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For: Besa C, Wagner M, Lo G, Gordic S, Chatterji M, Kennedy P, Stueck A, Thung S, Babb J, Smith A, Taouli B. Detection of liver fibrosis using qualitative and quantitative MR elastography compared to liver surface nodularity measurement, gadoxetic acid uptake, and serum markers. J Magn Reson Imaging 2018;47:1552-61. [PMID: 29193508 DOI: 10.1002/jmri.25911] [Cited by in Crossref: 22] [Cited by in F6Publishing: 21] [Article Influence: 4.4] [Reference Citation Analysis]
Number Citing Articles
1 Smith AD, Porter KK, Elkassem AA, Sanyal R, Lockhart ME. Current Imaging Techniques for Noninvasive Staging of Hepatic Fibrosis. American Journal of Roentgenology 2019;213:77-89. [DOI: 10.2214/ajr.19.21144] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 3.7] [Reference Citation Analysis]
2 Heo S, Kim DW, Choi SH, Kim SW, Jang JK. Diagnostic performance of liver fibrosis assessment by quantification of liver surface nodularity on computed tomography and magnetic resonance imaging: systematic review and meta-analysis. Eur Radiol. [DOI: 10.1007/s00330-021-08436-1] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Kromrey M, Le Bihan D, Ichikawa S, Motosugi U. Diffusion-weighted MRI-based Virtual Elastography for the Assessment of Liver Fibrosis. Radiology 2020;295:127-35. [DOI: 10.1148/radiol.2020191498] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
4 Ren H, Yang D, Xu H, Pang K, Shi Y, Guan Q, Yang Z. Effect of breath holding at the end of the inspiration and expiration phases on liver stiffness measured by 2D-MR elastography. Abdom Radiol (NY) 2021;46:2516-26. [PMID: 33386913 DOI: 10.1007/s00261-020-02893-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 He L, Li H, Dudley JA, Maloney TC, Brady SL, Somasundaram E, Trout AT, Dillman JR. Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data. AJR Am J Roentgenol. 2019;213:592-601. [PMID: 31120779 DOI: 10.2214/ajr.19.21082] [Cited by in Crossref: 15] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
6 Gaba RC, Mendoza-Elias N, Regan DP, Garcia KD, Lokken RP, Schwind RM, Eichner M, Thomas FM, Rund LA, Schook LB, Schachtschneider KM. Characterization of an Inducible Alcoholic Liver Fibrosis Model for Hepatocellular Carcinoma Investigation in a Transgenic Porcine Tumorigenic Platform. J Vasc Interv Radiol 2018;29:1194-1202.e1. [PMID: 29887183 DOI: 10.1016/j.jvir.2018.03.007] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
7 Dioguardi Burgio M, Sartoris R, Beaufrere A, Grégory J, Guiu B, Guillot C, Rautou PE, Castera L, Bouattour M, Paradis V, Vilgrain V, Ronot M. Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD. Eur Radiol 2021. [PMID: 34533606 DOI: 10.1007/s00330-021-08261-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Wang XP, Wang Y, Ma H, Wang H, Yang DW, Zhao XY, Jin EH, Yang ZH. Assessment of liver fibrosis with liver and spleen magnetic resonance elastography, serum markers in chronic liver disease. Quant Imaging Med Surg 2020;10:1208-22. [PMID: 32550131 DOI: 10.21037/qims-19-849] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
9 De Vos N, Sartoris R, Cauchy F, Rautou PE, Vilgrain V, Ronot M. Performance of liver surface nodularity quantification for the diagnosis of portal hypertension in patients with cirrhosis: comparison between MRI with hepatobiliary phase sequences and CT. Abdom Radiol (NY) 2020;45:365-72. [PMID: 31797023 DOI: 10.1007/s00261-019-02355-y] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
10 Choi KJ, Jang JK, Lee SS, Sung YS, Shim WH, Kim HS, Yun J, Choi JY, Lee Y, Kang BK, Kim JH, Kim SY, Yu ES. Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver. Radiology. 2018;289:688-697. [PMID: 30179104 DOI: 10.1148/radiol.2018180763] [Cited by in Crossref: 71] [Cited by in F6Publishing: 62] [Article Influence: 17.8] [Reference Citation Analysis]
11 Idilman IS, Li J, Yin M, Venkatesh SK. MR elastography of liver: current status and future perspectives. Abdom Radiol (NY) 2020;45:3444-62. [PMID: 32705312 DOI: 10.1007/s00261-020-02656-7] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 8.0] [Reference Citation Analysis]
12 Mathew RP, Venkatesh SK. Imaging of Hepatic Fibrosis. Curr Gastroenterol Rep 2018;20. [DOI: 10.1007/s11894-018-0652-7] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 4.5] [Reference Citation Analysis]
13 Jang W, Song JS, Kim TH, Yoon KH. Intraindividual comparison of MRI-derived liver surface nodularity score at 1.5 T and 3 T. Abdom Radiol (NY) 2022;47:1053-60. [PMID: 35064351 DOI: 10.1007/s00261-022-03415-6] [Reference Citation Analysis]
