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For: Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2017;45:1276-1295. [PMID: 27981751 DOI: 10.1002/jmri.25550] [Cited by in Crossref: 89] [Cited by in F6Publishing: 78] [Article Influence: 14.8] [Reference Citation Analysis]
Number Citing Articles
1 Xie S, Zhang Y, Chen J, Jiang T, Liu W, Rong D, Sun L, Zhang L, He B, Wang J. Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10-19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI? Abdom Radiol (NY) 2021. [PMID: 34773467 DOI: 10.1007/s00261-021-03339-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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3 Schawkat K, Ciritsis A, von Ulmenstein S, Honcharova-Biletska H, Jüngst C, Weber A, Gubler C, Mertens J, Reiner CS. Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology. Eur Radiol 2020;30:4675-85. [PMID: 32270315 DOI: 10.1007/s00330-020-06831-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
4 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]
5 Zhang H, Shi X, Wang L, Zeng Y, Kang X, Huang L. Performance of noninvasive tools for identification of minimal liver fibrosis in patients with hepatitis B virus infection. J Clin Lab Anal 2021;35:e23960. [PMID: 34403524 DOI: 10.1002/jcla.23960] [Reference Citation Analysis]
6 Vernuccio F, Cannella R, Bartolotta TV, Galia M, Tang A, Brancatelli G. Advances in liver US, CT, and MRI: moving toward the future. Eur Radiol Exp 2021;5:52. [PMID: 34873633 DOI: 10.1186/s41747-021-00250-0] [Reference Citation Analysis]
7 Chen J, Kuang S, Zhang Y, Tang W, Xie S, Zhang L, Rong D, He B, Deng Y, Xiao Y, Shi W, Fowler K, Wang J, Sirlin CB. Increasing the sensitivity of LI-RADS v2018 for diagnosis of small (10-19 mm) HCC on extracellular contrast-enhanced MRI. Abdom Radiol (NY) 2021;46:1530-42. [PMID: 33040166 DOI: 10.1007/s00261-020-02790-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Weber F, Casalini T, Valentino G, Brülisauer L, Andreas N, Koeberle A, Kamradt T, Contini A, Luciani P. Targeting transdifferentiated hepatic stellate cells and monitoring the hepatic fibrogenic process by means of IGF2R-specific peptides designed in silico. J Mater Chem B 2021;9:2092-106. [PMID: 33595041 DOI: 10.1039/d0tb02372h] [Reference Citation Analysis]
9 Li J, Sehrawat TS, Chen J, Hilscher MB, Glaser KJ, Arab JP, De Assuncao TM, Simonetto DA, Mounajjed T, Manduca A, Ehman RL, Shah VH, Yin M. Quantitative assessment of portal hypertension with bi-parametric dual-frequency hepatic MR elastography in mouse models. Eur Radiol 2021;31:2303-11. [PMID: 33026502 DOI: 10.1007/s00330-020-07341-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Moon CM, Shin SS, Heo SH, Lim HS, Moon MJ, Surendran SP, Kim GE, Park IW, Jeong YY. Metabolic Changes in Different Stages of Liver Fibrosis: In vivo Hyperpolarized 13C MR Spectroscopy and Metabolic Imaging. Mol Imaging Biol 2019;21:842-51. [PMID: 30693432 DOI: 10.1007/s11307-019-01322-9] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
11 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]
12 Wang MH, Chien CY, Yu HM, Wang PY, Lin WJ. Use of 111In-Hexavalent Lactoside for Liver Reserve Estimation in Rodents with Thioacetamide-Induced Hepatic Fibrosis. Mol Pharm 2018;15:4417-25. [PMID: 30102864 DOI: 10.1021/acs.molpharmaceut.8b00326] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
13 Song X, Wang S, Zhao C, Zhang W, Wang G, Jia S. Visual method for evaluating liver function: targeted in vivo fluorescence imaging of the asialoglycoprotein receptor. Biomed Opt Express 2019;10:5015-24. [PMID: 31646026 DOI: 10.1364/BOE.10.005015] [Reference Citation Analysis]
