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Cited by in CrossRef
For: Zhao YZ, Gan YG, Zhou JL, Liu JQ, Cao WG, Cheng SM, Bai DM, Wang MZ, Gao FQ, Zhou SM. Accuracy of multi-echo Dixon sequence in quantification of hepatic steatosis in Chinese children and adolescents. World J Gastroenterol 2019; 25(12): 1513-1523 [PMID: 30948914 DOI: 10.3748/wjg.v25.i12.1513]
URL: https://www.wjgnet.com/1007-9327/full/v25/i12/1513.htm
Number Citing Articles
1
Shan Yao, Yi Wei, Zheng Ye, Jie Chen, Ting Duan, Zhen Zhang, Bin Song. Hepatic Steatosis Has No Effect in Diagnosis Accuracy of LI‐RADS v2018 Categorization of Hepatocellular Carcinoma in MR ImagingJournal of Magnetic Resonance Imaging 2024; 59(6): 2060 doi: 10.1002/jmri.27783
2
Jianli Zhou, Qiao Zhang, Yuzhen Zhao, Yu Zou, Moxian Chen, Shaoming Zhou, Zhaoxia Wang. The relationship of Megamonas species with nonalcoholic fatty liver disease in children and adolescents revealed by metagenomics of gut microbiotaScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-25140-2
3
Dulshan Jayasekera, Phillipp Hartmann. Noninvasive biomarkers in pediatric nonalcoholic fatty liver diseaseWorld Journal of Hepatology 2023; 15(5): 609-640 doi: 10.4254/wjh.v15.i5.609
4
Ki Choon Sim, Min Ju Kim, Yongwon Cho, Hyun Jin Kim, Beom Jin Park, Deuk Jae Sung, Na Yeon Han, Yeo Eun Han, Tae Hyung Kim, Yoo Jin Lee. Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver DiseaseJournal of Korean Medical Science 2022; 37(49) doi: 10.3346/jkms.2022.37.e339
5
Akarshi Gupta, Rashmi Dixit, Anjali Prakash. Non-invasive hepatic fat quantification: Can multi-echo Dixon help?Radiologia Brasileira 2024; 57 doi: 10.1590/0100-3984.2023.0125
6
Yuzhen Zhao, Jianli Zhou, Jiaqi Liu, Zhaoxia Wang, Moxian Chen, Shaoming Zhou. Metagenome of Gut Microbiota of Children With Nonalcoholic Fatty Liver DiseaseFrontiers in Pediatrics 2019; 7 doi: 10.3389/fped.2019.00518
7
Santosh B. Patil, Seetharaman Cannane, Santhosh Poyyamoli, Rinoy R. Anand, Venkatesh Kasi. Role of Advanced MRI Techniques in the Quantitative Assessment of Liver Fat—A Multimodality-Based Comparative Study of Diagnostic Performance in a Tertiary Care InstituteJournal of Gastrointestinal and Abdominal Radiology 2022; 5(01): 023 doi: 10.1055/s-0041-1731964
8
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
9
Lisa Ruby, Ahmet Kunut, Dominik N. Nakhostin, Florian A. Huber, Tim Finkenstaedt, Thomas Frauenfelder, Sergio J. Sanabria, Marga B. Rominger. Speed of sound ultrasound: comparison with proton density fat fraction assessed with Dixon MRI for fat content quantification of the lower extremityEuropean Radiology 2020; 30(10): 5272 doi: 10.1007/s00330-020-06885-8
10
Pei Su, Jian-Gang Chen, Dong-Hui Tang. Exercise against nonalcoholic fatty liver disease: Possible role and mechanism of lipophagyLife Sciences 2023; 327: 121837 doi: 10.1016/j.lfs.2023.121837
11
Shuangzhen Jia, Jianli Zhou, Qiao Zhang, Shaoming Zhou, Zhaoxia Wang, Xiaolin Ye, Jie Wu. Clinical research of fibroscan ‒ TE-CAP at noninvasive diagnosis of hepatic steatosis in childrenClinics 2024; 79: 100387 doi: 10.1016/j.clinsp.2024.100387
12
M. Zhou, H. Huang, Y. Fan, M. Chen, M. Li, Y. Wang. The application of quantitative perfusion analysis of golden-angle radial sparse parallel MRI and R2∗ value for predicting pathological prognostic factors in rectal cancerClinical Radiology 2024; 79(2): 124 doi: 10.1016/j.crad.2023.10.027
13
Bien Van Tran, Kouichi Ujita, Ayako Taketomi-Takahashi, Hiromi Hirasawa, Takayuki Suto, Yoshito Tsushima, Xi Chen. Reliability of ultrasound hepatorenal index and magnetic resonance imaging proton density fat fraction techniques in the diagnosis of hepatic steatosis, with magnetic resonance spectroscopy as the reference standardPLOS ONE 2021; 16(8): e0255768 doi: 10.1371/journal.pone.0255768
14
