https://www.selleckchem.com/ Background Despite its high sensitivity in diagnosing COVID-19 in a screening population, chest CT appearances of COVID 19 pneumonia are thought to be non-specific. Purpose To assess the performance of United States (U.S.) and Chinese radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Methods A total of 219 patients with both positive COVID-19 by RT-PCR and abnormal chest CT findings were retrospectively identified from 7 Chinese hospitals in Hunan Providence, China from January 6 to February 20, 2020. A total of 205 patients with positive Respiratory Pathogen Panel for viral pneumonia and CT findings consistent with or highly suspicious for pneumonia by original radiology interpretation within 7 days of each other were identified from Rhode Island Hospital in Providence, RI. Three Chinese radiologists blindly reviewed all chest CTs (n=424) to differentiate COVID-19 from viral pneumonia. A sample of 58 age-matched cases was randomly selected and evaluated by 4 U.S. radiologists in a sia on chest CT with high specificity but moderate sensitivity. A translation of this abstract in Farsi is available in the supplement. - ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.Objective The BAI can be used to reflect %body fat. This study aimed to compare BAI with other methods used in the determination of body fat.Materials and Methods A cross-sectional study was conducted in Turkish adults. BAI, BMI, WHR, WHtR, body weight, hip and waist circumference (WC), skinfold thicknesses (biceps, triceps, subscapular, suprailiac) were measured. Body fat was measured using Bioelectric Impedance Analysis.Results The Bland-Altman analyses conducted in this study showed that for % body fat estimations, BIA was in excellent agreement with skinfold measurements (p = 0.131) without proportional bias (p = 0.082), but that BAI was not in agreement with BIA and skinfold measurement. There were a statistically significant positive correlatio