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Cited by in CrossRef
For: Elfaal M, Supersad A, Ferguson C, Locas S, Manolea F, Wilson MP, Sam M, Tu W, Low G. Two-point Dixon and six-point Dixon magnetic resonance techniques in the detection, quantification and grading of hepatic steatosis. World J Radiol 2023; 15(10): 293-303 [PMID: 37969136 DOI: 10.4329/wjr.v15.i10.293]
URL: https://www.wjgnet.com/1949-8470/full/v15/i10/293.htm
Number Citing Articles
1
Weiling Zhang, Yan Lin, Liqing Su, Wenjun Li, Qiaojuan Guo, Yunbin Chen, Youping Xiao. Quantitative evaluation of the fatty fraction of lumbar vertebral bone marrow by the 3-point water-fat separation technology of IDEAL-IQ: A preliminary study on healthy adult volunteersMedicine 2026; 105(3): e47196 doi: 10.1097/MD.0000000000047196
2
Beata Brzeska, Agnieszka Sabisz, Oliwia Kozak, Edyta Szurowska, Joanna Pieńkowska. Comparison of MR Spectroscopy, 2-Point Dixon, and Multi-Echo T2* Sequences in Assessing Hepatic Fat Fraction Across a Diverse Range of Body Mass Index (BMI) and Waist Circumference Ratio (WCR) ValuesDiabetes, Metabolic Syndrome and Obesity 2025; : 601 doi: 10.2147/DMSO.S481062
3
Yan-Ci Zhao, Min Wang, Shuzhen Wu, Yuanyuan Bao, Zeyan Wu, Shengze Jin, Yang Cao, Yanyan Zhu, Junhan Pan, Huizhen Huang, Shuhan Liu, Wuyue Chen, Wenbin Ji, Xiaoli Mai, Feng Chen. Spatial characterization of intrahepatic fat deposition across steatotic liver disease subcategories: a multicenter studyBMC Medicine 2026;  doi: 10.1186/s12916-026-04706-1
4
Mitchell P. Wilson, An Tang, Gavin Low, Li Xin Zhang, Andreu F. Costa, Emily Pang, Silvia Chang, Alexandra Medellin, Abdel-Aziz Shaheen, Jérémy Dana, Noam Millo, Ania Kielar, Mark Swain, Victoria Leung, Daisy Fung, Casey Hurrell, Christopher Fung. Part 1: CAR Metabolic Dysfunction-Associated Steatotic Liver Disease Working Group Guidance Statements for Detecting and Grading Hepatic Steatosis Using Ultrasound, CT, or MRICanadian Association of Radiologists Journal 2026; 77(1): 58 doi: 10.1177/08465371251357444
5
Stephan Rau, Anna Fink, Ralph Strecker, Marcel Dominik Nickel, Lea Jigme Michel, Vlad Sacalean, Kai Falko Kästingschäfer, David Klemm, Alexander Rau, Fabian Bamberg, Jakob Weiss, Maximilian Frederik Russe. Reliability of Whole-Liver Liver-Fat-Quantification Between Deep Learning–Accelerated and Standard Volumetric Interpolated Breath-hold Examination Dixon Sequences in a Prospective Oncology CohortInvestigative Radiology 2025;  doi: 10.1097/RLI.0000000000001242
6
Hye-Won Lee, Ji-Yun Lee, Joo-Young Lee, Seung-Man Yu, Kija Lee, Sang-Kwon Lee. Use of two-point and six-point Dixon MRI for fat fraction analysis in the lumbar vertebral bodies and paraspinal muscles in healthy dogs: comparison with magnetic resonance spectroscopyFrontiers in Veterinary Science 2024; 11 doi: 10.3389/fvets.2024.1412552
7
Gavin Low, Ryan K. W. Chee, Yu Jun Wong, Puneeta Tandon, Florin Manolea, Stephanie Locas, Craig Ferguson, Wendy Tu, Mitchell P. Wilson. Abbreviated Multiparametric MR Solution (the “Liver Triple Screen”), the Future of Non-Invasive MR Quantification of Liver Fat, Iron, and FibrosisDiagnostics 2024; 14(21): 2373 doi: 10.3390/diagnostics14212373