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- Langner, Taro, et al.
(författare)
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Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI
- 2019
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Ingår i: Magnetic Resonance in Medicine. - : Wiley. - 0740-3194 .- 1522-2594. ; 81:4, s. 2736-2745
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water–fat MRI scans of the abdomen was investigated, using 2 different neural network architectures.Methods: The 2 fully convolutional network architectures U‐Net and V‐Net were trained, evaluated, and compared using the water–fat MRI data. Data of the study Tellus with 90 scans from a single center was used for a 10‐fold cross‐validation in which the most successful configuration for both networks was determined. These configurations were then tested on 20 scans of the multicenter study beta‐cell function in JUvenile Diabetes and Obesity (BetaJudo), which involved a different study population and scanning device.Results: The U‐Net outperformed the used implementation of the V‐Net in both cross‐validation and testing. In cross‐validation, the U‐Net reached average dice scores of 0.988 (VAT) and 0.992 (SAT). The average of the absolute quantification errors amount to 0.67% (VAT) and 0.39% (SAT). On the multicenter test data, the U‐Net performs only slightly worse, with average dice scores of 0.970 (VAT) and 0.987 (SAT) and quantification errors of 2.80% (VAT) and 1.65% (SAT).Conclusion: The segmentations generated by the U‐Net allow for reliable quantification and could therefore be viable for high‐quality automated measurements of VAT and SAT in large‐scale studies with minimal need for human intervention. The high performance on the multicenter test data furthermore shows the robustness of this approach for data of different patient demographics and imaging centers, as long as a consistent imaging protocol is used.
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| 2. |
- Lundström, Elin, et al.
(författare)
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Brown adipose tissue estimated with the magnetic resonance imaging fat fraction is associated with glucose metabolism in adolescents
- 2019
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Ingår i: Pediatric Obesity. - : Wiley. - 2047-6302 .- 2047-6310. ; 14:9
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundDespite therapeutic potential against obesity and diabetes, the associations of brown adipose tissue (BAT) with glucose metabolism in young humans are relatively unexplored.ObjectivesTo investigate possible associations between magnetic resonance imaging (MRI) estimates of BAT and glucose metabolism, whilst considering sex, age, and adiposity, in adolescents with normal and overweight/obese phenotypes.MethodsIn 143 subjects (10‐20 years), MRI estimates of BAT were assessed as cervical‐supraclavicular adipose tissue (sBAT) fat fraction (FF) and T*2 from water‐fat MRI. FF and T*2 of neighbouring subcutaneous adipose tissue (SAT) were also assessed. Adiposity was estimated with a standardized body mass index, the waist‐to‐height ratio, and abdominal visceral and subcutaneous adipose tissue volumes. Glucose metabolism was represented by the 2h plasma glucose concentration, the Matsuda index, the homeostatic model assessment of insulin resistance, and the oral disposition index; obtained from oral glucose tolerance tests.ResultssBAT FF and T*2 correlated positively with adiposity before and after adjustment for sex and age. sBAT FF, but not T*2, correlated with 2h glucose and Matsuda index, also after adjustment for sex, age, and adiposity. The association with 2h glucose persisted after additional adjustment for SAT FF.ConclusionsThe association between sBAT FF and 2h glucose, observed independently of sex, age, adiposity, and SAT FF, indicates a role for BAT in glucose metabolism, which potentially could influence the risk of developing diabetes. The lacking association with sBAT T*2 might be due to FF being a superior biomarker for BAT and/or to methodological limitations in the T*2 quantification.
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| 3. |
- Manell, Hannes, et al.
(författare)
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Hyperglucagonemia in youth is associated with high plasma free fatty acids, visceral adiposity and impaired glucose tolerance
- 2019
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Ingår i: Pediatric Diabetes. - : Hindawi Limited. - 1399-543X .- 1399-5448. ; 20:7, s. 880-891
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To delineate mechanisms for fasting hyperglucagonemia in childhood obesity bystudying the associations between fasting plasma glucagon concentrations and plasmalipid parameters and fat compartments.Methods: Cross-sectional study of children and adolescents with obesity (n=147) and leancontrols (n=43). Differences in free fatty acids (FFA), triglycerides, insulin and fatcompartments (quantified by magnetic resonance imaging) across quartiles of fastingplasma glucagon concentration were analysed. Differences in OGTT glucagonresponse was tested in high vs low FFAs, triglycerides and insulin. Human islets ofLangerhans were cultured at 5.5 mmol/l glucose and in the absence or presence of aFFA mixture with total FFA concentration of 0.5 mmol/l and glucagon secretionquantified.Results: In children with obesity, the quartile with the highest fasting glucagon had higherinsulin (201±174 vs 83±39 pmol/l, p<0.01), FFAs (383±52 vs 338±109 μmol/l,p=0.02), triglycerides (1.5±0.9 vs 1.0±0.7 mmol/l, p<0.01), visceral adipose tissuevolume (1.9±0.8 vs 1.2±0.3 dm3, p<0.001) and a higher prevalence of impairedglucose tolerance (41% vs 8%, p=0.01) than the lowest quartile. During OGTT,children with obesity and high insulin had a worse suppression of glucagon during thefirst 10 minutes after glucose intake. Glucagon secretion was 2.6-fold higher in isletstreated with FFAs than in those not treated with FFAs.4Conclusion: Hyperglucagonemia in childhood obesity is associated with hyperinsulinemia, highplasma FFAs, high plasma triglycerides, visceral adiposity and impaired glucosetolerance. The glucagonotropic effect of FFAs on isolated human islets provides apotential mechanism linking high fasting plasma FFAs and glucagon levels.
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