Sarah Orkin1,2, Toshifumi Yodoshi1, Emily Romantic1, Kathryn Hitchcock1, Ana Catalina Arce-Clachar1,2, Kristin Bramlage1, Qin Sun2,3, Lin Fei2,3, Stavra A Xanthakos1,2, Andrew T Trout2,4,5, Marialena Mouzaki1,2. 1. Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA. 2. Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA. 3. Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA. 4. Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA. 5. Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Abstract
OBJECTIVE: To determine the relationship between bioelectrical impedance analysis (BIA) and magnetic resonance imaging (MRI) obtained measures of body composition in children with nonalcoholic fatty liver disease (NAFLD). METHODS: Youth with obesity and NAFLD who had BIA and abdominal MRI testing were included. BIA measured skeletal muscle mass (SMM), appendicular lean mass (ALM), trunk muscle mass (TMM), and percent body fat. MRI measured total psoas muscle surface area (tPMSA) and fat compartments. Univariate analysis described the relationship between BIA- and MRI-derived measurements. Multivariable regression analyses built a model with body composition measured via MRI. RESULTS: 115 patients (82 (71%) male, 38 (33%) Hispanic, median age14 years) were included. There was a strong correlation between tPMSA and SMM, ALM, and TMM (correlation coefficients [CCs]: 0.701, 0.689, 0.708, respectively; all P < .001). Higher SMM, ALM, and TMM were associated with higher tPMSA. This association remained after controlling for age, sex, ethnicity, type 2 diabetes mellitus status, and body mass index z-score. Total fat mass by BIA and MRI-determined total, subcutaneous, and intraperitoneal fat area correlated significantly (CCs: 0.813, 0.808, 0.515, respectively; all P < .001). In univariate regression, higher total fat mass by BIA was associated with increased total fat area and increased fat in each of the four regions measured by MRI. After controlling for confounders, the association between total fat mass by BIA and total fat area by MRI persisted. CONCLUSIONS: BIA measures of muscle and fat mass correlate strongly with MRI measures of tPMSA and fat areas in children with obesity and NAFLD.
OBJECTIVE: To determine the relationship between bioelectrical impedance analysis (BIA) and magnetic resonance imaging (MRI) obtained measures of body composition in children with nonalcoholic fatty liver disease (NAFLD). METHODS: Youth with obesity and NAFLD who had BIA and abdominal MRI testing were included. BIA measured skeletal muscle mass (SMM), appendicular lean mass (ALM), trunk muscle mass (TMM), and percent body fat. MRI measured total psoas muscle surface area (tPMSA) and fat compartments. Univariate analysis described the relationship between BIA- and MRI-derived measurements. Multivariable regression analyses built a model with body composition measured via MRI. RESULTS: 115 patients (82 (71%) male, 38 (33%) Hispanic, median age14 years) were included. There was a strong correlation between tPMSA and SMM, ALM, and TMM (correlation coefficients [CCs]: 0.701, 0.689, 0.708, respectively; all P < .001). Higher SMM, ALM, and TMM were associated with higher tPMSA. This association remained after controlling for age, sex, ethnicity, type 2 diabetes mellitus status, and body mass index z-score. Total fat mass by BIA and MRI-determined total, subcutaneous, and intraperitoneal fat area correlated significantly (CCs: 0.813, 0.808, 0.515, respectively; all P < .001). In univariate regression, higher total fat mass by BIA was associated with increased total fat area and increased fat in each of the four regions measured by MRI. After controlling for confounders, the association between total fat mass by BIA and total fat area by MRI persisted. CONCLUSIONS: BIA measures of muscle and fat mass correlate strongly with MRI measures of tPMSA and fat areas in children with obesity and NAFLD.
Authors: Ho Cheol Hong; Soon Young Hwang; Hae Yoon Choi; Hye Jin Yoo; Ji A Seo; Sin Gon Kim; Nan Hee Kim; Sei Hyun Baik; Dong Seop Choi; Kyung Mook Choi Journal: Hepatology Date: 2014-03-24 Impact factor: 17.425
Authors: Andrew T Trout; David E Hunte; Marialena Mouzaki; Stavra A Xanthakos; Weizhe Su; Bin Zhang; Jonathan R Dillman Journal: Abdom Radiol (NY) Date: 2019-09
Authors: A Javed; M Jumean; M H Murad; D Okorodudu; S Kumar; V K Somers; O Sochor; F Lopez-Jimenez Journal: Pediatr Obes Date: 2014-06-25 Impact factor: 4.000