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Cited by in CrossRef
For: Pan S, Wang XQ, Guo QY. Quantitative assessment of hepatic fibrosis in chronic hepatitis B and C: T1 mapping on Gd-EOB-DTPA-enhanced liver magnetic resonance imaging. World J Gastroenterol 2018; 24(18): 2024-2035 [PMID: 29760545 DOI: 10.3748/wjg.v24.i18.2024]
URL: https://www.wjgnet.com/1007-9327/full/v24/i18/2024.htm
Number Citing Articles
1
Boyang Ma, Hui Xu, Xinru Wu, Wenyan Zhu, Xinjun Han, Jiahui Jiang, Yuxin Wang, Dawei Yang, Hao Ren, Zhenghan Yang. Evaluation of liver function using Gd-EOB-DTPA-enhanced MRI with T1 mappingBMC Medical Imaging 2023; 23(1) doi: 10.1186/s12880-023-01028-z
2
Simona Picchia, Martina Pezzullo, Maria Antonietta Bali, Septian Hartono, Choon Hua Thng, Dow-Mu Koh. Imaging of the Liver and Intra-hepatic Biliary TractMedical Radiology 2021; : 395 doi: 10.1007/978-3-030-39021-1_17
3
Yanhan Xiang, Ningqin Li, Zhongyang Zhou, Jing Fang, Jinyuan Liao. Gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced T1 mapping to evaluate liver damage caused by Clonorchis sinensisRadiology of Infectious Diseases 2021; 8(3): 108 doi: 10.4103/RID.RID_26_21
4
Gregor Körzdörfer, Rainer Kirsch, Kecheng Liu, Josef Pfeuffer, Bernhard Hensel, Yun Jiang, Dan Ma, Marcel Gratz, Peter Bär, Wolfgang Bogner, Elisabeth Springer, Pedro Lima Cardoso, Lale Umutlu, Siegfried Trattnig, Mark Griswold, Vikas Gulani, Mathias Nittka. Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human BrainRadiology 2019; 292(2): 429 doi: 10.1148/radiol.2019182360
5
Qing Wang, HaiFeng Liu, ZuHui Zhu, Ye Sheng, YaNan Du, YuFeng Li, JianHong Liu, JiLei Zhang, Wei Xing. Feasibility of T1 mapping with histogram analysis for the diagnosis and staging of liver fibrosis: Preclinical resultsMagnetic Resonance Imaging 2021; 76: 79 doi: 10.1016/j.mri.2020.11.006
6
Xue Pang, Shang Gao, Tao Liu, Feng Xia Xu, Chang Fan, Jia Fu Zhang, Hui Jiang. Identification of STAT3 as a biomarker for cellular senescence in liver fibrosis: A bioinformatics and experimental validation studyGenomics 2024; 116(2): 110800 doi: 10.1016/j.ygeno.2024.110800
7
Neriman ZENGİN FISTIKÇIOĞLU, Nagihan İNAN GÜRCAN, Mesude TOSUN, Hande USLU. Comparison of the Efficiency of Conventional Diffusion, Diffusion Tensor Imaging, and Dynamic Susceptibility Contrast-Enhanced Magnetic Resonance Perfusion Imaging in the Evaluation of Liver FibrosisKocaeli Üniversitesi Sağlık Bilimleri Dergisi 2021; 7(3): 250 doi: 10.30934/kusbed.936876
8
Byeong Hak Sim, Suk Hee Heo, Sang Soo Shin, Seong Beom Cho, Yong Yeon Jeong. Quantitative Evaluation of Liver Fibrosis on T1 Relaxometry in Comparison with FibroscanJournal of the Korean Society of Radiology 2020; 81(2): 365 doi: 10.3348/jksr.2020.81.2.365
9
Enming Cui, Qing Li, Juanhua Wu, Yingjie Mei, Juan Yu, Wansheng Long, Zhuoyong Li, Yong Lan, Fan Lin. Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluationAbdominal Radiology 2020; 45(11): 3681 doi: 10.1007/s00261-020-02520-8
10
Jiao Liu, Qingtao Li, Nannan Shi, Yi Chen, Yesheng Li, Meng Zhang, Yangqing Huang. Preliminary clinical study of the safety of hepatectomy predicted by gadolinium‐ethoxybenzyl‐diethylenetriamine pentaacetic acid‐enhanced T1 mapping magnetic resonance imagingJGH Open 2021; 5(3): 382 doi: 10.1002/jgh3.12507
11
Hanns C. Breit, Kai T. Block, David J. Winkel, Julian E. Gehweiler, Maurice J. Henkel, Thomas Weikert, Bram Stieltjes, Daniel T. Boll, Tobias J. Heye. Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors?European Journal of Radiology 2021; 141: 109789 doi: 10.1016/j.ejrad.2021.109789
12
Patrick J. Navin, Sudhakar K. Venkatesh. Hepatocellular Carcinoma: State of the Art Imaging and Recent AdvancesJournal of Clinical and Translational Hepatology 2019; 7(1): 1 doi: 10.14218/JCTH.2018.00032
13
Shen Pan, Lu Wang, Jun Xin. Combining 18F-FDG PET and Gd-EOB-DTPA-enhanced MRI for staging liver fibrosisLife Sciences 2021; 269: 119086 doi: 10.1016/j.lfs.2021.119086
14
