An Evaluation of quantitative body composition on thoracic computed tomography and the effect on clinical severity in patients with chronic obstructive pulmonary disease

Authors : Furkan KAYA

Pages : 75-81

View : 27 | Download : 4

Publication Date : 2021-07-27

Article Type : Research Paper

Abstract :The aim of this study was to evaluate the effect on disease severity of the quantitative measurements of pectoral muscle area insert ignore into journalissuearticles values(PMA);, pectoral muscle index insert ignore into journalissuearticles values(PMI);, pectoral muscle density insert ignore into journalissuearticles values(PMD);, subcutaneous adipose tissue insert ignore into journalissuearticles values(SAT); and mediastinal adipose tissue insert ignore into journalissuearticles values(MAT); taken on thoracic computed tomography insert ignore into journalissuearticles values(CT); of patients with chronic obstructive pulmonary disease insert ignore into journalissuearticles values(COPD);, according to the Global Initiative for Chronic Obstructive Lung Disease insert ignore into journalissuearticles values(GOLD); classification. A retrospective screening was made of patients diagnosed with COPD and applied with thoracic CT and respiratory function tests. For patients with obstructive findings, a record was made of height, weight, body mass index, and smoking history insert ignore into journalissuearticles values(packet/year);. On thoracic axial CT images, the PMA, PMI, PMD, SAT, and MAT values at the aortic arch level were calculated quantitatively using OsiriX software insert ignore into journalissuearticles values(Pixmeo, Switzerland);. The patients were grouped as A-B-C-D according to the GOLD 2018 guidelines. Then two groups were formed as mild-moderate COPD insert ignore into journalissuearticles values(GOLD A-B); and severe COPD insert ignore into journalissuearticles values(GOLD C-D);. The relationship was evaluated between clinical severity and quantitative body composition values according to the GOLD classification. A total of 80 patients diagnosed with COPD were included in the study comprising 61 males and 19 females. The GOLD A-B group included 43 insert ignore into journalissuearticles values(53.75%); patients and the GOLD C-D group, 37 insert ignore into journalissuearticles values(46.25%); patients. No significant difference was determined between the two groups in respect of the PMA, PMI, and PMD values insert ignore into journalissuearticles values(p=0.001);. A statistically significant difference was determined between the groups in respect of the SAT and MAT values insert ignore into journalissuearticles values(p=0.001, p=0.002, respectively);. A cutoff value of <30.04 in PMD insert ignore into journalissuearticles values(0.964; 95%CI:0.928-1); showed the best performance in predicting the mild-moderate COPD patients insert ignore into journalissuearticles values(GOLD A-B); with 92% sensitivity and 93% specificity. The results of this study demonstrated that PMD showed the best quantitative body composition performance in the differentiation of mild-moderate and severe COPD disease.
Keywords : body composition, chronic obstructive pulmonary, disease, quantitative analysis, thoracic computed tomography

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