14 Pollack BL, Batmanghelich K, Cai SS, Gordon E, Wallace S, Catania R, Morillo-Hernandez C, Furlan A, Borhani AA. Deep Learning Prediction of Voxel-Level Liver Stiffness in Patients with Nonalcoholic Fatty Liver Disease. Radiol Artif Intell 2021;3:e200274. [PMID: 34870213 DOI: 10.1148/ryai.2021200274] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Budjan J, Schoenberg SO, Attenberger UI. CT und MRT der Leber: wann, was, warum? Radiologe 2017;57:366-72. [DOI: 10.1007/s00117-017-0232-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
16 Hu F, Yang R, Huang Z, Wang M, Yuan F, Xia C, Wei Y, Song B. 3D Multi-Echo Dixon technique for simultaneous assessment of liver steatosis and iron overload in patients with chronic liver diseases: a feasibility study. Quant Imaging Med Surg. 2019;9:1014-1024. [PMID: 31367555 DOI: 10.21037/qims.2019.05.20] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
17 Xu H, Hong S, Yan Z, Zhao Q, Shi Y, Song N, Xie J, Jiang X. RAP-8 ameliorates liver fibrosis by modulating cell cycle and oxidative stress. Life Sciences 2019;229:200-9. [DOI: 10.1016/j.lfs.2019.04.037] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
18 Tee JK, Peng F, Ho HK. Effects of inorganic nanoparticles on liver fibrosis: Optimizing a double-edged sword for therapeutics. Biochem Pharmacol 2019;160:24-33. [PMID: 30529191 DOI: 10.1016/j.bcp.2018.12.003] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
19 Li J, Liu H, Zhang C, Yang S, Wang Y, Chen W, Li X, Wang D. Native T1 mapping compared to ultrasound elastography for staging and monitoring liver fibrosis: an animal study of repeatability, reproducibility, and accuracy. Eur Radiol 2020;30:337-45. [PMID: 31338650 DOI: 10.1007/s00330-019-06335-0] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 5.3] [Reference Citation Analysis]
20 Xiao BH, Huang H, Wang LF, Qiu SW, Guo SW, Wáng YXJ. Diffusion MRI Derived per Area Vessel Density as a Surrogate Biomarker for Detecting Viral Hepatitis B-Induced Liver Fibrosis: A Proof-of-Concept Study. SLAS Technol 2020;25:474-83. [PMID: 32292088 DOI: 10.1177/2472630320915838] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
21 Huang R, Gao ZH, Tang A, Sebastiani G, Deschenes M. Transient elastography is an unreliable marker of liver fibrosis in patients with portal vein thrombosis. Hepatology 2018;68:783-5. [PMID: 29572884 DOI: 10.1002/hep.29893] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
22 Zou L, Jiang J, Zhang H, Zhong W, Xiao M, Xin S, Wang Y, Xing W. Comparing and combining MRE, T1ρ, SWI, IVIM, and DCE-MRI for the staging of liver fibrosis in rabbits: Assessment of a predictive model based on multiparametric MRI. Magn Reson Med 2021. [PMID: 34931716 DOI: 10.1002/mrm.29126] [Reference Citation Analysis]
23 Zhang X, Zhu X, Ferguson CM, Jiang K, Burningham T, Lerman A, Lerman LO. Magnetic resonance elastography can monitor changes in medullary stiffness in response to treatment in the swine ischemic kidney. MAGMA 2018;31:375-82. [PMID: 29289980 DOI: 10.1007/s10334-017-0671-7] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.4] [Reference Citation Analysis]
24 Tian F, Liu Y, Gao J, Yang N, Shang X, Lv J, Ba D, Zhou X, Zhang C, Ma X. Study on the association between TGF-β1 and liver fibrosis in patients with hepatic cystic echinococcosis. Exp Ther Med 2020;19:1275-80. [PMID: 32010299 DOI: 10.3892/etm.2019.8355] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
25 Fischer A, Martirosian P, Benkert T, Schick F. Spatially resolved free-induction decay spectroscopy using a 3D ultra-short echo time multi-echo imaging sequence with systematic echo shifting and compensation of B0 field drifts. Magn Reson Med 2021. [PMID: 34866240 DOI: 10.1002/mrm.29115] [Reference Citation Analysis]
26 Cannella R, Borhani AA, Tublin M, Behari J, Furlan A. Diagnostic value of MR-based texture analysis for the assessment of hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Abdom Radiol (NY) 2019;44:1816-24. [PMID: 30788556 DOI: 10.1007/s00261-019-01931-6] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]