14 Yang D, Li D, Li J, Yang Z, Wang Z. Systematic review: The diagnostic efficacy of gadoxetic acid-enhanced MRI for liver fibrosis staging. Eur J Radiol 2020;125:108857. [PMID: 32113153 DOI: 10.1016/j.ejrad.2020.108857] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
15 Li G, Jiang W, Li Y, Wang Q, Xiao J, Zhong R, Bai S. Description and evaluation of a new volumetric-modulated arc therapy plan complexity metric. Med Dosim 2021;46:188-94. [PMID: 33353791 DOI: 10.1016/j.meddos.2020.11.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
16 Kim TH, Jeong CW, Kim JE, Kim JW, Jo HG, Kim YR, Lee YH, Yoon KH. Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard. J Clin Med 2021;10:1697. [PMID: 33920804 DOI: 10.3390/jcm10081697] [Reference Citation Analysis]
17 Sartoris R, Lazareth M, Nivolli A, Dioguardi Burgio M, Vilgrain V, Ronot M. CT-based liver surface nodularity for the detection of clinically significant portal hypertension: defining measurement quality criteria. Abdom Radiol (NY) 2020;45:2755-63. [PMID: 32270261 DOI: 10.1007/s00261-020-02519-1] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
18 Kim TH, Kim YR, Jeong CW, Kim HJ, Kim JW, Lee YH, Yoon KH. Regional Analysis of Liver Surface Nodularity in a Single Axial MR Image for Staging Liver Fibrosis. J Magn Reson Imaging 2022. [PMID: 35543163 DOI: 10.1002/jmri.28208] [Reference Citation Analysis]
19 He Y, Yan Y, Zhang S. Quantitative liver surface nodularity score based on imaging for assessment of early cirrhosis in patients with chronic liver disease: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2021;100:e23636. [PMID: 33530167 DOI: 10.1097/MD.0000000000023636] [Reference Citation Analysis]
20 Beer L, Mandorfer M, Bastati N, Poetter-Lang S, Tamandl D, Stoyanova DP, Elmer MC, Semmler G, Simbrunner B, Hodge JC, Sirlin CB, Reiberger T, Ba-Ssalamah A. Inter- and intra-reader agreement for gadoxetic acid-enhanced MRI parameter readings in patients with chronic liver diseases. Eur Radiol 2019;29:6600-10. [PMID: 31001679 DOI: 10.1007/s00330-019-06182-z] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
21 Mesropyan N, Kupczyk P, Dold L, Weismüller TJ, Sprinkart AM, Mädler B, Pieper CC, Kuetting D, Strassburg CP, Attenberger U, Luetkens JA. Non-invasive assessment of liver fibrosis in autoimmune hepatitis: Diagnostic value of liver magnetic resonance parametric mapping including extracellular volume fraction. Abdom Radiol (NY) 2021;46:2458-66. [PMID: 33078245 DOI: 10.1007/s00261-020-02822-x] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
22 Hoodeshenas S, Yin M, Venkatesh SK. Magnetic Resonance Elastography of Liver: Current Update. Top Magn Reson Imaging. 2018;27:319-333. [PMID: 30289828 DOI: 10.1097/rmr.0000000000000177] [Cited by in Crossref: 39] [Cited by in F6Publishing: 12] [Article Influence: 13.0] [Reference Citation Analysis]
23 Kennedy P, Bane O, Hectors SJ, Fischman A, Schiano T, Lewis S, Taouli B. Noninvasive imaging assessment of portal hypertension. Abdom Radiol (NY) 2020;45:3473-95. [PMID: 32926209 DOI: 10.1007/s00261-020-02729-7] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
24 Tanabe M, Tanabe M, Furukawa M, Iida E, Okada M, Ito K. Assessment of the relationship between the hepatic contrast enhancement effect in the hepatobiliary phase and hepatic signal changes in free-breathing continuous multiphasic dynamic EOB-MRI. Eur J Radiol 2021;144:109959. [PMID: 34583170 DOI: 10.1016/j.ejrad.2021.109959] [Reference Citation Analysis]
25 Marri UK, Das P, Shalimar, Kalaivani M, Srivastava DN, Madhusudhan KS. Noninvasive Staging of Liver Fibrosis Using 5-Minute Delayed Dual-Energy CT: Comparison with US Elastography and Correlation with Histologic Findings. Radiology 2021;298:600-8. [PMID: 33399510 DOI: 10.1148/radiol.2021202232] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
26 Sato N, Kenjo A, Nishimagi A, Kimura T, Okada R, Ishigame T, Kofunato Y, Yamada S, Hashimoto Y, Marubashi S. Accuracy comparison of MR elastography and biological markers in detecting liver fibrosis and predicting postoperative ascites. HPB (Oxford) 2021:S1365-182X(21)00027-7. [PMID: 33583734 DOI: 10.1016/j.hpb.2021.01.011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Mori Y, Motosugi U, Shimizu T, Ichikawa S, Kromrey ML, Onishi H. Predicting Patients With Insufficient Liver Enhancement in the Hepatobiliary Phase Before the Injection of Gadoxetic Acid: A Practical Approach Using the Bayesian Method. J Magn Reson Imaging 2020;51:62-9. [PMID: 31016840 DOI: 10.1002/jmri.26760] [Reference Citation Analysis]