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Cited by in CrossRef
For: Imajo K, Tetlow L, Dennis A, Shumbayawonda E, Mouchti S, Kendall TJ, Fryer E, Yamanaka S, Honda Y, Kessoku T, Ogawa Y, Yoneda M, Saito S, Kelly C, Kelly MD, Banerjee R, Nakajima A. Quantitative multiparametric magnetic resonance imaging can aid non-alcoholic steatohepatitis diagnosis in a Japanese cohort. World J Gastroenterol 2021; 27(7): 609-623 [PMID: 33642832 DOI: 10.3748/wjg.v27.i7.609]
URL: https://www.wjgnet.com/1007-9327/full/v27/i7/609.htm
Number Citing Articles
1
Anna Di Bartolomeo, Jacob George. Metabolic Steatotic Liver Disease2024; : 297 doi: 10.1016/B978-0-323-99649-5.00016-9
2
T. Waddell, A. Namburete, P. Duckworth, A. Fichera, A. Telford, H. Thomaides-Brears, D. J. Cuthbertson, M. Brady. Poor glycaemic control and ectopic fat deposition mediates the increased risk of non-alcoholic steatohepatitis in high-risk populations with type 2 diabetes: Insights from Bayesian-network modellingFrontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1063882
3
Alexandru Popa, Felix Bende, Roxana Șirli, Alina Popescu, Victor Bâldea, Raluca Lupușoru, Radu Cotrău, Renata Fofiu, Camelia Foncea, Ioan Sporea. Quantification of Liver Fibrosis, Steatosis, and Viscosity Using Multiparametric Ultrasound in Patients with Non-Alcoholic Liver Disease: A “Real-Life” Cohort StudyDiagnostics 2021; 11(5): 783 doi: 10.3390/diagnostics11050783
4
Franziska Lobig, Dhinagar Subramanian, Michael Blankenburg, Ankur Sharma, Archana Variyar, Oisin Butler. To pay or not to pay for artificial intelligence applications in radiologynpj Digital Medicine 2023; 6(1) doi: 10.1038/s41746-023-00861-4
5
Fernando Bril. Chronic Complications of Diabetes Mellitus2024; : 185 doi: 10.1016/B978-0-323-88426-6.00017-8
6
Hong Chang Tan, Elizabeth Shumbayawonda, Cayden Beyer, Lionel Tim-Ee Cheng, Albert Low, Chin Hong Lim, Alvin Eng, Weng Hoong Chan, Phong Ching Lee, Mei Fang Tay, Stella Kin, Jason Pik Eu Chang, Yong Mong Bee, George Boon Bee Goh, Jun Zhao. Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Elastography to Evaluate the Early Effects of Bariatric Surgery on Nonalcoholic Fatty Liver DiseaseInternational Journal of Biomedical Imaging 2023; 2023: 1 doi: 10.1155/2023/4228321
7
Rebecca Bresnahan, Rui Duarte, James Mahon, Sophie Beale, Marty Chaplin, Devarshi Bhattacharyya, Rachel Houten, Katherine Edwards, Sarah Nevitt, Michelle Maden, Angela Boland. Diagnostic accuracy and clinical impact of MRI-based technologies for patients with non-alcoholic fatty liver disease: systematic review and economic evaluation Health Technology Assessment 2023; : 1 doi: 10.3310/KGJU3398
8
Osama Alzoubi, Ahmad Arar, Viraj Singh, Sukru M. Erturk, Ferenc Mozes, Michael Pavlides. MRI in liver cirrhosisPortal Hypertension & Cirrhosis 2022; 1(1): 23 doi: 10.1002/poh2.6
9
James Neuberger, Owen Cain. The Need for Alternatives to Liver Biopsies: Non-Invasive Analytics and DiagnosticsHepatic Medicine: Evidence and Research 2021; : 59 doi: 10.2147/HMER.S278076
10
Kento Imajo, Hidenori Toyoda, Satoshi Yasuda, Yasuaki Suzuki, Katsutoshi Sugimoto, Hidekatsu Kuroda, Tomoyuki Akita, Junko Tanaka, Yutaka Yasui, Nobuharu Tamaki, Masayuki Kurosaki, Namiki Izumi, Atsushi Nakajima, Takashi Kumada. Utility of Ultrasound-Guided Attenuation Parameter for Grading Steatosis With Reference to MRI-PDFF in a Large CohortClinical Gastroenterology and Hepatology 2022; 20(11): 2533 doi: 10.1016/j.cgh.2021.11.003
