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For: Heo SH, Jeong YY, Shin SS, Kim JW, Lim HS, Lee JH, Koh YS, Cho CK, Kang HK. 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. [PMID: 20461183 DOI: 10.3348/kjr.2010.11.3.295] [Cited by in Crossref: 90] [Cited by in F6Publishing: 92] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
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9 Ko SF, Yip HK, Zhen YY, Lee CC, Li JH, Lee CC, Leu S, Huang CC, Ng SH, Lin JW. Cancer Patient-Derived Circulating Microparticles Enhance Lung Metastasis in a Rat Model: Dual-Source CT, Cellular, and Molecular Studies. Mol Imaging Biol 2016;18:490-9. [PMID: 26669780 DOI: 10.1007/s11307-015-0923-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.4] [Reference Citation Analysis]
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11 Kang DH, Shim SW, Koh SJ, Nam JG, Kim YM, Weon YC. MR imaging findings of metastatic hepatocellular carcinoma in the nasal cavity: a rare site of spread. BJR Case Rep 2017;3:20160111. [PMID: 30363288 DOI: 10.1259/bjrcr.20160111] [Reference Citation Analysis]
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14 Kaneko K, Nishie A, Arima F, Yoshida T, Ono K, Omagari J, Honda H. A case of diffuse-type primary hepatic lymphoma mimicking diffuse hepatocellular carcinoma. Ann Nucl Med. 2011;25:303-307. [PMID: 21234726 DOI: 10.1007/s12149-010-0460-0] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 1.9] [Reference Citation Analysis]
15 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]
16 Liu Y, Ye Z, Sun H, Bai R. Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor. Eur Radiol 2013;23:757-65. [PMID: 22955960 DOI: 10.1007/s00330-012-2657-1] [Cited by in Crossref: 37] [Cited by in F6Publishing: 37] [Article Influence: 3.7] [Reference Citation Analysis]
17 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 2018;43:56-74. [DOI: 10.1007/s00261-017-1325-y] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 5.2] [Reference Citation Analysis]
18 Shao CC, Zhao F, Yu YF, Zhu LL, Pang GD. Value of perfusion parameters and histogram analysis of triphasic computed tomography in pre-operative prediction of histological grade of hepatocellular carcinoma. Chin Med J (Engl) 2021;134:1181-90. [PMID: 34018996 DOI: 10.1097/CM9.0000000000001446] [Reference Citation Analysis]
19 Patella F, Pesapane F, Fumarola EM, Emili I, Spairani R, Angileri SA, Tresoldi S, Franceschelli G, Carrafiello G. CT-MRI LI-RADS v2017: A Comprehensive Guide for Beginners. J Clin Transl Hepatol 2018;6:222-36. [PMID: 29951368 DOI: 10.14218/JCTH.2017.00062] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
20 Sun K, Chen X, Chai W, Fei X, Fu C, Yan X, Zhan Y, Chen K, Shen K, Yan F. Breast Cancer: Diffusion Kurtosis MR Imaging—Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors. Radiology 2015;277:46-55. [DOI: 10.1148/radiol.15141625] [Cited by in Crossref: 129] [Cited by in F6Publishing: 130] [Article Influence: 18.4] [Reference Citation Analysis]
21 Kim EH, Oh JS, Chun HJ, Choi BG, Lee HG. Usefulness of fusion images of unenhanced and contrast-enhanced arterial phase cone-beam CT in the detection of viable hepatocellular carcinoma during transarterial chemoembolization. Diagn Interv Radiol 2018;24:262-7. [PMID: 30211679 DOI: 10.5152/dir.2018.17503] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
22 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]
23 Jing M, Cao Y, Zhang P, Zhang B, Lin X, Deng L, Han T, Zhou J. The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma. Front Oncol 2021;11:719480. [PMID: 34504795 DOI: 10.3389/fonc.2021.719480] [Reference Citation Analysis]
24 Huang X, Xiao Z, Zhang Y, Lin N, Xiong M, Huang X, Chen Q, Cao D. Hepatocellular Carcinoma: Retrospective Evaluation of the Correlation Between Gadobenate Dimeglumine-Enhanced Magnetic Resonance Imaging and Pathologic Grade. J Comput Assist Tomogr 2018;42:365-72. [PMID: 29369947 DOI: 10.1097/RCT.0000000000000707] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
25 Jung DC, Lee HJ, Seo JW, Park SY, Lee SJ, Lee JH, Kim IH. Diffusion-weighted imaging of a prostate cancer xenograft model seen on a 7 Tesla animal MR scanner: comparison of ADC values and pathologic findings. Korean J Radiol 2012;13:82-9. [PMID: 22247640 DOI: 10.3348/kjr.2012.13.1.82] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 1.8] [Reference Citation Analysis]
26 Choi JY, Lee JM, Sirlin CB. CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology 2014;273:30-50. [PMID: 25247563 DOI: 10.1148/radiol.14132362] [Cited by in Crossref: 256] [Cited by in F6Publishing: 208] [Article Influence: 36.6] [Reference Citation Analysis]
