Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults

• Published in: Archives of Endocrinology and Metabolism 2020-02, Vol.64 (1), p.24-29
• Main Authors: Barbalho, Erica Roberta, Rocha, Ilanna Marques Gomes da, Medeiros, Galtieri Otávio Cunha de, Friedman, Rogerio, Fayh, Ana Paula Trussardi
• Format: Article
• Language: English
• Subjects: Body composition; imaging techniques; Original; skeletal muscle mass; subcutaneous adipose tissue; visceral fat
• ISSN: 2359-3997; 2359-4292; 2359-4292
• DOI: 10.20945/2359-3997000000174

ABSTRACT Objective A large number of studies have used abdominal computed tomography (CT) to quantify body composition, and different software programmes have been used to perform these analyses. Thus, this comparison is important to enable researchers to know the performance of more accessible software. Subjects and methods Fifty-four abdominal CT scans of obese (BMI 30 to 39.9 kg/m2), sedentary adults (24-41 years) patients from a Brazilian single center were selected. Two software programs were compared: Slice-O-Matic (Tomovision, Canada) version 5.0 and OsiriX version 5.8.5. The body composition analysis were segmented using standard Hounsfield unit (HU) (adipose tissue: -190 to +30 and skeletal muscle: -29 to +150) and measured at the mid third lumbar vertebra (L3) level on a slice showing both transversal processes. Bland-Altman limits of agreement analyses were used to assess the level of agreement between Slice-O-Matic and OsiriX. Results A total of fifty-four participants were evaluated, with majority women (69%), mean of age 31.3 (SD 6.5) years and obesity grade I most prevalent (74.1%). The agreement, in Bland-Altman analysis, between Slice-O-Matic and OsiriX analisys for the muscle mass tissue, visceral adipose tissue and subcutaneous adipose tissue were excellent (≥ 0.954) with P-values < 0.001. Conclusion These findings show that Slice-O-Matic and OsiriX softwares agreement in measurements of skeletal muscle and adipose tissue and sarcopenia diagnosis in obese patients, suggesting good applicability in studies with body composition in this population and clinical practice.