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For: Leporq B, Lambert S, Ronot M, Vilgrain V, Van Beers B. Simultaneous MR quantification of hepatic fat content, fatty acid composition, transverse relaxation time and magnetic susceptibility for the diagnosis of non-alcoholic steatohepatitis. NMR in Biomedicine 2017;30:e3766. [DOI: 10.1002/nbm.3766] [Cited by in Crossref: 18] [Cited by in F6Publishing: 14] [Article Influence: 3.6] [Reference Citation Analysis]
Number Citing Articles
1 Van Reeth E, Lefebvre PM, Ratiney H, Lambert SA, Tesch M, Brusseau E, Grenier D, Beuf O, Glaser SJ, Sugny D, Tse-ve-koon K. Constant gradient elastography with optimal control RF pulses. Journal of Magnetic Resonance 2018;294:153-61. [DOI: 10.1016/j.jmr.2018.07.013] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
2 Trinh L, Stenkula KG, Olsson LE, Svensson J, Peterson P, Bennet L, Månsson S. Favorable fatty acid composition in adipose tissue in healthy Iraqi- compared to Swedish-born men - a pilot study using MRI assessment. Adipocyte 2022;11:153-63. [PMID: 35291924 DOI: 10.1080/21623945.2022.2042963] [Reference Citation Analysis]
3 Besutti G, Valenti L, Ligabue G, Bassi MC, Pattacini P, Guaraldi G, Giorgi Rossi P. Accuracy of imaging methods for steatohepatitis diagnosis in non‐alcoholic fatty liver disease patients: A systematic review. Liver Int 2019;39:1521-34. [DOI: 10.1111/liv.14118] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 4.7] [Reference Citation Analysis]
4 Imajo K, Honda Y, Yoneda M, Saito S, Nakajima A. Magnetic resonance imaging for the assessment of pathological hepatic findings in nonalcoholic fatty liver disease. J Med Ultrason (2001) 2020;47:535-48. [PMID: 33108553 DOI: 10.1007/s10396-020-01059-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Willis SA, Bawden SJ, Malaikah S, Sargeant JA, Stensel DJ, Aithal GP, King JA. The role of hepatic lipid composition in obesity-related metabolic disease. Liver Int 2021. [PMID: 34547171 DOI: 10.1111/liv.15059] [Reference Citation Analysis]
6 Peterson P, Trinh L, Månsson S. Quantitative 1 H MRI and MRS of fatty acid composition. Magn Reson Med 2021;85:49-67. [PMID: 32844500 DOI: 10.1002/mrm.28471] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
7 Martel D, Honig S, Monga A, Chang G. Analysis of muscle, hip, and subcutaneous fat in osteoporosis patients with varying degrees of fracture risk using 3T Chemical Shift Encoded MRI. Bone Rep 2020;12:100259. [PMID: 32322608 DOI: 10.1016/j.bonr.2020.100259] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Simchick G, Yin A, Yin H, Zhao Q. Fat spectral modeling on triglyceride composition quantification using chemical shift encoded magnetic resonance imaging. Magn Reson Imaging 2018;52:84-93. [PMID: 29928937 DOI: 10.1016/j.mri.2018.06.012] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
9 Martel D, Leporq B, Saxena A, Belmont HM, Turyan G, Honig S, Regatte RR, Chang G. 3T chemical shift-encoded MRI: Detection of altered proximal femur marrow adipose tissue composition in glucocorticoid users and validation with magnetic resonance spectroscopy. J Magn Reson Imaging 2019;50:490-6. [PMID: 30548522 DOI: 10.1002/jmri.26586] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
10 Fang H, Berg E, Cheng X, Shen W. How to best assess abdominal obesity. Curr Opin Clin Nutr Metab Care 2018;21:360-5. [PMID: 29916924 DOI: 10.1097/MCO.0000000000000485] [Cited by in Crossref: 65] [Cited by in F6Publishing: 36] [Article Influence: 21.7] [Reference Citation Analysis]
11 Trinh L, Peterson P, Leander P, Brorson H, Månsson S. In vivo comparison of MRI‐based and MRS‐based quantification of adipose tissue fatty acid composition against gas chromatography. Magn Reson Med 2020;84:2484-94. [DOI: 10.1002/mrm.28300] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 McKay A, Wilman HR, Dennis A, Kelly M, Gyngell ML, Neubauer S, Bell JD, Banerjee R, Thomas EL. Measurement of liver iron by magnetic resonance imaging in the UK Biobank population. PLoS One 2018;13:e0209340. [PMID: 30576354 DOI: 10.1371/journal.pone.0209340] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
13 Nemeth A, Segrestin B, Leporq B, Coum A, Gambarota G, Seyssel K, Laville M, Beuf O, Ratiney H. Comparison of MRI-derived vs. traditional estimations of fatty acid composition from MR spectroscopy signals. NMR in Biomedicine 2018;31:e3991. [DOI: 10.1002/nbm.3991] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
14 Shrestha U, van der Merwe M, Kumar N, Jacobs E, Satapathy SK, Morin C, Tipirneni-Sajja A. Morphological characterization of hepatic steatosis and Monte Carlo modeling of MRI signal for accurate quantification of fat fraction and relaxivity. NMR Biomed 2021;34:e4489. [PMID: 33586261 DOI: 10.1002/nbm.4489] [Reference Citation Analysis]
15 Schneider M, Janas G, Lugauer F, Hoppe E, Nickel D, Dale BM, Kiefer B, Maier A, Bashir MR. Accurate fatty acid composition estimation of adipose tissue in the abdomen based on bipolar multi‐echo MRI. Magn Reson Med 2018;81:2330-46. [DOI: 10.1002/mrm.27557] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
16 Hu HH, Branca RT, Hernando D, Karampinos DC, Machann J, McKenzie CA, Wu HH, Yokoo T, Velan SS. Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop. Magn Reson Med 2020;83:1565-76. [PMID: 31782551 DOI: 10.1002/mrm.28103] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
17 Bas J, Ogier AC, Le Troter A, Delmont E, Leporq B, Pini L, Guye M, Parlanti A, Lefebvre MN, Bendahan D, Attarian S. Fat fraction distribution in lower limb muscles of patients with CMT1A: A quantitative MRI study. Neurology 2020;94:e1480-7. [PMID: 31980579 DOI: 10.1212/WNL.0000000000009013] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]