OBJECTIVES: To evaluate 5-slice stack/single-slice MRI approaches and anthropometric measures as predictors for metabolically relevant whole-body adipose tissue (AT) compartments in overweight/obese adolescents. METHODS: Forty adolescents (22 males, age 11.4-16.1 years) were included with a BMI above the 90th percentile. Volumes of whole-body AT compartments, i.e. total AT (TAT), subcutaneous AT (SCAT) and visceral AT (VAT), were determined using a breath-hold T1-weighted-FSE-MR-sequence and semi-automated segmentation serving as the gold standard. SCAT, VAT and TAT was estimated by either axially oriented single-slices or 5-slice-stacks centred at specific anatomic landmarks (umbilicus, head of femur and humerus). Furthermore, anthropometric measures were also evaluated as predictors of whole-body AT compartments. RESULTS: Strong correlations were found for both genders between TAT/SCAT and single-slice evaluation (e.g. whole-body SCAT-SCAT at umbilicus level: r = 0.91 (m), r = 0.92 (f)) or anthropometry (SCAT-BMI: r = 0.93 (m, f)). VAT was correlated to VAT at umbilicus (r = 0.71 (m), r = 0.94 (f)) but only weakly to anthropometry. CONCLUSIONS: Anthropometric measures and single-slice MRI can accurately predict TAT/SCAT which cannot be improved by evaluation of 5-slice stacks. Prediction of VAT by 5-slice stack/single-slice MRI protocols seems only to be accurate in females. Anthropometry cannot be reliably used for prediction of VAT in both genders. Thus, MRI seems to be necessary for quantification of VAT in overweight/obese adolescents of both genders.
OBJECTIVES: To evaluate 5-slice stack/single-slice MRI approaches and anthropometric measures as predictors for metabolically relevant whole-body adipose tissue (AT) compartments in overweight/obese adolescents. METHODS: Forty adolescents (22 males, age 11.4-16.1 years) were included with a BMI above the 90th percentile. Volumes of whole-body AT compartments, i.e. total AT (TAT), subcutaneous AT (SCAT) and visceral AT (VAT), were determined using a breath-hold T1-weighted-FSE-MR-sequence and semi-automated segmentation serving as the gold standard. SCAT, VAT and TAT was estimated by either axially oriented single-slices or 5-slice-stacks centred at specific anatomic landmarks (umbilicus, head of femur and humerus). Furthermore, anthropometric measures were also evaluated as predictors of whole-body AT compartments. RESULTS: Strong correlations were found for both genders between TAT/SCAT and single-slice evaluation (e.g. whole-body SCAT-SCAT at umbilicus level: r = 0.91 (m), r = 0.92 (f)) or anthropometry (SCAT-BMI: r = 0.93 (m, f)). VAT was correlated to VAT at umbilicus (r = 0.71 (m), r = 0.94 (f)) but only weakly to anthropometry. CONCLUSIONS: Anthropometric measures and single-slice MRI can accurately predict TAT/SCAT which cannot be improved by evaluation of 5-slice stacks. Prediction of VAT by 5-slice stack/single-slice MRI protocols seems only to be accurate in females. Anthropometry cannot be reliably used for prediction of VAT in both genders. Thus, MRI seems to be necessary for quantification of VAT in overweight/obese adolescents of both genders.
Authors: Michael S Middleton; William Haufe; Jonathan Hooker; Magnus Borga; Olof Dahlqvist Leinhard; Thobias Romu; Patrik Tunón; Gavin Hamilton; Tanya Wolfson; Anthony Gamst; Rohit Loomba; Claude B Sirlin Journal: Radiology Date: 2017-03-09 Impact factor: 11.105
Authors: Sophie V Eastwood; Therese Tillin; Andrew Wright; John Heasman; Joseph Willis; Ian F Godsland; Nita Forouhi; Peter Whincup; Alun D Hughes; Nishi Chaturvedi Journal: PLoS One Date: 2013-09-17 Impact factor: 3.240
Authors: Nicolas Linder; Alexander Schaudinn; Nikita Garnov; Matthias Blüher; Arne Dietrich; Tatjana Schütz; Stefanie Lehmann; Ulf Retschlag; Thomas Karlas; Thomas Kahn; Harald Busse Journal: Sci Rep Date: 2016-03-24 Impact factor: 4.379