Background: Coronavirus (COVID-19) pneumonia emerged in Wuhan, China, in December 2019. It was highly contagious spreading all over the world, with a rapid increase in the number of deaths. COVID-19 is characterized by fever, fatigue, dry cough, and dyspnea with variable chest imaging features which have been detected. In our study, we shared our experience of CT findings in proven cases of COVID-19 to recognize the different CT patterns to help in proper and accurate diagnosis. Results: The most common CT features detected in COVID-19 cases were ground glass patches (93.3%) followed by subpleural linear abnormality (53.3%), air bronchogram (23.3%), and consolidation patches (23.3%), as well as bronchial wall thickening (16.7%), crazy paving pattern (13.3%), and discrete nodules surrounded by ground glass appearance (10%). Only one case had pleural effusion (3.3%). No cavitary lesions or specific lymph nodes were detected in any of the examined patients. The lung lesions showed typical diffuse, basal, and subpleural involvement with less affection of the upper lobes. Conclusion: CT imaging findings of COVID-19 can help in early and accurate diagnosis of COVID-19 and proper assessment of the severity of the disease.

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Background The ongoing global pandemic of coronavirus disease 2019 (COVID-19) may cause, in addition to lung disease, a wide spectrum of non-respiratory complications. Among these are thromboembolic complications. The theories that explain the mechanism of thromboembolic complications of COVID-19 are accumulating rapidly, and in addition to the role of imaging for assessment of COVID-19 pneumonia, CT may be useful for identification of these complications, such as pulmonary embolism, ischaemic stroke, mesenteric ischaemia, and acro-ischaemia. Results Thromboembolic manifestations were diagnosed in 10% of our patients (124 patients out of the total 1245 COVID-19 patients); 56 patients (45.2%) presented with pulmonary embolism, 32 patients (25.8%) presented with cerebrovascular manifestations, 17 patients (13.7%) presented with limb affection, and 19 patients (15.3%) presented with gastrointestinal thromboembolic complications. Most of our patients had significant comorbidities; diabetes was found in 72 patients (58%), dyslipidemia in 72 patients (58%), smoking in 71 patients (57.3%), hypertension in 63 patients (50.8%), and morbid obesity in 40 patients (32.2%). Thromboembolic events were diagnosed on admission in 41 patients (33.1%), during the first week in 61 patients (49.2%), and after the first week in 22 patients (17.7%). Conclusions The incidence of thromboembolic complications in COVID-19 patients is relatively high resulting in a multisystem thrombotic disease. In addition to the crucial role of imaging for assessment of COVID-19 pneumonia, CT is important for assessment of the thromboembolic complications, such as pulmonary embolism, ischaemic stroke, mesenteric ischaemia, and peripheral ischaemia, especially in patients with elevated d-dimer levels and those with sudden clinical deterioration.

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Background Coronavirus (COVID-19) pneumonia emerged in Wuhan, China, in December 2019. It was highly contagious spreading all over the world, with a rapid increase in the number of deaths. The reported cases have reached more than 14 million with more than 600,000 deaths around the world. So, the pandemic of COVID-19 became a surpassing healthcare crisis with an intensive load on the healthcare resources. In this study, the aim was to differentiate COVID-19 pneumonia from its mimickers as atypical infection, interstitial lung diseases, and eosinophilic lung diseases based on CT, clinical, and laboratory findings. Results This retrospective study included 260 patients, of which 220 were confirmed as COVID-19 positive by two repeated RT-PCR test and 40 were classified as non-COVID by two repeated negative RT-PCR test or identification of other pathogens, other relevant histories, or clinical findings. In this study, 158 patients were male (60.7 %) and 102 patients were female (39.3%). There was 60.9% of the COVID-19 group were male and 39.1% were female. Patients in the non-COVID group were significantly older (the mean age was 46.4) than those in the confirmed COVID-19 group (35.2y). In the COVID-19 group, there was exposure history to positive cases in 84.1% while positive exposure history was 20% in the non-COVID group. Conclusion The spectrum of CT imaging findings in COVID-19 pneumonia is wide that could be contributed by many other diseases making the interpretation of chest CTs nowadays challenging to differentiate between different diseases having the same signs and act as deceiving simulators in the era of COVID-19.