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For: Karlsson M, Ekstedt M, Dahlström N, Forsgren MF, Ignatova S, Norén B, Dahlqvist Leinhard O, Kechagias S, Lundberg P. Liver R2* is affected by both iron and fat: A dual biopsy-validated study of chronic liver disease. J Magn Reson Imaging 2019;50:325-33. [PMID: 30637926 DOI: 10.1002/jmri.26601] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
Number Citing Articles
1 Gao M, Wang J, Jiang L, Pan X, Canavese F, Li Y, Wang W, Zhou Z, Zhu W. Magnetic resonance imaging R2* sequences can better detect microstructural cartilage changes than T2 mapping in cynomolgus monkeys with limited knee kinematics: preliminary imaging findings. BMC Musculoskelet Disord 2022;23. [DOI: 10.1186/s12891-022-05817-5] [Reference Citation Analysis]
2 Edin C, Ekstedt M, Scheffel T, Karlsson M, Swahn E, Östgren CJ, Engvall J, Ebbers T, Leinhard OD, Lundberg P, Carlhäll C. Ectopic fat is associated with cardiac remodeling—A comprehensive assessment of regional fat depots in type 2 diabetes using multi-parametric MRI. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.813427] [Reference Citation Analysis]
3 Maier L, von Krüchten R, Lorbeer R, Filler J, Nattenmüller J, Thorand B, Koenig W, Rathmann W, Bamberg F, Schlett CL, Peters A, Rospleszcz S. Distribution and Associated Factors of Hepatic Iron-A Population-Based Imaging Study. Metabolites 2021;11:871. [PMID: 34940629 DOI: 10.3390/metabo11120871] [Reference Citation Analysis]
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5 Simchick G, Zhao R, Hamilton G, Reeder SB, Hernando D. Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T. Magn Reson Med 2022;87:597-613. [PMID: 34554595 DOI: 10.1002/mrm.29021] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
6 Rohani SC, Morin CE, Zhong X, Kannengiesser S, Shrestha U, Goode C, Holtrop J, Khan A, Loeffler RB, Hankins JS, Hillenbrand CM, Tipirneni-Sajja A. Hepatic Iron Quantification Using a Free-Breathing 3D Radial Gradient Echo Technique and Validation With a 2D Biopsy-Calibrated R2 * Relaxometry Method. J Magn Reson Imaging 2021. [PMID: 34545639 DOI: 10.1002/jmri.27921] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Healy GM, Kannengiesser SAR, Espin-Garcia O, Ward R, Kuo KHM, Jhaveri KS. Comparison of Inline R2* MRI versus FerriScan for liver iron quantification in patients on chelation therapy for iron overload: preliminary results. Eur Radiol 2021. [PMID: 34041571 DOI: 10.1007/s00330-021-08019-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 Nasr P, Ignatova S, Lundberg P, Kechagias S, Ekstedt M. Low hepatic manganese concentrations in patients with hepatic steatosis - A cohort study of copper, iron and manganese in liver biopsies. J Trace Elem Med Biol 2021;67:126772. [PMID: 34000573 DOI: 10.1016/j.jtemb.2021.126772] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Moura Cunha G, Navin PJ, Fowler KJ, Venkatesh SK, Ehman RL, Sirlin CB. Quantitative magnetic resonance imaging for chronic liver disease. Br J Radiol 2021;94:20201377. [PMID: 33635729 DOI: 10.1259/bjr.20201377] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
10 Thomaides-Brears HB, Lepe R, Banerjee R, Duncker C. Multiparametric MR mapping in clinical decision-making for diffuse liver disease. Abdom Radiol (NY) 2020;45:3507-22. [PMID: 32761254 DOI: 10.1007/s00261-020-02684-3] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 7.0] [Reference Citation Analysis]
11 Chen H, Zeng WK, Shi GZ, Gao M, Wang MZ, Shen J. Liver fat accumulation measured by high-speed T2-corrected multi-echo magnetic resonance spectroscopy can predict risk of cholelithiasis. World J Gastroenterol 2020; 26(33): 4996-5007 [PMID: 32952345 DOI: 10.3748/wjg.v26.i33.4996] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Zhao R, Hamilton G, Brittain JH, Reeder SB, Hernando D. Design and evaluation of quantitative MRI phantoms to mimic the simultaneous presence of fat, iron, and fibrosis in the liver. Magn Reson Med 2021;85:734-47. [PMID: 32783200 DOI: 10.1002/mrm.28452] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
13 Bane O, Mendichovszky IA, Milani B, Dekkers IA, Deux JF, Eckerbom P, Grenier N, Hall ME, Inoue T, Laustsen C, Lerman LO, Liu C, Morrell G, Pedersen M, Pruijm M, Sadowski EA, Seeliger E, Sharma K, Thoeny H, Vermathen P, Wang ZJ, Serafin Z, Zhang JL, Francis ST, Sourbron S, Pohlmann A, Fain SB, Prasad PV. Consensus-based technical recommendations for clinical translation of renal BOLD MRI. MAGMA 2020;33:199-215. [PMID: 31768797 DOI: 10.1007/s10334-019-00802-x] [Cited by in Crossref: 21] [Cited by in F6Publishing: 1] [Article Influence: 7.0] [Reference Citation Analysis]
14 Bane O, Mendichovszky IA, Milani B, Dekkers IA, Deux JF, Eckerbom P, Grenier N, Hall ME, Inoue T, Laustsen C, Lerman LO, Liu C, Morrell G, Pedersen M, Pruijm M, Sadowski EA, Seeliger E, Sharma K, Thoeny H, Vermathen P, Wang ZJ, Serafin Z, Zhang JL, Francis ST, Sourbron S, Pohlmann A, Fain SB, Prasad PV. Consensus-based technical recommendations for clinical translation of renal BOLD MRI. MAGMA 2020;33:199-215. [PMID: 31768797 DOI: 10.1007/s10334-019-00802-x] [Cited by in Crossref: 29] [Cited by in F6Publishing: 21] [Article Influence: 9.7] [Reference Citation Analysis]
15 Hong CW, Hamilton G, Hooker C, Park CC, Tran CA, Henderson WC, Hooker JC, Fazeli Dehkordy S, Schwimmer JB, Reeder SB, Sirlin CB. Measurement of spleen fat on MRI-proton density fat fraction arises from reconstruction of noise. Abdom Radiol (NY) 2019;44:3295-303. [PMID: 31172210 DOI: 10.1007/s00261-019-02079-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
16 Uhrig M, Mueller J, Longerich T, Straub BK, Buschle LR, Schlemmer HP, Mueller S, Ziener CH. Susceptibility based multiparametric quantification of liver disease: Non-invasive evaluation of steatosis and iron overload. Magn Reson Imaging. 2019;63:114-122. [PMID: 31425813 DOI: 10.1016/j.mri.2019.08.016] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
17 Obmann VC, Marx C, Berzigotti A, Mertineit N, Hrycyk J, Gräni C, Ebner L, Ith M, Heverhagen JT, Christe A, Huber AT. Liver MRI susceptibility-weighted imaging (SWI) compared to T2* mapping in the presence of steatosis and fibrosis. Eur J Radiol 2019;118:66-74. [PMID: 31439261 DOI: 10.1016/j.ejrad.2019.07.001] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 3.7] [Reference Citation Analysis]