Maino Cesare, Franco Paolo Niccolò, Talei Franzesi Cammillo, Giandola Teresa, Ragusi Maria, Corso Rocco, Ippolito Davide
Department of Diagnostic Radiology, IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, Italy.
School of Medicine, University of Milano Bicocca, Via Cadore 33, 20090 Monza, Italy.
Diagnostics (Basel). 2023 May 26;13(11):1856. doi: 10.3390/diagnostics13111856.
During the waves of the coronavirus disease (COVID-19) pandemic, emergency departments were overflowing with patients suffering with suspected medical or surgical issues. In these settings, healthcare staff should be able to deal with different medical and surgical scenarios while protecting themselves against the risk of contamination. Various strategies were used to overcome the most critical issues and guarantee quick and efficient diagnostic and therapeutic charts. The use of saliva and nasopharyngeal swab Nucleic Acid Amplification Tests (NAAT) in the diagnosis of COVID-19 was one of the most adopted worldwide. However, NAAT results were slow to report and could sometimes create significant delays in patient management, especially during pandemic peaks. On these bases, radiology has played and continues to play an essential role in detecting COVID-19 patients and solving differential diagnosis between different medical conditions. This systematic review aims to summarize the role of radiology in the management of COVID-19 patients admitted to emergency departments by using chest X-rays (CXR), computed tomography (CT), lung ultrasounds (LUS), and artificial intelligence (AI).
在新冠疫情期间,急诊科挤满了患有疑似内科或外科疾病的患者。在这些情况下,医护人员应能够应对不同的内科和外科情况,同时保护自己免受污染风险。人们采用了各种策略来克服最关键的问题,并确保快速有效的诊断和治疗流程。在全球范围内,使用唾液和鼻咽拭子核酸扩增检测(NAAT)诊断新冠是最常用的方法之一。然而,NAAT结果报告缓慢,有时会导致患者治疗出现显著延迟,尤其是在疫情高峰期。基于这些情况,放射学在检测新冠患者以及解决不同疾病的鉴别诊断方面已经并将继续发挥重要作用。本系统综述旨在总结放射学通过胸部X线(CXR)、计算机断层扫描(CT)、肺部超声(LUS)和人工智能(AI)在急诊科收治的新冠患者管理中的作用。