Predictor of a Response to Cisplatin-Based Hepatic Arterial Infusion Chemotherapy. Front Oncol 2020;10:600233. [PMID: 33330098 DOI: 10.3389/fonc.2020.600233] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Ippolito D, Inchingolo R, Grazioli L, Drago SG, Nardella M, Gatti M, Faletti R. Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma. World J Gastroenterol 2018;24:2413-26. [PMID: 29930464 DOI: 10.3748/wjg.v24.i23.2413] [Cited by in CrossRef: 14] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
4 Cerny M, Chernyak V, Olivié D, Billiard J, Murphy-lavallée J, Kielar AZ, Elsayes KM, Bourque L, Hooker JC, Sirlin CB, Tang A. LI-RADS Version 2018 Ancillary Features at MRI. RadioGraphics 2018;38:1973-2001. [DOI: 10.1148/rg.2018180052] [Cited by in Crossref: 38] [Cited by in F6Publishing: 30] [Article Influence: 9.5] [Reference Citation Analysis]
5 Rostambeigi N, Taylor AJ, Golzarian J, Jensen EH, Pruett TL, Dudeja V, D'Souza D. Effect of MRI Versus MDCT on Milan Criteria Scores and Liver Transplantation Eligibility. AJR Am J Roentgenol 2016;206:726-33. [PMID: 26796867 DOI: 10.2214/AJR.15.14642] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 1.7] [Reference Citation Analysis]
6 Kambadakone AR, Fung A, Gupta RT, Hope TA, Fowler KJ, Lyshchik A, Ganesan K, Yaghmai V, Guimaraes AR, Sahani DV, Miller FH. LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound. Abdom Radiol (NY) 2018;43:56-74. [PMID: 28940042 DOI: 10.1007/s00261-017-1325-y] [Cited by in Crossref: 34] [Cited by in F6Publishing: 31] [Article Influence: 8.5] [Reference Citation Analysis]
7 Qu J, Han S, Zhang H, Liu H, Wang Z, Kamel IR, Berthold K, Dominik NM, Zhang S, Dong Y, Jiang L, Liu C, Li H. Improved Detection of Recurrent Hepatocellular Carcinomas in Arterial Phase With CAIPIRINHA-Dixon-TWIST-Volumetric Interpolated Breath-Hold Examination. Invest Radiol 2016;51:602-8. [DOI: 10.1097/rli.0000000000000281] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 1.2] [Reference Citation Analysis]
8 Schelhorn J, Best J, Reinboldt MP, Dechêne A, Gerken G, Ruhlmann M, Lauenstein TC, Antoch G, Kinner S. Does diffusion-weighted imaging improve therapy response evaluation in patients with hepatocellular carcinoma after radioembolization? comparison of MRI using Gd-EOB-DTPA with and without DWI: DWI in HCC Response Evaluation After RE. J Magn Reson Imaging 2015;42:818-27. [DOI: 10.1002/jmri.24827] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 1.4] [Reference Citation Analysis]
9 Yacoub JH, Elsayes KM, Fowler KJ, Hecht EM, Mitchell DG, Santillan C, Szklaruk J. Pitfalls in liver MRI: Technical approach to avoiding misdiagnosis and improving image quality: Pitfalls in Liver MRI: Technical Approach. J Magn Reson Imaging 2019;49:41-58. [DOI: 10.1002/jmri.26343] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
10 Schraml C, Kaufmann S, Rempp H, Syha R, Ketelsen D, Notohamiprodjo M, Nikolaou K. Imaging of HCC-Current State of the Art. Diagnostics (Basel). 2015;5:513-545. [PMID: 26854169 DOI: 10.3390/diagnostics5040513] [Cited by in Crossref: 18] [Cited by in F6Publishing: 16] [Article Influence: 2.6] [Reference Citation Analysis]
