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For: França M, Alberich-Bayarri Á, Martí-Bonmatí L, Oliveira P, Costa FE, Porto G, Vizcaíno JR, Gonzalez JS, Ribeiro E, Oliveira J, Pessegueiro Miranda H. Accurate simultaneous quantification of liver steatosis and iron overload in diffuse liver diseases with MRI. Abdom Radiol (NY) 2017;42:1434-43. [PMID: 28110367 DOI: 10.1007/s00261-017-1048-0] [Cited by in Crossref: 31] [Cited by in F6Publishing: 28] [Article Influence: 6.2] [Reference Citation Analysis]
Number Citing Articles
1 Pecorelli A, Franceschi P, Braccischi L, Izzo F, Renzulli M, Golfieri R. MRI Appearance of Focal Lesions in Liver Iron Overload. Diagnostics 2022;12:891. [DOI: 10.3390/diagnostics12040891] [Reference Citation Analysis]
2 Zhao F, Chen Y, Zhang H, Li C, Long L. Multi-echo Dixon and breath-hold T2-corrected multi-echo single-voxel MRS for quantifying hepatic iron overload in rabbits. Acta Radiol 2021;:2841851211063007. [PMID: 34904894 DOI: 10.1177/02841851211063007] [Reference Citation Analysis]
3 Martí-Aguado D, Jiménez-Pastor A, Alberich-Bayarri Á, Rodríguez-Ortega A, Alfaro-Cervello C, Mestre-Alagarda C, Bauza M, Gallén-Peris A, Valero-Pérez E, Ballester MP, Gimeno-Torres M, Pérez-Girbés A, Benlloch S, Pérez-Rojas J, Puglia V, Ferrández A, Aguilera V, Escudero-García D, Serra MA, Martí-Bonmatí L. Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease. Radiology 2021;:211027. [PMID: 34783592 DOI: 10.1148/radiol.2021211027] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
4 Armstrong T, Zhong X, Shih SF, Felker E, Lu DS, Dale BM, Wu HH. Free-breathing 3D stack-of-radial MRI quantification of liver fat and R2* in adults with fatty liver disease. Magn Reson Imaging 2022;85:141-52. [PMID: 34662702 DOI: 10.1016/j.mri.2021.10.016] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 França M. Editorial for "Limits of Fat Quantification With Chemical Shift Encoded". J Magn Reson Imaging 2021;54:1175-6. [PMID: 33876877 DOI: 10.1002/jmri.27643] [Reference Citation Analysis]
6 Jimenez-Pastor A, Alberich-Bayarri A, Lopez-Gonzalez R, Marti-Aguado D, França M, Bachmann RSM, Mazzucco J, Marti-Bonmati L. Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR images. Eur Radiol 2021. [PMID: 33768292 DOI: 10.1007/s00330-021-07838-5] [Cited by in F6Publishing: 7] [Reference Citation Analysis]
7 Hsu PK, Wu LS, Yen HH, Huang HP, Chen YY, Su PY, Su WW. Attenuation Imaging with Ultrasound as a Novel Evaluation Method for Liver Steatosis. J Clin Med 2021;10:965. [PMID: 33801163 DOI: 10.3390/jcm10050965] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
8 França M, Carvalho JG. MR imaging assessment and quantification of liver iron. Abdom Radiol (NY) 2020;45:3400-12. [PMID: 32435848 DOI: 10.1007/s00261-020-02574-8] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
9 Marti-Aguado D, Rodríguez-Ortega A, Alberich-Bayarri A, Marti-Bonmati L. Magnetic Resonance imaging analysis of liver fibrosis and inflammation: overwhelming gray zones restrict clinical use. Abdom Radiol (NY) 2020;45:3557-68. [PMID: 32857259 DOI: 10.1007/s00261-020-02713-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
10 Martí-Aguado D, Alberich-Bayarri Á, Martín-Rodríguez JL, França M, García-Castro F, González-Cantero J, González-Cantero Á, Martí-Bonmatí L. Differences in multi-echo chemical shift encoded MRI proton density fat fraction estimation based on multifrequency fat peaks selection in non-alcoholic fatty liver disease patients. Clin Radiol 2020;75:880.e5-880.e12. [PMID: 32888653 DOI: 10.1016/j.crad.2020.07.031] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Vieira J, Amorim J, Martí-bonmatí L, Alberich-bayarri Á, França M. Quantifying steatosis in the liver and pancreas with MRI in patient with chronic liver disease. Radiología (English Edition) 2020;62:222-8. [DOI: 10.1016/j.rxeng.2019.11.008] [Reference Citation Analysis]
12 Cunha GM, Thai TT, Hamilton G, Covarrubias Y, Schlein A, Middleton MS, Wiens CN, McMillan A, Agni R, Funk LM, Campos GM, Horgan S, Jacobson G, Wolfson T, Gamst A, Schwimmer JB, Reeder SB, Sirlin CB. Accuracy of common proton density fat fraction thresholds for magnitude- and complex-based chemical shift-encoded MRI for assessing hepatic steatosis in patients with obesity. Abdom Radiol (NY) 2020;45:661-71. [PMID: 31781899 DOI: 10.1007/s00261-019-02350-3] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
13 Vieira J, Amorim J, Martí-Bonmatí L, Alberich-Bayarri Á, França M. Quantifying steatosis in the liver and pancreas with MRI in patient with chronic liver disease. Radiologia (Engl Ed) 2020;62:222-8. [PMID: 31932016 DOI: 10.1016/j.rx.2019.11.007] [Reference Citation Analysis]