Verena Carola Obmann, Damiano Catucci, Annalisa Berzigotti, Christoph Gräni, Lukas Ebner, Johannes Thomas Heverhagen, Andreas Christe, Adrian Thomas Huber. T1 reduction rate with Gd-EOB-DTPA determines liver function on both 1.5 T and 3 T MRIScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-08659-2
15
Claudia Fellner, Marcel Dominik Nickel, Stephan Kannengiesser, Niklas Verloh, Christian Stroszczynski, Michael Haimerl, Lukas Luerken. Water–Fat Separated T1 Mapping in the Liver and Correlation to Hepatic Fat FractionDiagnostics 2023; 13(2): 201 doi: 10.3390/diagnostics13020201
16
Qing Wang, Ye Sheng, YaNan Du, HaiFeng Liu, ZuHui Zhu, YuFeng Li, JiLei Zhang, Wei Xing. Gd-EOB-DTPA T1 Mapping with Extracellular Volume Fraction in Staging Liver Fibrosis: A Preclinical InvestigationApplied Magnetic Resonance 2021; 52(6): 677 doi: 10.1007/s00723-021-01337-y
17
Fulin Lu, Liang Du, Wei Chen, Hai Jiang, Chenwu Yang, Yu Pu, Jun Wu, Jiang Zhu, Tianwu Chen, Xiaoming Zhang, Changqiang Wu. T 1–T2 dual-modal magnetic resonance contrast-enhanced imaging for rat liver fibrosis stageRSC Advances 2022; 12(55): 35809 doi: 10.1039/D2RA05913D
18
Emre Altinmakas, Octavia Bane, Stefanie J. Hectors, Rayane Issa, Guillermo Carbonell, Ghadi Abboud, Thomas D. Schiano, Swan Thung, Aaron Fischman, Matthew D. Kelly, Scott L. Friedman, Paul Kennedy, Bachir Taouli. Performance of native and gadoxetate-enhanced liver and spleen T1 mapping for noninvasive diagnosis of clinically significant portal hypertension: preliminary resultsAbdominal Radiology 2022; 47(11): 3758 doi: 10.1007/s00261-022-03645-8
19
Xin-Jun Bi, Xue-Qin Zhang, Tao Zhang, Lei Xu, Ai-Na Huang, Mao-Tong Liu, Ji-Feng Jiang, Wei-Bo Chen. Quantitative assessment of liver function with hepatocyte fraction: Comparison with T1 relaxation‐based indicesEuropean Journal of Radiology 2021; 141: 109779 doi: 10.1016/j.ejrad.2021.109779
20
Xing Wen, Xu Feng, Yao Kang, Long Xu. Application Progress of Gd-EOB-DTPA-Enhanced MRI T1 Mapping in Hepatic Diffuse DiseasesCurrent Medical Imaging Reviews 2022; 18(12): 1276 doi: 10.2174/1573405617666211130153450
21
Dawei Yang, Dan Li, Jinshui Li, Zhenghan Yang, Zhenchang Wang. Systematic review: The diagnostic efficacy of gadoxetic acid-enhanced MRI for liver fibrosis stagingEuropean Journal of Radiology 2020; 125: 108857 doi: 10.1016/j.ejrad.2020.108857
22
Armin Ghavamian, Cuihong Liu, Bing Kang, Xianshun Yuan, Ximing Wang, Ling Gao, Xinya Zhao. Liver T1 relaxation time of the ‘normal liver’ in healthy Asians: measurement with MOLLI and B1-corrected VFA methods at 3TThe British Journal of Radiology 2022; 95(1133) doi: 10.1259/bjr.20211008
23
Lu-Yao Lai, Meng-Ping Huang, Song Su, Jian Shu. Liver Fibrosis Staging with Gadolinium Ethoxybenzyl Diethylenetriamine Penta-Acetic Acid-enhanced: A Systematic Review and Meta-analysisCurrent Medical Imaging Formerly Current Medical Imaging Reviews 2021; 17(7): 854 doi: 10.2174/1573405616666201130101229
24
Masato Yoshikawa, Kohsuke Kudo, Taisuke Harada, Kazutaka Harashima, Jun Suzuki, Koji Ogawa, Taro Fujiwara, Mutsumi Nishida, Ryota Sato, Toru Shirai, Yoshitaka Bito. Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary ResultsMagnetic Resonance in Medical Sciences 2022; 21(4): 609 doi: 10.2463/mrms.mp.2020-0175
25
Ting Duan, Han-Yu Jiang, Wen-Wu Ling, Bin Song. Noninvasive imaging of hepatic dysfunction: A state-of-the-art reviewWorld Journal of Gastroenterology 2022; 28(16): 1625-1640 doi: 10.3748/wjg.v28.i16.1625
26
Wenpeng Huang, Yushuo Peng, Lei Kang. Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and futureVIEW 2024; 5(4) doi: 10.1002/VIW.20240010
27
David H. Hoffman, Abimbola Ayoola, Dominik Nickel, Fei Han, Hersh Chandarana, Krishna Prasad Shanbhogue. T1 mapping, T2 mapping and MR elastography of the liver for detection and staging of liver fibrosisAbdominal Radiology 2020; 45(3): 692 doi: 10.1007/s00261-019-02382-9
28
Won Hyeong Im, Ji Soo Song, Weon Jang. Noninvasive staging of liver fibrosis: review of current quantitative CT and MRI-based techniquesAbdominal Radiology 2021; 47(9): 3051 doi: 10.1007/s00261-021-03181-x