Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults.
Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults.
复制标题
人体组成分析的软件程序对肥胖成年人的腹部计算机断层扫描扫描。
DOI:
10.20945/2359-3997000000174
复制
发表时间:
2020-02
影响因子:
1.7
通讯作者:
Trussardi Fayh, Ana Paula
中科院分区:
文献类型:
--
作者:
Barbalho, Erica Roberta;Gomes da Rocha, Ilanna Marques;Cunha de Medeiros, Galtieri Otavio;Friedman, Rogerio;Trussardi Fayh, Ana Paula
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. 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. 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. 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.
登录
查看更多内容
DOI:
10.1002/jcsm.12267
发表时间:
2018-04
期刊:
Journal of cachexia, sarcopenia and muscle
影响因子:
--
作者:
Daly LE;Ní Bhuachalla ÉB;Power DG;Cushen SJ;James K;Ryan AM
通讯作者:
Ryan AM
影响因子:
3.3
作者:
Andreoli, Angela;Garaci, Francesco;Guglielmi, Giuseppe
通讯作者:
Guglielmi, Giuseppe
影响因子:
4.8
作者:
Bazzocchi, Alberto;Filonzi, Giacomo;Battista, Giuseppe
通讯作者:
Battista, Giuseppe
影响因子:
6.7
作者:
Benjamin, Jaya;Shasthry, Varsha;Sarin, Shiv Kumar
通讯作者:
Sarin, Shiv Kumar
影响因子:
4.9
作者:
Kelly, T.;Yang, W.;He, J.
通讯作者:
He, J.