Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity
Palmas, Fiorella (Hospital Universitari Vall d'Hebron)
Ciudin, Andreea (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia)
Guerra, Raul (ARTIS Development)
Eiroa, Daniel (Hospital Universitari Vall d'Hebron)
Espinet, Carina (Hospital Universitari Vall d'Hebron)
Roson, Nuria (Hospital Universitari Vall d'Hebron)
Burgos Peláez, Rosa (Universitat Autònoma de Barcelona. Departament de Medicina)
Simó Canonge, Rafael (Universitat Autònoma de Barcelona. Departament de Medicina)

Data:	2023
Resum:	a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT images), to estimate in kilograms (Kg) the body composition (BC) in patients with obesity (PwO), by comparison with Dual-energy X-ray absorptiometry (DXA). b) To evaluate the accuracy of a new approach (based on both cm2 and Hounsfield Unit parameters provided by CT images), using an automatic software and artificial intelligence to estimate the BC in PwO, by comparison with DXA. Single-centre cross-sectional study including consecutive PwO, matched by gender with subjects with normal BMI. All the subjects underwent BC assessment by Dual-energy X-ray absorptiometry (DXA) and skeletal-CT at L3 vertebrae. CT images were processed using FocusedON-BC software. Three different models were tested. Model 1 and 2, based on the already existing equations, estimate the BC in Kg based on the tissue area (cm2) in the CT images. Model 3, developed in this study, includes as additional variables, the tissue percentage and its average Hounsfield unit. 70 subjects (46 PwO and 24 with normal BMI) were recruited. Significant correlations for BC were obtained between the three models and DXA. Model 3 showed the strongest correlation with DXA (r= 0. 926, CI95% [0. 835-0. 968], p<0. 001) as well as the best agreement based on Bland - Altman plots. This is the first study showing that the BC assessment based on skeletal CT images analyzed by automatic software coupled with artificial intelligence, is accurate in PwO, by comparison with DXA. Furthermore, we propose a new equation that estimates both the tissue quantity and quality, that showed higher accuracy compared with those currently used, both in PwO and subjects with normal BMI.
Ajuts:	Instituto de Salud Carlos III PI20/01806
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Obesity ; Morbid obesity ; Body composition ; Computed tomography ; Dual-energy X-ray absorptiometry
Publicat a:	Frontiers in endocrinology, Vol. 14 (June 2023) , ISSN 1664-2392

DOI: 10.3389/fendo.2023.1161116
PMID: 37455915

10 p, 5.4 MB

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