Guang-Zi Shi, Hong Chen, Wei-Ke Zeng, Ming Gao, Meng-Zhu Wang, Hui-Ting Zhang, Jun Shen. R2* value derived from multi-echo Dixon technique can aid discrimination between benign and malignant focal liver lesionsWorld Journal of Gastroenterology 2021; 27(12): 1182-1193 doi: 10.3748/wjg.v27.i12.1182
15
Farid Hajibonabi, Puneet Sharma, Amir H. Davarpanah, Patricia Balthazar, Courtney C. Moreno, Melina Pectasides, Sadhna B. Nandwana. Performing Quality Control on Magnetic Resonance Imaging Liver Fat/Iron Quantification Studies: A Critical RequirementJournal of Computer Assisted Tomography 2023; 47(5): 689 doi: 10.1097/RCT.0000000000001471
16
Mayur Virarkar, Janio Szklaruk, Corey T. Jensen, Melissa W. Taggart, Priya Bhosale. What's New in Hepatic SteatosisSeminars in Ultrasound, CT and MRI 2021; 42(4): 405 doi: 10.1053/j.sult.2021.03.001
17
Hong Chen, Wei-Ke Zeng, Guang-Zi Shi, Ming Gao, Meng-Zhu Wang, Jun Shen. Liver fat accumulation measured by high-speed T2-corrected multi-echo magnetic resonance spectroscopy can predict risk of cholelithiasisWorld Journal of Gastroenterology 2020; 26(33): 4996-5007 doi: 10.3748/wjg.v26.i33.4996
18
Maryam Ghadimi, Roya Rezvani Habibabadi, Bita Hazhirkarzar, Mohammadreza Shaghaghi, Sanaz Ameli, Pegah Khoshpouri, Mounes Aliyari Ghasabeh, Ahmet Gurakar, Timothy M. Pawlik, Ihab R. Kamel. Advances in Imaging of Diffuse Parenchymal Liver DiseaseJournal of Clinical Gastroenterology 2020; 54(8): 682 doi: 10.1097/MCG.0000000000001380
19
Véronique Fortier, Ahmed Mohamed, Evan McNabb, Jérémy Dana, Rita Zakarian, Ives R. Levesque, Caroline Reinhold. R2* Impact on Hepatic Fat Quantification With a Commercial Single Voxel Technique at 1.5 and 3.0 TCanadian Association of Radiologists Journal 2024; 75(4): 838 doi: 10.1177/08465371241255896
20
Valentina Brancato, Giuseppe Della Pepa, Lutgarda Bozzetto, Marilena Vitale, Giovanni Annuzzi, Luca Basso, Carlo Cavaliere, Marco Salvatore, Angela Albarosa Rivellese, Serena Monti. Evaluation of a Whole-Liver Dixon-Based MRI Approach for Quantification of Liver Fat in Patients with Type 2 Diabetes Treated with Two Isocaloric Different DietsDiagnostics 2022; 12(2): 514 doi: 10.3390/diagnostics12020514
21
Ying Yang, Kuanghui Xu, Xiaofei Chen, Jianping Ding, Junping Shi, Jie Li. The Accuracy and Clinical Relevance of the Multi-echo Dixon Technique for Evaluating Changes to Hepatic Steatosis in Patients with Non-alcoholic Fatty Liver Disease Treated with Formulated FoodMagnetic Resonance in Medical Sciences 2023; 22(2): 263 doi: 10.2463/mrms.mp.2021-0168
22
Sigrid Berg, Naseh Amini, Stian Solberg, Rønnaug Astri Ødegård, Bård Eirik Kulseng, Reidar Fossmark, Sébastien Muller, Simon Nitter Dankel, Rolf K. Berge, Elin Rønne, Patricia Mjønes, Rune Hansen. Ex Vivo Demonstration of a Novel Dual-Frequency Ultrasound Method for Quantitative Measurements of Liver Fat ContentUltrasound in Medicine & Biology 2025; 51(1): 159 doi: 10.1016/j.ultrasmedbio.2024.09.019
23
Gavin Low, Craig Ferguson, Stephanie Locas, Wendy Tu, Florin Manolea, Medica Sam, Mitchell P. Wilson. Multiparametric MR assessment of liver fat, iron, and fibrosis: a concise overview of the liver “Triple Screen”Abdominal Radiology 2023; 48(6): 2060 doi: 10.1007/s00261-023-03887-0
24
Kenneth Cusi, Scott Isaacs, Diana Barb, Rita Basu, Sonia Caprio, W. Timothy Garvey, Sangeeta Kashyap, Jeffrey I. Mechanick, Marialena Mouzaki, Karl Nadolsky, Mary E. Rinella, Miriam B. Vos, Zobair Younossi. American Association of Clinical Endocrinology Clinical Practice Guideline for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Primary Care and Endocrinology Clinical SettingsEndocrine Practice 2022; 28(5): 528 doi: 10.1016/j.eprac.2022.03.010
25
Shuangzhen Jia, Yuzhen Zhao, Jiaqi Liu, Xu Guo, Moxian Chen, Shaoming Zhou, Jianli Zhou. Magnetic Resonance Imaging-Proton Density Fat Fraction vs. Transient Elastography-Controlled Attenuation Parameter in Diagnosing Non-alcoholic Fatty Liver Disease in Children and Adolescents: A Meta-Analysis of Diagnostic AccuracyFrontiers in Pediatrics 2022; 9 doi: 10.3389/fped.2021.784221