27 Park JH, Seo N, Chung YE, Kim SU, Park YN, Choi JY, Park MS, Kim MJ. Noninvasive evaluation of liver fibrosis: comparison of the stretched exponential diffusion-weighted model to other diffusion-weighted MRI models and transient elastography. Eur Radiol 2021;31:4813-23. [PMID: 33439321 DOI: 10.1007/s00330-020-07600-3] [Reference Citation Analysis]
28 Wei A, Zhao F, Hao A, Liu B, Liu Z. N-acetyl-seryl-aspartyl-lysyl-proline (AcSDKP) mitigates the liver fibrosis via WTAP/m6A/Ptch1 axis through Hedgehog pathway. Gene 2021;813:146125. [PMID: 34921949 DOI: 10.1016/j.gene.2021.146125] [Reference Citation Analysis]
29 Xie Y, Zhang H, Jin C, Wang X, Wang X, Chen J, Xu Y. Gd-EOB-DTPA-enhanced T1ρ imaging vs diffusion metrics for assessment liver inflammation and early stage fibrosis of nonalcoholic steatohepatitis in rabbits. Magnetic Resonance Imaging 2018;48:34-41. [DOI: 10.1016/j.mri.2017.12.017] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 2.3] [Reference Citation Analysis]
30 Nanashima A, Komi M, Mavar M, Ferreira C, O'Donoghue P, Goldfinger M, Langford C, Imamura N. A 3D Quantitative MRC Modeling Images Detected Case of Intrahepatic Biliary Stricture Diseases. Case Rep Gastroenterol 2021;15:680-8. [PMID: 34594166 DOI: 10.1159/000518020] [Reference Citation Analysis]
31 Akkaya HE, Erden A, Kuru Öz D, Ünal S, Erden İ. Magnetic resonance elastography: basic principles, technique, and clinical applications in the liver. Diagn Interv Radiol 2018;24:328-35. [PMID: 30272563 DOI: 10.5152/dir.2018.18186] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
32 Tirkes T, Lin C, Cui E, Deng Y, Territo PR, Sandrasegaran K, Akisik F. Quantitative MR Evaluation of Chronic Pancreatitis: Extracellular Volume Fraction and MR Relaxometry. AJR Am J Roentgenol 2018;210:533-42. [PMID: 29336598 DOI: 10.2214/AJR.17.18606] [Cited by in Crossref: 31] [Cited by in F6Publishing: 16] [Article Influence: 7.8] [Reference Citation Analysis]
33 Wang Q, Xiao H, Yu X, Lin H, Yang B, Zhang Y, Feng D, Yan F, Wang H. R1ρ at high spin-lock frequency could be a complementary imaging biomarker for liver iron overload quantification. Magn Reson Imaging 2021;75:141-8. [PMID: 33129937 DOI: 10.1016/j.mri.2020.10.014] [Reference Citation Analysis]
34 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]
35 Lin E, Zou B, Zeng G, Cai C, Li P, Chen J, Li D, Zhang B, Li J. The impact of liver fibrosis on microvascular invasion and prognosis of hepatocellular carcinoma with a solitary nodule: a Surveillance, Epidemiology, and End Results (SEER) database analysis. Ann Transl Med 2021;9:1310. [PMID: 34532447 DOI: 10.21037/atm-21-3731] [Reference Citation Analysis]
36 Joshi M, Dillman JR, Singh K, Serai SD, Towbin AJ, Xanthakos S, Zhang B, Su W, Trout AT. Quantitative MRI of fatty liver disease in a large pediatric cohort: correlation between liver fat fraction, stiffness, volume, and patient-specific factors. Abdom Radiol 2018;43:1168-79. [DOI: 10.1007/s00261-017-1289-y] [Cited by in Crossref: 21] [Cited by in F6Publishing: 15] [Article Influence: 4.2] [Reference Citation Analysis]
37 Bruce M, Kolokythas O, Ferraioli G, Filice C, O'Donnell M. Limitations and artifacts in shear-wave elastography of the liver. Biomed Eng Lett 2017;7:81-9. [PMID: 30603154 DOI: 10.1007/s13534-017-0028-1] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 2.4] [Reference Citation Analysis]
38 Park HS, Choe WH, Han HS, Yu MH, Kim YJ, Jung SI, Kim JH, Kwon SY. Assessing significant fibrosis using imaging-based elastography in chronic hepatitis B patients: Pilot study. World J Gastroenterol 2019; 25(25): 3256-3267 [PMID: 31333316 DOI: 10.3748/wjg.v25.i25.3256] [Cited by in CrossRef: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
