Jessica Murphy1,2,3, Simon L Bacon1,3,4, José A Morais1,5,6, Michael A Tsoukas6, Sylvia Santosa1,2,3. 1. Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada. 2. Metabolism, Obesity and Nutrition Laboratory, PERFORM Centre, Concordia University, Montreal, Quebec, Canada. 3. Centre de recherche - Axe maladies chroniques, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada. 4. Montreal Behavioural Medicine Centre, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada. 5. Division of Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada. 6. Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, Quebec, Canada.
Abstract
OBJECTIVE: This meta-analysis aimed to assess the agreement between intra-abdominal adipose tissue (IAAT) quantified by alternative methods and the reference standards, computed tomography (CT) and magnetic resonance imaging (MRI). METHODS: MEDLINE and EMBASE electronic databases were systematically searched to identify studies that quantified IAAT thickness, area, or volume by a comparator method and CT or MRI. Using an inverse variance weighted approach (random-effects model), the mean differences and 95% limits of agreement (LoA) were pooled between methods. RESULTS: The meta-analysis included 24 studies using four comparator methods. The pooled mean differences were -0.3 cm (95% LoA: -3.4 to 3.2 cm; P = 0.400) for ultrasound and -11.6 cm2 (95% LoA: -43.1 to 19.9 cm2 ; P = 0.004) for bioelectrical impedance analysis. Dual-energy x-ray absorptiometry (DXA) quantified both IAAT area and volume with mean differences of 8.1 cm2 (95% LoA: -98.9 to 115.1 cm2 ; P = 0.061) and 10 cm3 (95% LoA: -280 to 300 cm3 ; P = 0.808), respectively. CONCLUSIONS: Ultrasound and DXA measure IAAT with minimal bias from CT or MRI, while bioelectrical impedance analysis systematically underestimates IAAT. However, with the exception of DXA for IAAT volume, the wide LoA caution against clinical or research use of the comparator methods and emphasize the need to optimize alternatives to the reference standards.
OBJECTIVE: This meta-analysis aimed to assess the agreement between intra-abdominal adipose tissue (IAAT) quantified by alternative methods and the reference standards, computed tomography (CT) and magnetic resonance imaging (MRI). METHODS: MEDLINE and EMBASE electronic databases were systematically searched to identify studies that quantified IAAT thickness, area, or volume by a comparator method and CT or MRI. Using an inverse variance weighted approach (random-effects model), the mean differences and 95% limits of agreement (LoA) were pooled between methods. RESULTS: The meta-analysis included 24 studies using four comparator methods. The pooled mean differences were -0.3 cm (95% LoA: -3.4 to 3.2 cm; P = 0.400) for ultrasound and -11.6 cm2 (95% LoA: -43.1 to 19.9 cm2 ; P = 0.004) for bioelectrical impedance analysis. Dual-energy x-ray absorptiometry (DXA) quantified both IAAT area and volume with mean differences of 8.1 cm2 (95% LoA: -98.9 to 115.1 cm2 ; P = 0.061) and 10 cm3 (95% LoA: -280 to 300 cm3 ; P = 0.808), respectively. CONCLUSIONS: Ultrasound and DXA measure IAAT with minimal bias from CT or MRI, while bioelectrical impedance analysis systematically underestimates IAAT. However, with the exception of DXA for IAAT volume, the wide LoA caution against clinical or research use of the comparator methods and emphasize the need to optimize alternatives to the reference standards.
Authors: Nicolas Linder; Kilian Solty; Anna Hartmann; Tobias Eggebrecht; Matthias Blüher; Roland Stange; Harald Busse Journal: BMC Med Imaging Date: 2019-10-22 Impact factor: 1.930
Authors: Marcelo Rodrigues Dos Santos; Guilherme Wesley Peixoto da Fonseca; Letícia Pironato Sherveninas; Francis Ribeiro de Souza; Antônio Carlos Battaglia Filho; Caio Eduardo Novaes; Rosa Maria Rodrigues Pereira; Carlos Eduardo Negrão; Antônio Carlos Pereira Barretto; Maria-Janieire de Nazaré Nunes Alves Journal: ESC Heart Fail Date: 2020-03-27