11
Naim Alkhouri, Mukesh Harisinghani. Letter to the Editor: Comparing quantitative MRI technologies in steatotic liver diseaseHepatology 2024; 79(4): E119 doi: 10.1097/HEP.0000000000000676
12
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
13
Consolato M. Sergi. NAFLD (MASLD)/NASH (MASH): Does It Bother to Label at All? A Comprehensive Narrative ReviewInternational Journal of Molecular Sciences 2024; 25(15): 8462 doi: 10.3390/ijms25158462
14
Jennifer Cathcart, Rachael Barrett, James S. Bowness, Ashis Mukhopadhya, Ruairi Lynch, John F. Dillon. Accuracy of Non‐Invasive Imaging Techniques for the Diagnosis of MASH in Patients With MASLD: A Systematic ReviewLiver International 2024;  doi: 10.1111/liv.16127
15
Daisuke Morimoto-Ishikawa. 18. Quantitative Magnetic Resonance Imaging Technique in Abdomen: Current Status and Future ProspectsJapanese Journal of Radiological Technology 2023; 79(7): 719 doi: 10.6009/jjrt.2023-2224
16
Carolina Rio Bartulos, Thomas J. Vogl, Philipp Wiggermann. Neue MRT-Verfahren zur NASH-DiagnostikGastro-News 2023; 10(6): 46 doi: 10.1007/s15036-023-3332-x
17
Jiahui Li, Alina M. Allen, Meng Yin. Reply: Comparing quantitative MRI technologies in steatotic liver diseaseHepatology 2024; 79(4): E121 doi: 10.1097/HEP.0000000000000677
18
Kamil Janowski, Elizabeth Shumbayawonda, Lin Cheng, Caitlin Langford, Andrea Dennis, Matt Kelly, Maciej Pronicki, Wieslawa Grajkowska, Malgorzata Wozniak, Piotr Pawliszak, Sylwia Chełstowska, Elzbieta Jurkiewicz, Rajarshi Banerjee, Piotr Socha. Quantitative multiparametric MRI as a non-invasive stratification tool in children and adolescents with autoimmune liver diseaseScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-94754-9
19
Kamil Janowski, Elizabeth Shumbayawonda, Matt Kelly, Carlos Ferreira, Maciej Pronicki, Wieslawa Grajkowska, Magdalena Naorniakowska, Piotr Pawliszak, Sylwia Chełstowska, Elżbieta Jurkiewicz, Rajarshi Banerjee, Piotr Socha. Quantitative MR in Paediatric Patients with Wilson Disease: A Case Series ReviewChildren 2022; 9(5): 613 doi: 10.3390/children9050613
20
Marcelo Kugelmas, Mazen Noureddin, Nadege Gunn, Kimberly Brown, Zobair Younossi, Manal Abdelmalek, Naim Alkhouri. The use of current knowledge and non‐invasive testing modalities for predicting at‐risk non‐alcoholic steatohepatitis and assessing fibrosisLiver International 2023; 43(5): 964 doi: 10.1111/liv.15555
21
Benito de Celis Alonso, Elizabeth Shumbayawonda, Cayden Beyer, Silvia Hidalgo-Tobon, Briseida López-Martínez, Pilar Dies-Suarez, Miguel Klunder-Klunder, América Liliana Miranda-Lora, Eduardo Barragán Pérez, Helena Thomaides-Brears, Rajarshi Banerjee, E. Louise Thomas, Jimmy D. Bell, Po-Wah So. Liver magnetic resonance imaging, non-alcoholic fatty liver disease and metabolic syndrome risk in pre-pubertal Mexican boysScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-77307-8
22