11 Wolff D, van Melle JP, Dijkstra H, Bartelds B, Willems TP, Hillege H, van den Berg AP, Ebels T, Sijens PE, Berger RM. The Fontan circulation and the liver: A magnetic resonance diffusion-weighted imaging study. Int J Cardiol 2016;202:595-600. [PMID: 26447669 DOI: 10.1016/j.ijcard.2015.09.088] [Cited by in Crossref: 21] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
12 Dunst D, Ream JM, Khalef V, Hajdu CH, Rosenkrantz AB. Comparison of MRI features of pathologically proven hepatocellular carcinoma between patients with hepatitis B and hepatitis C infection. Clin Imaging 2016;40:352-6. [PMID: 27133666 DOI: 10.1016/j.clinimag.2016.01.014] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
13 De Robertis R, Tinazzi Martini P, Demozzi E, Puntel G, Ortolani S, Cingarlini S, Ruzzenente A, Guglielmi A, Tortora G, Bassi C, Pederzoli P, D’Onofrio M. Prognostication and response assessment in liver and pancreatic tumors: The new imaging. World J Gastroenterol 2015; 21(22): 6794-6808 [PMID: 26078555 DOI: 10.3748/wjg.v21.i22.6794] [Cited by in CrossRef: 18] [Cited by in F6Publishing: 12] [Article Influence: 2.6] [Reference Citation Analysis]
14 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: ADC Values of HCC and Tumor Grade. J Magn Reson Imaging 2016;44:1442-7. [DOI: 10.1002/jmri.25323] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 3.7] [Reference Citation Analysis]
15 Han S, Choi JI, Park MY, Choi MH, Rha SE, Lee YJ. The Diagnostic Performance of Liver MRI without Intravenous Contrast for Detecting Hepatocellular Carcinoma: A Case-Controlled Feasibility Study. Korean J Radiol 2018;19:568-77. [PMID: 29962863 DOI: 10.3348/kjr.2018.19.4.568] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 5.0] [Reference Citation Analysis]
16 Niendorf E, Spilseth B, Wang X, Taylor A. Contrast Enhanced MRI in the Diagnosis of HCC. Diagnostics (Basel). 2015;5:383-398. [PMID: 26854161 DOI: 10.3390/diagnostics5030383] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 2.1] [Reference Citation Analysis]
17 Inchingolo R, De Gaetano AM, Curione D, Ciresa M, Miele L, Pompili M, Vecchio FM, Giuliante F, Bonomo L. Role of diffusion-weighted imaging, apparent diffusion coefficient and correlation with hepatobiliary phase findings in the differentiation of hepatocellular carcinoma from dysplastic nodules in cirrhotic liver. Eur Radiol 2015;25:1087-96. [PMID: 25430005 DOI: 10.1007/s00330-014-3500-7] [Cited by in Crossref: 34] [Cited by in F6Publishing: 34] [Article Influence: 4.3] [Reference Citation Analysis]
18 Horowitz JM, Kamel IR, Arif-tiwari H, Asrani SK, Hindman NM, Kaur H, Mcnamara MM, Noto RB, Qayyum A, Lalani T. ACR Appropriateness Criteria ® Chronic Liver Disease. Journal of the American College of Radiology 2017;14:S103-17. [DOI: 10.1016/j.jacr.2017.02.011] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.4] [Reference Citation Analysis]
19 Lewis S, Dyvorne H, Cui Y, Taouli B. Diffusion-weighted imaging of the liver: techniques and applications. MagnReson Imaging Clin N Am. 2014;22:373-395. [PMID: 25086935 DOI: 10.1016/j.mric.2014.04.009] [Cited by in Crossref: 39] [Cited by in F6Publishing: 31] [Article Influence: 5.6] [Reference Citation Analysis]
20 Chen J, Wu M, Liu R, Li S, Gao R, Song B. Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis. PLoS One 2015;10:e0117661. [PMID: 25658359 DOI: 10.1371/journal.pone.0117661] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 3.1] [Reference Citation Analysis]