27 Tsili AC, Giannakis D, Sylakos A, Ntorkou A, Astrakas LG, Sofikitis N, Argyropoulou MI. Apparent diffusion coefficient values of normal testis and variations with age. Asian J Androl 2014;16:493-7. [PMID: 24556745 DOI: 10.4103/1008-682X.122865] [Cited by in Crossref: 14] [Cited by in F6Publishing: 3] [Article Influence: 1.8] [Reference Citation Analysis]
28 Ogihara Y, Kitazume Y, Iwasa Y, Taura S, Himeno Y, Kimura T, Sawano S, Terada S, Tanabe M, Saida Y, Tateishi U. Prediction of histological grade of hepatocellular carcinoma using quantitative diffusion-weighted MRI: a retrospective multivendor study. Br J Radiol 2018;91:20170728. [PMID: 29271235 DOI: 10.1259/bjr.20170728] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
29 Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019;9:1840-90. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Cited by in Crossref: 9] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
30 Xu YS, Liu HF, Xi DL, Li JK, Liu Z, Yan RF, Lei JQ. Whole-lesion histogram analysis metrics of the apparent diffusion coefficient: a correlation study with histological grade of hepatocellular carcinoma. Abdom Radiol (NY) 2019;44:3089-98. [PMID: 31256226 DOI: 10.1007/s00261-019-02109-w] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
31 Liu Y, Ye Z, Sun H, Bai R. Clinical Application of Diffusion-Weighted Magnetic Resonance Imaging in Uterine Cervical Cancer. Int J Gynecol Cancer 2015;25:1073-8. [PMID: 25966933 DOI: 10.1097/IGC.0000000000000472] [Cited by in Crossref: 34] [Cited by in F6Publishing: 13] [Article Influence: 5.7] [Reference Citation Analysis]
32 Shankar S, Kalra N, Bhatia A, Srinivasan R, Singh P, Dhiman RK, Khandelwal N, Chawla Y. Role of Diffusion Weighted Imaging (DWI) for Hepatocellular Carcinoma (HCC) Detection and its Grading on 3T MRI: A Prospective Study. J Clin Exp Hepatol. 2016;6:303-310. [PMID: 28003720 DOI: 10.1016/j.jceh.2016.08.012] [Cited by in Crossref: 24] [Cited by in F6Publishing: 22] [Article Influence: 4.0] [Reference Citation Analysis]
33 Cai R, Ren G. Magnetic resonance imaging of rectal cancer. Shijie Huaren Xiaohua Zazhi 2017; 25(35): 3104-3108 [DOI: 10.11569/wcjd.v25.i35.3104] [Reference Citation Analysis]
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40 An C, Park MS, Jeon HM, Kim YE, Chung WS, Chung YE, Kim MJ, Kim KW. Prediction of the histopathological grade of hepatocellular carcinoma using qualitative diffusion-weighted, dynamic, and hepatobiliary phase MRI. Eur Radiol. 2012;22:1701-1708. [PMID: 22434421 DOI: 10.1007/s00330-012-2421-6] [Cited by in Crossref: 36] [Cited by in F6Publishing: 35] [Article Influence: 3.6] [Reference Citation Analysis]
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45 Wang J, Liao Q, Zhang Y, Yu C, Bai R, Sun H. Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging. Korean J Radiol 2012;13:458-66. [PMID: 22778568 DOI: 10.3348/kjr.2012.13.4.458] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.2] [Reference Citation Analysis]
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48 Heo SH, Shin SS, Kim JW, Lim HS, Jeong YY, Kang WD, Kim SM, Kang HK. Pre-treatment diffusion-weighted MR imaging for predicting tumor recurrence in uterine cervical cancer treated with concurrent chemoradiation: value of histogram analysis of apparent diffusion coefficients. Korean J Radiol. 2013;14:616-625. [PMID: 23901319 DOI: 10.3348/kjr.2013.14.4.616] [Cited by in Crossref: 50] [Cited by in F6Publishing: 47] [Article Influence: 5.6] [Reference Citation Analysis]
49 Kim HS, Kim SH, Kang TW, Song KD, Choi D, Park CK. Value of gadoxetic acid-enhanced and diffusion-weighted MR imaging in evaluation of hepatocellular carcinomas with atypical enhancement pattern on contrast-enhanced multiphasic MDCT in patients with chronic liver disease. European Journal of Radiology 2015;84:555-62. [DOI: 10.1016/j.ejrad.2014.12.023] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
50 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. [PMID: 29750794 DOI: 10.1371/journal.pone.0197070] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
51 Hwang EJ, Lee JM, Yoon JH, Kim JH, Han JK, Choi BI, Lee KB, Jang JY, Kim SW, Nickel MD. Intravoxel incoherent motion diffusion-weighted imaging of pancreatic neuroendocrine tumors: prediction of the histologic grade using pure diffusion coefficient and tumor size. Invest Radiol. 2014;49:396-402. [PMID: 24500090 DOI: 10.1097/rli.0000000000000028] [Cited by in Crossref: 32] [Cited by in F6Publishing: 17] [Article Influence: 4.6] [Reference Citation Analysis]
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