Non-alcoholic fatty liver disease (NAFLD) has been an emerging major health problem, and the most common cause of chronic liver disease in Western countries. Traditionally, liver biopsy has been gold standard method for quantification of hepatic steatosis. However, its invasive nature with potential complication as well as measurement variability are major problem. Thus, various imaging studies have been used for evaluation of hepatic steatosis. Ultrasonography provides fairly good accuracy to detect moderate-to-severe degree hepatic steatosis, but limited accuracy for mild steatosis. Operator-dependency and subjective/qualitative nature of examination are another major drawbacks of ultrasonography. Computed tomography can be considered as an unsuitable imaging modality for evaluation of NAFLD due to potential risk of radiation exposure and limited accuracy in detecting mild steatosis. Both magnetic resonance spectroscopy and magnetic resonance imaging using chemical shift technique provide highly accurate and reproducible diagnostic performance for evaluating NAFLD, and therefore, have been used in many clinical trials as a non-invasive reference of standard method.
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Development and Validation of a Simple Index Based on Non-Enhanced CT and Clinical Factors for Prediction of Non-Alcoholic Fatty Liver Disease Yura Ahn, Sung-Cheol Yun, Seung Soo Lee, Jung Hee Son, Sora Jo, Jieun Byun, Yu Sub Sung, Ho Sung Kim, Eun Sil Yu Korean Journal of Radiology.2020; 21(4): 413. CrossRef
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Accuracy of a Semi-Quantitative Ultrasound Method to Determine Liver Fat Infiltration in Early Adulthood Camila Ibacahe, Paulina Correa-Burrows, Raquel Burrows, Gladys Barrera, Elissa Kim, Sandra Hirsch, Boris Jofré, Estela Blanco, Sheila Gahagan, Daniel Bunout Diagnostics.2020; 10(6): 431. CrossRef
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Association between Inflammatory Biomarkers and Nutritional Status in Fatty Liver Hee-Sook Lim, Joungyun Choi, Bora Lee, Sang Gyune Kim, Young Seok Kim, Jeong-Ju Yoo Clinical Nutrition Research.2020; 9(3): 182. CrossRef
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Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression Tielman T. Van Vleck, Lili Chan, Steven G. Coca, Catherine K. Craven, Ron Do, Stephen B. Ellis, Joseph L. Kannry, Ruth J.F. Loos, Peter A. Bonis, Judy Cho, Girish N. Nadkarni International Journal of Medical Informatics.2019; 129: 334. CrossRef
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Underlying nonalcoholic fatty liver disease is a significant factor for breast cancer recurrence after curative surgery Young-Sun Lee, Ha Seok Lee, Sung Won Chang, Chan Uk Lee, Jung Sun Kim, Young Kul Jung, Ji Hoon Kim, Yeon Seok Seo, Hyung Joon Yim, Chang Hee Lee, Sang Uk Woo, Jae Hong Seo, Jong Eun Yeon, Soon Ho Um, Kwan Soo Byun Medicine.2019; 98(39): e17277. CrossRef
Examining the associations among intraocular pressure, hepatic steatosis, and anthropometric parameters Ying-Jen Chen, Jiann-Torng Chen, Ming-Cheng Tai, Chang-Min Liang, Yuan-Yuei Chen, Tung-Wei Kao, Wen-Hui Fang, Wei-Liang Chen Medicine.2019; 98(43): e17598. CrossRef
Quantification of Liver Fat in NAFLD: Available Modalities and Clinical Significance Kee-Huat Chuah, Wah-Kheong Chan Current Hepatology Reports.2019; 18(4): 492. CrossRef
Quantification of hepatic steatosis in histologic images by deep learning method Fan Yang, Xianyuan Jia, Pinggui Lei, Yan He, Yining Xiang, Jun Jiao, Shi Zhou, Wei Qian, Qinghong Duan Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics.2019; 27(6): 1033. CrossRef
Nonalcoholic Fatty Liver Disease: An Update on the Diagnosis Jia-Zhen Zhang, Jing-Jing Cai, Yao Yu, Zhi-Gang She, Hongliang Li Gene Expression.2019; 19(3): 187. CrossRef
Prevalence and predictive factors of moderate/severe liver steatosis in chronic hepatitis C (CHC) infected patients evaluated with controlled attenuation parameter (CAP) A. C. Cardoso, R. M. Perez, C. de Figueiredo‐Mendes, N. Carvalho Leite, H. S. Moraes‐Coelho, C. A. Villela‐Nogueira Journal of Viral Hepatitis.2018; 25(11): 1244. CrossRef
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