Computed tomography on lung cancer screening is useful for adjuvant comorbidity diagnosis in developing countries
| Autor: | Juliane Nascimento de Mattos, Carlos Eugênio Santiago Escovar, Manuela Zereu, Adalberto Sperb Rubin, Spencer Marcantonio Camargo, Tan-Lucien Mohammed, Ricardo Sales dos Santos, Nupur Verma, Diana Penha Pereira, Erique Guedes Pinto, Tiago Machuca, Tássia Machado Medeiros, Bruno Hochhegger |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ERJ Open Research, Vol 8, Iss 2 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2312-0541 23120541 |
| DOI: | 10.1183/23120541.00061-2022 |
| Popis: | Purpose The aim of this study was to analyse and quantify the prevalence of six comorbidities from lung cancer screening (LCS) on computed tomography (CT) scans of patients from developing countries. Methods For this retrospective study, low-dose CT scans (n=775) were examined from patients who underwent LCS in a tertiary hospital between 2016 and 2020. An age- and sex-matched control group was obtained for comparison (n=370). Using the software, coronary artery calcification (CAC), the skeletal muscle area, interstitial lung abnormalities, emphysema, osteoporosis and hepatic steatosis were accessed. Clinical characteristics of each participant were identified. A t-test and Chi-squared test were used to examine differences between these values. Interclass correlation coefficients (ICCs) and interobserver agreement (assessed by calculating kappa coefficients) were calculated to assess the correlation of measures interpreted by two observers. p-values |
| Databáze: | Directory of Open Access Journals |
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