Imaging features of 2019 novel coronavirus pneumonia

Xu, Xi; Yu, Chengcheng; Zhang, Lieguang; Luo, Lixia; Liu, Jinxin

doi:10.1007/s00259-020-04720-2

Cited by 44 publications

(38 citation statements)

References 2 publications

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“…[27]. In the current case reports, the CT images of these patients showed the same pattern of change [26,29,[31][32][33]35,37]. One of the most representative cases is the CT change in a 44-year-old transportation staff of the Huanan seafood market in Wuhan.…”

Section: Imaging Features At Different Stagesmentioning

confidence: 83%

“…One study reviewed the recent literature to synthesize the findings of 233 patients infected with COVID-19, and all studies showed consistent findings, with GGO and consolidation being the most common findings on CT [23]. In other reports, CT images of these patients showed the same typical imaging feature [29][30][31][32][33][34][35][36][37]. It is not difficult to see that the CT of patients with COVID-19 has special characteristics, with the predominant features outlined as follows: (1) single or multiple GGO, which is mainly a subpleural distribution; (2) crazy paving; (3) patchy GGO with segmental pulmonary consolidation; (4) pulmonary consolidation [38,39].…”

Section: Typical Imaging Features Of Covid-19mentioning

confidence: 96%

“…So far, only seven case series [18,[23][24][25][26][27][28] and some case reports [29][30][31][32][33][34][35][36][37] have investigated the chest CT imaging features of COVID-19 pneumonia. According to these reports, patients with COVID-19 can show typical imaging features at the early stages of the disease.…”

Section: Typical Imaging Features Of Covid-19mentioning

confidence: 99%

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Diagnostic value and key features of computed tomography in Coronavirus Disease 2019

Wang

et al. 2020

Emerging Microbes & Infections

122

104

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On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 . To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice.

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Section: Imaging Features At Different Stagesmentioning

confidence: 83%

Section: Typical Imaging Features Of Covid-19mentioning

confidence: 96%

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Diagnostic value and key features of computed tomography in Coronavirus Disease 2019

Wang

et al. 2020

Emerging Microbes & Infections

122

104

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“…Patients in the first and second phase of the epidemic were older, more likely to be male, and likely to have exposure to the seafood market. Clinically, they had more bilateral patchy shadows, or ground glass opacity in the lungs [13,21,29,[33][34][35][36]. In addition, the mortality rate of the first and second phases of the epidemic was 4.3-15% and thus significantly higher than the 1.36% determined for the later phase of the epidemic [13,21,29,33,34].…”

Section: Clinical Phenotype Of Covid-19mentioning

confidence: 91%

COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

Sun

Wang

et al. 2020

Trends in Molecular Medicine

580

526

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“…However, the false negative cases of nucleic acid testing lead to lots of omission diagnosis cases, which raises the risk of spreading [12]. The CT imaging is also applied for the diagnosis of COVID-19 in patients with pneumonia [13,14]. The radiological finding, i.e., ground-glass opacity, is the typical symptoms on CT [15,16].…”

Section: Introductionmentioning

confidence: 99%

CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study

Fang

et al. 2020

Sci. China Inf. Sci.

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The coronavirus disease 2019 is raging across the world. The radiomics, which explores huge amounts of features from medical image for disease diagnosis, may help the screen of the COVID-19. In this study, we aim to develop a radiomic signature to screen COVID-19 from CT images. We retrospectively collect 75 pneumonia patients from Beijing Youan Hospital, including 46 patients with COVID-19 and 29 other types of pneumonias. These patients are divided into training set (n = 50) and test set (n = 25) at random. We segment the lung lesions from the CT images, and extract 77 radiomic features from the lesions. Then unsupervised consensus clustering and multiple cross-validation are utilized to select the key features that are associated with the COVID-19. In the experiments, while twenty-three radiomic features are found to be highly associated with COVID-19, four key features are screened and used as the inputs of support vector machine to build the radiomic signature. We use area under the receiver operating characteristic curve (AUC) and calibration curve to assess the performance of our model. It yields AUCs of 0.862 and 0.826 in the training set and the test set respectively. We also perform the stratified analysis and find that its predictive ability is not affected by gender, age, chronic disease and degree of severity. In conclusion, we investigate the value of radiomics in screening COVID-19, and the experimental results suggest the radiomic signature could be a potential tool for diagnosis of COVID-19.

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Imaging features of 2019 novel coronavirus pneumonia

Cited by 44 publications

References 2 publications

Diagnostic value and key features of computed tomography in Coronavirus Disease 2019

Diagnostic value and key features of computed tomography in Coronavirus Disease 2019

COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study

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