Amir Reza Radmard1, Mohammad Sadegh Rahmanian2, Alireza Abrishami3, Ali Yoonessi4, Soheil Kooraki3, Mehrdad Dadgostar5, Amir Pejman Hashemi Taheri6, Marjan Gerami Seresht3, Hossein Poustchi7, Elham Jafari8, Reza Malekzadeh9, Shahin Merat9. 1. 1)Assistant Professor, Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences. North Kargar Ave. Tehran 14114, Iran. 2)Digestive Tract Image Processing Research Group, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran. 2. Digestive Tract Image Processing Research Group, Digestive Diseases Research Institute, Tehran University of Medical Sciences. North Kargar Ave. Tehran 14117-13135, Iran. 3. Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences. North Kargar Ave. Tehran 14114, Iran. 4. 5)Assistant Professor, Neuroscience Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. 6)Digestive Tract Image Processing Research Group, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran. 5. Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran. 6. Assistant Professor, Department of Radiology, Shariati hospital, Tehran University of Medical Sciences. North Kargar Ave. Tehran 14114, Iran. 7. Associate Professor, Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran 14117-13135, Iran. 8. Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran 14117-13135, Iran. 9. Professor of Medicine, Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran 14117-13135, Iran.
Abstract
BACKGROUND: To investigate the association between non-alcoholic fatty liver disease (NAFLD) and quantitative measures of central adiposity in the general population using a semi-automated method on magnetic resonance imaging (MRI) data. METHODS: Subjects were recruited from Golestan Cohort Study. Two groups of 120 individuals with and without fatty liver were randomly selected based on findings of ultrasound. Non-invasive diagnosis of NAFLD was made by combination of ultrasound and MRI. Various anthropometric indices including body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured. Segmentation and calculation of visceral (VFA) and subcutaneous fat area (SFA) were performed on three levels of MRI slices using semi-automated software. RESULTS: A total of 109 individuals fulfilled the NAFLD criteria, while 92 subjects were selected as the control group. All obesity measures, except for SFA, were significantly higher in subjects with NAFLD compared to controls. Significant associations were found between NAFLD and adiposity indices, except for SFA, with the highest odds ratio observed in WHR (OR: 3.37, CI: 1.40-3.70, P < 0.001). VFA also had the greatest correlation with ultrasound (r = 0.523, P < 0.001) and MRI (r = 0.546, P < 0.001) indicators of NAFLD. CONCLUSIONS: Quantitative measures of visceral adiposity are associated with NAFLD, while subcutaneous fat measures are poor indicators for identifying NAFLD. Compared to conventional anthropometric indices, VFA best correlates with ultrasound and MRI criteria of fatty liver.
BACKGROUND: To investigate the association between non-alcoholic fatty liver disease (NAFLD) and quantitative measures of central adiposity in the general population using a semi-automated method on magnetic resonance imaging (MRI) data. METHODS: Subjects were recruited from Golestan Cohort Study. Two groups of 120 individuals with and without fatty liver were randomly selected based on findings of ultrasound. Non-invasive diagnosis of NAFLD was made by combination of ultrasound and MRI. Various anthropometric indices including body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured. Segmentation and calculation of visceral (VFA) and subcutaneous fat area (SFA) were performed on three levels of MRI slices using semi-automated software. RESULTS: A total of 109 individuals fulfilled the NAFLD criteria, while 92 subjects were selected as the control group. All obesity measures, except for SFA, were significantly higher in subjects with NAFLD compared to controls. Significant associations were found between NAFLD and adiposity indices, except for SFA, with the highest odds ratio observed in WHR (OR: 3.37, CI: 1.40-3.70, P < 0.001). VFA also had the greatest correlation with ultrasound (r = 0.523, P < 0.001) and MRI (r = 0.546, P < 0.001) indicators of NAFLD. CONCLUSIONS: Quantitative measures of visceral adiposity are associated with NAFLD, while subcutaneous fat measures are poor indicators for identifying NAFLD. Compared to conventional anthropometric indices, VFA best correlates with ultrasound and MRI criteria of fatty liver.
Authors: Marta Hernández-Conde; Elba Llop; Carlos Fernández Carrillo; Beatriz Tormo; Javier Abad; Luis Rodriguez; Christie Perelló; Marta López Gomez; José Luis Martínez-Porras; Natalia Fernández Puga; Maria Trapero-Marugan; Enrique Fraga; Carlos Ferre Aracil; José Luis Calleja Panero Journal: World J Gastroenterol Date: 2020-11-14 Impact factor: 5.742
Authors: David J Hanna; Scott T Jamieson; Christine S Lee; Christopher A Pluskota; Nicole J Bressler; Peter N Benotti; Sandeep Khurana; David D K Rolston; Christopher D Still Journal: Obes Sci Pract Date: 2021-05-06