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Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults
Barbalho, Erica Roberta; Rocha, Ilanna Marques Gomes da; Medeiros, Galtieri Otávio Cunha de; Friedman, Rogerio; Fayh, Ana Paula Trussardi.
  • Barbalho, Erica Roberta; Universidade Federal do Rio Grande do Norte. Centro de Ciências da Saúde. Programa de Pós-Graduação em Educação Física. Natal. BR
  • Rocha, Ilanna Marques Gomes da; Universidade Federal do Rio Grande do Norte. Centro de Ciências da Saúde. Programa de Pós-Graduação em Nutrição. Natal. BR
  • Medeiros, Galtieri Otávio Cunha de; Universidade Federal do Rio Grande do Norte. Hospital Universitário Onofre Lopes. Natal. BR
  • Friedman, Rogerio; Universidade Federal do Rio Grande do Sul. Porto Alegre. BR
  • Fayh, Ana Paula Trussardi; Universidade Federal do Rio Grande do Norte. Centro de Ciências da Saúde. Programa de Pós-Graduação em Educação Física. Natal. BR
Arch. endocrinol. metab. (Online) ; 64(1): 24-29, Jan.-Feb. 2020. tab, graf
Article in English | LILACS | ID: biblio-1088778
ABSTRACT
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.
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Full text: Available Index: LILACS (Americas) Main subject: Body Composition / Intra-Abdominal Fat / Subcutaneous Fat / Obesity Limits: Adult / Female / Humans / Male Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal do Rio Grande do Norte/BR / Universidade Federal do Rio Grande do Sul/BR

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Full text: Available Index: LILACS (Americas) Main subject: Body Composition / Intra-Abdominal Fat / Subcutaneous Fat / Obesity Limits: Adult / Female / Humans / Male Language: English Journal: Arch. endocrinol. metab. (Online) Journal subject: Endocrinology / Metabolism Year: 2020 Type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal do Rio Grande do Norte/BR / Universidade Federal do Rio Grande do Sul/BR