ArticleFrontiers in endocrinology2023
Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 18 citations in OpenAlex.
- Hypothalamic syndrome and acquired hypothalamic obesity: from fragmented care to integrated multidisciplinary management.Pituitary · 2026Review
- Beyond BMI: Rethinking Obesity Metrics and Cardiovascular Risk in the Era of Precision Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Integrating Imaging and Nutrition: Chest CT Muscle Analysis in Adults with Cystic Fibrosis.Nutrients · 2025Article
- Cachexia Phenotyping Through Morphofunctional Assessment and Mitocondrial Biomarkers (GDF-15 and PGC-1α) in Idiopathic Pulmonary Fibrosis.Nutrients · 2025Observational
- The Nutritional Phenotyping of Idiopathic Pulmonary Fibrosis Through Morphofunctional Assessment: A Bicentric Cross-Sectional Case-Control Study.Life (Basel, Switzerland) · 2025Article
- Joint association of systemic inflammatory response index and sarcopenia with mortality among individuals with self-reported cancer.BMC cancer · 2025Article
- Relationships Between Performance in the Frequency Speed Kick Test, Heart Rate Variability, and Body Composition in Amateur Muay Thai Fighters.International journal of exercise science · 2025Article
- Multiparametric Approach to the Colorectal Cancer Phenotypes Integrating Morphofunctional Assessment and Computer Tomography.Cancers · 2024Article
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- Prospective Study to Evaluate Rectus Femoris Muscle Ultrasound for Body Composition Analysis in Patients Undergoing Bariatric Surgery.Journal of clinical medicine · 2024Article
- Observational
- Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer.Frontiers in nutrition · 2024Article
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8 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: 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. Methods: 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. Results: 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. Conclusion: 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.
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