Kento Imajo, Yusuke Saigusa, Takashi Kobayashi, Koki Nagai, Shinya Nishida, Nobuyoshi Kawamura, Hiroyoshi Doi, Michihiro Iwaki, Asako Nogami, Yasushi Honda, Takaomi Kessoku, Yuji Ogawa, Hiroyuki Kirikoshi, Satoshi Yasuda, Hidenori Toyoda, Hideki Hayashi, Shigehiro Kokubu, Daisuke Utsunomiya, Hirokazu Takahashi, Shinichi Aishima, Beom Kyung Kim, Nobuharu Tamaki, Satoru Saito, Masato Yoneda, Rohit Loomba, Atsushi Nakajima. M‐PAST score is better than MAST score for the diagnosis of active fibrotic nonalcoholic steatohepatitisHepatology Research 2023; 53(9): 844 doi: 10.1111/hepr.13927
23
Kevin Kim-Jun Teh, Jason Pik-Eu Chang, George Boon-Bee Goh. Comprehensive Guide to Hepatitis Advances2023; : 3 doi: 10.1016/B978-0-323-98368-6.00014-8
24
Rita Basu, Mazen Noureddin, Jeanne M. Clark. Nonalcoholic Fatty Liver Disease: Review of Management for Primary Care ProvidersMayo Clinic Proceedings 2022; 97(9): 1700 doi: 10.1016/j.mayocp.2022.04.005
25
Anneli Andersson, Matt Kelly, Kento Imajo, Atsushi Nakajima, Jonathan A. Fallowfield, Gideon Hirschfield, Michael Pavlides, Arun J. Sanyal, Mazen Noureddin, Rajarshi Banerjee, Andrea Dennis, Stephen Harrison. Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-AnalysisClinical Gastroenterology and Hepatology 2022; 20(11): 2451 doi: 10.1016/j.cgh.2021.09.041
26
Richard K. Sterling, Andres Duarte-Rojo, Keyur Patel, Sumeet K. Asrani, Mouaz Alsawas, Jonathan A. Dranoff, Maria Isabel Fiel, M. Hassan Murad, Daniel H. Leung, Deborah Levine, Tamar H. Taddei, Bachir Taouli, Don C. Rockey. AASLD Practice Guideline on imaging-based noninvasive liver disease assessment of hepatic fibrosis and steatosisHepatology 2024;  doi: 10.1097/HEP.0000000000000843
27
Shuang Zheng, Kan He, Lei Zhang, Mingyang Li, Huimao Zhang, Pujun Gao. Conventional and artificial intelligence-based computed tomography and magnetic resonance imaging quantitative techniques for non-invasive liver fibrosis stagingEuropean Journal of Radiology 2023; 165: 110912 doi: 10.1016/j.ejrad.2023.110912
28
Shi Qi, Xiaodie Wei, Jinhan Zhao, Xinhuan Wei, Haiqing Guo, Jingxian Hu, Qiqige WuYun, Calvin Q. Pan, Nengwei Zhang, Jing Zhang. Performance of MAST, FAST, and MEFIB in predicting metabolic dysfunction‐associated steatohepatitisJournal of Gastroenterology and Hepatology 2024; 39(8): 1656 doi: 10.1111/jgh.16589
29
Marian A. Troelstra, Julia J. Witjes, Anne‐Marieke van Dijk, Anne L. Mak, Oliver Gurney‐Champion, Jurgen H. Runge, Diona Zwirs, Daniela Stols‐Gonçalves, Aelko H. Zwinderman, Marije ten Wolde, Houshang Monajemi, Sandjai Ramsoekh, Ralph Sinkus, Otto M. van Delden, Ulrich H. Beuers, Joanne Verheij, Max Nieuwdorp, Aart J. Nederveen, Adriaan G. Holleboom. Assessment of Imaging Modalities Against Liver Biopsy in Nonalcoholic Fatty Liver Disease: The Amsterdam NAFLD‐NASH CohortJournal of Magnetic Resonance Imaging 2021; 54(6): 1937 doi: 10.1002/jmri.27703
30
Jiahui Li, Xin Lu, Zheng Zhu, Kyle J. Kalutkiewicz, Taofic Mounajjed, Terry M. Therneau, Sudhakar K. Venkatesh, Yi Sui, Kevin J. Glaser, Safa Hoodeshenas, Armando Manduca, Vijay H. Shah, Richard L. Ehman, Alina M. Allen, Meng Yin. Head-to-head comparison of magnetic resonance elastography-based liver stiffness, fat fraction, and T1 relaxation time in identifying at-risk NASHHepatology 2023; 78(4): 1200 doi: 10.1097/HEP.0000000000000417
31
Monica A. Tincopa, Rohit Loomba. Noninvasive Tests to Assess Fibrosis and Disease Severity in Metabolic Dysfunction-Associated Steatotic Liver DiseaseSeminars in Liver Disease 2024; 44(03): 287 doi: 10.1055/s-0044-1788277