Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI.

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作者： Subin,Heo ^[1] ; Seung Soo,Lee ^[2] ; So Yeon,Kim ^[3] ; Young-Suk,Lim ^[1] ; Hyo Jung,Park ^[4] ; Jee Seok,Yoon ^[1] ; Heung-Il,Suk ^[5] ; Yu Sub,Sung ^[5] ; Bumwoo,Park ^[6] ; Ji Sung,Lee ^[7]

作者单位： Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. ^[1] Department of Radiology, Ajou University School of Medicine, Suwon, Korea. ^[2] Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. seungsoolee@amc.seoul.kr. ^[3] Department of Gastroenterology, Liver Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. ^[4] Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea. ^[5] Department of Artificial Intelligence, Korea University, Seoul, Korea. ^[6] Clinical Research Center, Asan Medical Center, Seoul, Korea. ^[7] Health Innovation Big Data Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea. ^[8] Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. ^[9]

关键词 Cirrhosis Deep learning Gadolinium methoxybenzyl DTPA Magnetic resonance imaging

主题词人类(Humans);男(雄)性(Male);前瞻性研究(Prospective Studies);磁共振成像(Magnetic Resonance Imaging);癌, 肝细胞(Carcinoma, Hepatocellular);肝肿瘤(Liver Neoplasms)

DOI 10.3348/kjr.2022.0494

PMID 36447415

发布时间 2023-01-17

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