39 Cannella R, Dasyam N, Seo SH, Furlan A, Borhani AA. Performance of morphologic criteria for the diagnosis of cirrhosis in patients with non-alcoholic steatohepatitis compared to other etiologies of chronic liver disease: effect of level of training and experience. Abdom Radiol (NY) 2021;46:960-8. [PMID: 32902660 DOI: 10.1007/s00261-020-02719-9] [Reference Citation Analysis]
40 Flé G, Gilbert G, Grasland-Mongrain P, Cloutier G. Lorentz force induced shear waves for magnetic resonance elastography applications. Sci Rep 2021;11:12785. [PMID: 34140568 DOI: 10.1038/s41598-021-91895-9] [Reference Citation Analysis]
41 Pan S, Wang XQ, Guo QY. Quantitative assessment of hepatic fibrosis in chronic hepatitis B and C: T1 mapping on Gd-EOB-DTPA-enhanced liver magnetic resonance imaging. World J Gastroenterol 2018; 24(18): 2024-2035 [PMID: 29760545 DOI: 10.3748/wjg.v24.i18.2024] [Cited by in CrossRef: 16] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
42 Wei H, Decker K, Nguyen H, Cao S, Tsai TY, Dianne Guy C, Bashir M, Liu C. Imaging diamagnetic susceptibility of collagen in hepatic fibrosis using susceptibility tensor imaging. Magn Reson Med 2020;83:1322-30. [PMID: 31633237 DOI: 10.1002/mrm.27995] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
43 Ghadimi M, Habibabadi RR, Hazhirkarzar B, Shaghaghi M, Ameli S, Khoshpouri P, Ghasabeh MA, Gurakar A, Pawlik TM, Kamel IR. Advances in Imaging of Diffuse Parenchymal Liver Disease. J Clin Gastroenterol 2020;54:682-95. [PMID: 32554990 DOI: 10.1097/MCG.0000000000001380] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
44 Huang H, Che-Nordin N, Wang LF, Xiao BH, Chevallier O, Yun YX, Guo SW, Wáng YXJ. High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis. Ann Transl Med 2019;7:39. [PMID: 30906743 DOI: 10.21037/atm.2018.12.33] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 3.7] [Reference Citation Analysis]
45 Li C, Li R, Zhang W. Progress in non-invasive detection of liver fibrosis. Cancer Biol Med 2018;15:124-36. [PMID: 29951337 DOI: 10.20892/j.issn.2095-3941.2018.0018] [Cited by in Crossref: 31] [Cited by in F6Publishing: 30] [Article Influence: 7.8] [Reference Citation Analysis]
46 Lee CZ, Peng SS, Lee CS, Chen HL, Ni YH, Chang MH, Wu JF. Transient elastography correlated with diffusion-weighted magnetic resonance imaging and cholestatic complications. J Formos Med Assoc 2019;118:1522-7. [PMID: 30621960 DOI: 10.1016/j.jfma.2018.12.018] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
47 Su W, Tai Y, Tang SH, Ye YT, Zhao C, Gao JH, Tuo BG, Tang CW. Celecoxib attenuates hepatocyte apoptosis by inhibiting endoplasmic reticulum stress in thioacetamide-induced cirrhotic rats. World J Gastroenterol 2020; 26(28): 4094-4107 [PMID: 32821072 DOI: 10.3748/wjg.v26.i28.4094] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
48 Pasanta D, Htun KT, Pan J, Tungjai M, Kaewjaeng S, Kim H, Kaewkhao J, Kothan S. Magnetic Resonance Spectroscopy of Hepatic Fat from Fundamental to Clinical Applications. Diagnostics (Basel) 2021;11:842. [PMID: 34067193 DOI: 10.3390/diagnostics11050842] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
49 Hiroyama S, Rokugawa T, Ito M, Iimori H, Morita I, Maeda H, Fujisawa K, Matsunaga K, Shimosegawa E, Abe K. Quantitative evaluation of hepatic integrin αvβ3 expression by positron emission tomography imaging using 18F-FPP-RGD2 in rats with non-alcoholic steatohepatitis. EJNMMI Res 2020;10:118. [PMID: 33026561 DOI: 10.1186/s13550-020-00704-3] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
50 Lubner MG, Jones D, Said A, Kloke J, Lee S, Pickhardt PJ. Accuracy of liver surface nodularity quantification on MDCT for staging hepatic fibrosis in patients with hepatitis C virus. Abdom Radiol (NY) 2018;43:2980-6. [PMID: 29572714 DOI: 10.1007/s00261-018-1572-6] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