14 Martin-rodriguez J, Gonzalez-cantero J, Gonzalez-cantero A, Martí-bonmatí L, Alberich-bayarri Á, Gonzalez-cejudo T, Gonzalez-calvin J. Insulin resistance and NAFLD: Relationship with intrahepatic iron and serum TNF-α using 1H MR spectroscopy and MRI. Diabetes & Metabolism 2019;45:473-9. [DOI: 10.1016/j.diabet.2019.01.005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
15 Zhan C, Olsen S, Zhang HC, Kannengiesser S, Chandarana H, Shanbhogue KP. Detection of hepatic steatosis and iron content at 3 Tesla: comparison of two-point Dixon, quantitative multi-echo Dixon, and MR spectroscopy. Abdom Radiol (NY) 2019;44:3040-8. [PMID: 31286208 DOI: 10.1007/s00261-019-02118-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
16 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: 6] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
17 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: 10] [Cited by in F6Publishing: 14] [Article Influence: 3.3] [Reference Citation Analysis]
18 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: 10] [Cited by in F6Publishing: 15] [Article Influence: 3.3] [Reference Citation Analysis]
19 Hayashi T, Fukuzawa K, Yamazaki H, Konno T, Miyati T, Kotoku J, Oba H, Kondo H, Toyoda K, Saitoh S. Multicenter, multivendor phantom study to validate proton density fat fraction and T2* values calculated using vendor-provided 6-point DIXON methods. Clinical Imaging 2018;51:38-42. [DOI: 10.1016/j.clinimag.2018.01.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
20 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: 62] [Article Influence: 11.0] [Reference Citation Analysis]
21 Hui SCN, So HK, Chan DFY, Wong SKH, Yeung DKW, Ng EKW, Chu WCW. Validation of water-fat MRI and proton MRS in assessment of hepatic fat and the heterogeneous distribution of hepatic fat and iron in subjects with non-alcoholic fatty liver disease. Eur J Radiol 2018;107:7-13. [PMID: 30292275 DOI: 10.1016/j.ejrad.2018.08.008] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
22 Kudo M, Gotohda N, Sugimoto M, Kobayashi T, Kojima M, Takahashi S, Konishi M, Hayashi R. Evaluation of liver function using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid enhanced magnetic resonance imaging based on a three-dimensional volumetric analysis system. Hepatol Int 2018;12:368-76. [PMID: 29860678 DOI: 10.1007/s12072-018-9874-x] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
23 Lin H, Fu C, Kannengiesser S, Cheng S, Shen J, Dong H, Yan F. Quantitative analysis of hepatic iron in patients suspected of coexisting iron overload and steatosis using multi-echo single-voxel magnetic resonance spectroscopy: Comparison with fat-saturated multi-echo gradient echo sequence. J Magn Reson Imaging. 2018;48:205-213. [PMID: 29513377 DOI: 10.1002/jmri.25967] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
24 Lin H, Wei H, He N, Fu C, Cheng S, Shen J, Wang B, Yan X, Liu C, Yan F. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification. Eur Radiol 2018;28:3494-504. [PMID: 29470640 DOI: 10.1007/s00330-017-5263-4] [Cited by in Crossref: 17] [Cited by in F6Publishing: 20] [Article Influence: 4.3] [Reference Citation Analysis]
25 Alústiza Echeverría J, Barrera Portillo M, Guisasola Iñiguiz A, Ugarte Muño A. Diagnosis and quantification of the iron overload through magnetic resonance. Radiología (English Edition) 2017;59:487-95. [DOI: 10.1016/j.rxeng.2017.10.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
26 França M, Martí-Bonmatí L, Silva S, Oliveira C, Alberich Bayarri Á, Vilas Boas F, Pessegueiro-Miranda H, Porto G. Optimizing the management of hereditary haemochromatosis: the value of MRI R2* quantification to predict and monitor body iron stores. Br J Haematol 2018;183:491-3. [PMID: 29082508 DOI: 10.1111/bjh.14982] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
27 França M, Martí-Bonmatí L, Porto G, Silva S, Guimarães S, Alberich-Bayarri Á, Vizcaíno JR, Pessegueiro Miranda H. Tissue iron quantification in chronic liver diseases using MRI shows a relationship between iron accumulation in liver, spleen, and bone marrow. Clin Radiol 2018;73:215.e1-9. [PMID: 28863932 DOI: 10.1016/j.crad.2017.07.022] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
28 Donato H, França M, Candelária I, Caseiro-Alves F. Liver MRI: From basic protocol to advanced techniques. Eur J Radiol 2017;93:30-9. [PMID: 28668428 DOI: 10.1016/j.ejrad.2017.05.028] [Cited by in Crossref: 31] [Cited by in F6Publishing: 47] [Article Influence: 6.2] [Reference Citation Analysis]