Tana Claudio, Mantini Cesare, Cipollone Francesco, Giamberardino Maria Adele
COVID-19 Medicine Unit and Geriatrics Clinic, "SS Annunziata" Hospital of Chieti, 66100 Chieti, Italy.
Department of Neuroscience, Imaging and Clinical Sciences, Institute of Radiology,"SS. Annunziata" Hospital of Chieti, "G. D'Annunzio" University of Chieti, 66100 Chieti, Italy.
Diagnostics (Basel). 2021 Jan 27;11(2):183. doi: 10.3390/diagnostics11020183.
The recent COVID-19 pandemic has dramatically changed the world in the last months, leading to a serious global emergency related to a novel coronavirus infection that affects both sexes of all ages ubiquitously. Advanced age, cardiovascular comorbidity, and viral load have been hypothesized as some of the risk factors for severity, but their role in patients affected with other diseases, in particular immune disorders, such as sarcoidosis, and the specific interaction between these two diseases remains unclear. The two conditions might share similar imaging findings but have distinctive features that are here described. The recent development of complex imaging softwares, called deep learning techniques, opens new scenarios for the diagnosis and management.
最近的新冠疫情在过去几个月里极大地改变了世界,引发了一场与新型冠状病毒感染相关的严重全球紧急情况,这种感染普遍影响着所有年龄段的男女。高龄、心血管合并症和病毒载量被认为是病情严重程度的一些风险因素,但它们在患有其他疾病(特别是免疫紊乱,如结节病)的患者中的作用,以及这两种疾病之间的具体相互作用仍不清楚。这两种病症可能有相似的影像学表现,但也有独特的特征,在此予以描述。称为深度学习技术的复杂成像软件的最新发展为诊断和管理开辟了新的前景。