51 Ricard-blum S, Baffet G, Théret N. Molecular and tissue alterations of collagens in fibrosis. Matrix Biology 2018;68-69:122-49. [DOI: 10.1016/j.matbio.2018.02.004] [Cited by in Crossref: 57] [Cited by in F6Publishing: 52] [Article Influence: 14.3] [Reference Citation Analysis]
52 Besheer T, Elalfy H, Abd El-Maksoud M, Abd El-Razek A, Taman S, Zalata K, Elkashef W, Zaghloul H, Elshahawy H, Raafat D, Elemshaty W, Elsayed E, El-Gilany AH, El-Bendary M. Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus. World J Gastroenterol 2019; 25(11): 1366-1377 [PMID: 30918429 DOI: 10.3748/wjg.v25.i11.1366] [Cited by in CrossRef: 21] [Cited by in F6Publishing: 19] [Article Influence: 7.0] [Reference Citation Analysis]
53 Labranche R, Gilbert G, Cerny M, Vu KN, Soulières D, Olivié D, Billiard JS, Yokoo T, Tang A. Liver Iron Quantification with MR Imaging: A Primer for Radiologists. Radiographics 2018;38:392-412. [PMID: 29528818 DOI: 10.1148/rg.2018170079] [Cited by in Crossref: 44] [Cited by in F6Publishing: 34] [Article Influence: 11.0] [Reference Citation Analysis]
54 Zhang YN, Fowler KJ, Ozturk A, Potu CK, Louie AL, Montes V, Henderson WC, Wang K, Andre MP, Samir AE, Sirlin CB. Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography. J Magn Reson Imaging 2020;51:25-42. [PMID: 30859677 DOI: 10.1002/jmri.26716] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
55 Xu XY, Wang WS, Zhang QM, Li JL, Sun JB, Qin TT, Liu HB. Performance of common imaging techniques vs serum biomarkers in assessing fibrosis in patients with chronic hepatitis B: A systematic review and meta-analysis. World J Clin Cases 2019; 7(15): 2022-2037 [PMID: 31423434 DOI: 10.12998/wjcc.v7.i15.2022] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 11] [Article Influence: 4.3] [Reference Citation Analysis]
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57 Ahn JH, Yu JS, Park KS, Kang SH, Huh JH, Chang JS, Lee JH, Kim MY, Nickel MD, Kannengiesser S, Kim JY, Koh SB. Effect of hepatic steatosis on native T1 mapping of 3T magnetic resonance imaging in the assessment of T1 values for patients with non-alcoholic fatty liver disease. Magn Reson Imaging 2021;80:1-8. [PMID: 33798658 DOI: 10.1016/j.mri.2021.03.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
58 Morita K, Nishie A, Ushijima Y, Takayama Y, Fujita N, Kubo Y, Ishimatsu K, Yoshizumi T, Maehara J, Ishigami K. Noninvasive assessment of liver fibrosis by dual-layer spectral detector CT. Eur J Radiol 2021;136:109575. [PMID: 33548853 DOI: 10.1016/j.ejrad.2021.109575] [Reference Citation Analysis]
59 Kim JW, Kim HB, Hur YH, Choi BK, Katoch N, Park JA, Kim HJ, Woo EJ. MR-Based Electrical Conductivity Imaging of Liver Fibrosis in an Experimental Rat Model. J Magn Reson Imaging 2021;53:554-63. [PMID: 32614131 DOI: 10.1002/jmri.27275] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
60 Qu Z, Yang S, Xing F, Tong R, Yang C, Guo R, Huang J, Lu F, Fu C, Yan X, Hectors S, Gillen K, Wang Y, Liu C, Zhan S, Li J. Magnetic resonance quantitative susceptibility mapping in the evaluation of hepatic fibrosis in chronic liver disease: a feasibility study. Quant Imaging Med Surg 2021;11:1170-83. [PMID: 33816158 DOI: 10.21037/qims-20-720] [Reference Citation Analysis]
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63 Li J, Lin H, Liu T, Zhang Z, Prince MR, Gillen K, Yan X, Song Q, Hua T, Zhao X, Zhang M, Zhao Y, Li G, Tang G, Yang G, Brittenham GM, Wang Y. Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration. J Magn Reson Imaging 2018;48:1069-79. [PMID: 29566449 DOI: 10.1002/jmri.26019] [Cited by in Crossref: 25] [Cited by in F6Publishing: 20] [Article Influence: 6.3] [Reference Citation Analysis]
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