21 Campos-Correia D, Cruz J, Matos AP, Figueiredo F, Ramalho M. Magnetic resonance imaging ancillary features used in Liver Imaging Reporting and Data System: An illustrative review. World J Radiol 2018; 10(2): 9-23 [PMID: 29507710 DOI: 10.4329/wjr.v10.i2.9] [Cited by in CrossRef: 1] [Article Influence: 0.3] [Reference Citation Analysis]
22 Coty JB, Paisant A, Esvan M, Lonjon J, Seror O, Rode A, Ronot M, Lebigot J, Vilgrain V, Aubé C. A proposal for a useful algorithm to diagnose small hepatocellular carcinoma on MRI. Eur J Gastroenterol Hepatol 2020;32:74-9. [PMID: 31211723 DOI: 10.1097/MEG.0000000000001476] [Reference Citation Analysis]
23 Hicks RM, Yee J, Ohliger MA, Weinstein S, Kao J, Ikram NS, Hope TA. Comparison of diffusion-weighted imaging and T2-weighted single shot fast spin-echo: Implications for LI-RADS characterization of hepatocellular carcinoma. Magn Reson Imaging 2016;34:915-21. [PMID: 27108359 DOI: 10.1016/j.mri.2016.04.007] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.3] [Reference Citation Analysis]
24 Kim HA, Kim KA, Choi JI, Lee JM, Lee CH, Kang TW, Ku YM, Lee SL, Park YS, Yoon JH, Kim SH, Choi MH. Comparison of biannual ultrasonography and annual non-contrast liver magnetic resonance imaging as surveillance tools for hepatocellular carcinoma in patients with liver cirrhosis (MAGNUS-HCC): a study protocol. BMC Cancer 2017;17:877. [PMID: 29268722 DOI: 10.1186/s12885-017-3819-y] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.8] [Reference Citation Analysis]
25 Taffel MT, Johnson EJ, Chandarana H. Diffusion Quantification in Body Imaging. Topics in Magnetic Resonance Imaging 2017;26:243-9. [DOI: 10.1097/rmr.0000000000000144] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.2] [Reference Citation Analysis]
26 Zhong X, Guan T, Tang D, Li J, Lu B, Cui S, Tang H. Differentiation of small (≤ 3 cm) hepatocellular carcinomas from benign nodules in cirrhotic liver: the added additive value of MRI-based radiomics analysis to LI-RADS version 2018 algorithm. BMC Gastroenterol 2021;21:155. [PMID: 33827440 DOI: 10.1186/s12876-021-01710-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Wang W, Wei C. Advances in the early diagnosis of hepatocellular carcinoma. Genes Dis 2020;7:308-19. [PMID: 32884985 DOI: 10.1016/j.gendis.2020.01.014] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
28 Jones RH, Taylor AJ, Rostambeigi N, Spilseth B. Small hepatocellular carcinomas displayed as a ring enhancing mass on arterial phase MRI in the chronically diseased liver. Clin Radiol 2017;72:995.e1-9. [PMID: 28751038 DOI: 10.1016/j.crad.2017.07.001] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
29 Horowitz JM, Kamel IR, Arif-tiwari H, Asrani SK, Hindman NM, Kaur H, Mcnamara MM, Noto RB, Qayyum A, Lalani T. ACR Appropriateness Criteria ® Chronic Liver Disease. Journal of the American College of Radiology 2017;14:S391-405. [DOI: 10.1016/j.jacr.2017.08.045] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
30 Zhao J, Li X, Zhang K, Yin X, Meng X, Han L, Zhang X. Prediction of microvascular invasion of hepatocellular carcinoma with preoperative diffusion-weighted imaging: A comparison of mean and minimum apparent diffusion coefficient values. Medicine (Baltimore) 2017;96:e7754. [PMID: 28816952 DOI: 10.1097/MD.0000000000007754] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 2.6] [Reference Citation Analysis]