Goel Shiv, Kipp Adam, Goel Nirmit, Kipp Jingjing
Medicine, St. Ignatius College Prep, Chicago, USA.
Radiology, Michigan State University, East Lansing, USA.
Cureus. 2022 Nov 22;14(11):e31794. doi: 10.7759/cureus.31794. eCollection 2022 Nov.
Introduction COVID-19 and influenza are primarily respiratory diseases, have similar symptoms with most patients developing mild to moderate illness, and show similar features on chest X-rays. We hypothesize that patients seeking treatments at the emergency department (ED) due to COVID-19 or influenza infection will have similar severity levels of features on chest X-rays, with most of them demonstrating normal to mildly abnormal chest X-ray findings. Methods Chest X-ray images of 312 COVID-19 patients and 312 influenza patients were obtained from the teaching files of a general diagnostic radiologist. Images from each of these two groups were reviewed and classified. Based on the severity levels of lung abnormalities, each image was categorized into one of four categories: normal, mildly abnormal, moderately abnormal, or severely abnormal. The total number of images in each category within each disease group was counted, and the percentage was calculated compared to the total number of images analyzed in that group. Results from both groups were then compared. Results The severity levels of chest X-ray abnormalities were similar between the COVID-19 group and the COVID-negative influenza group at the time of ED visits, with most images being normal or mildly abnormal. The percentages of the images categorized as normal, mildly abnormal, moderately abnormal, and severely abnormal in the COVID-19 group and the influenza group were 38-39%, 28-29%, 22-21%, and 12-11%, respectively. Conclusion Our findings suggest that in the ED setting, no distinction can be made between COVID-19 and Influenza infections if based just on chest X-rays.
新型冠状病毒肺炎(COVID-19)和流感主要是呼吸道疾病,大多数患者症状相似,病情为轻至中度,胸部X光表现也相似。我们推测,因COVID-19或流感感染到急诊科(ED)就诊的患者,其胸部X光特征的严重程度相似,大多数患者的胸部X光检查结果正常至轻度异常。方法:从一位普通诊断放射科医生的教学档案中获取312例COVID-19患者和312例流感患者的胸部X光图像。对这两组图像进行审查和分类。根据肺部异常的严重程度,将每张图像分为四类之一:正常、轻度异常、中度异常或重度异常。计算每个疾病组中每类图像的总数,并计算其占该组分析图像总数的百分比。然后比较两组结果。结果:在急诊科就诊时,COVID-19组和COVID阴性流感组的胸部X光异常严重程度相似,大多数图像正常或轻度异常。COVID-19组和流感组中分类为正常、轻度异常、中度异常和重度异常的图像百分比分别为38 - 39%、28 - 29%、22 - 21%和12 - 11%。结论:我们的研究结果表明,在急诊科环境中,仅根据胸部X光无法区分COVID-19和流感感染。