Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study.

By Wei Zhao, Zheng Zhong, Xingzhi Xie, Qizhi Yu, Jun Liu. AJR. American journal of roentgenology, 2020

1,108 citations recorded by the source corpus.

OBJECTIVE. The increasing number of cases of confirmed coronavirus disease (COVID-19) in China is striking. The purpose of this study was to investigate the relation between chest CT findings and the clinical conditions of COVID-19 pneumonia. MATERIALS AND METHODS. Data on 101 cases of COVID-19 pneumonia were retrospectively collected from four institutions in Hunan, China. Basic clinical characteristics and detailed imaging features were evaluated and compared between two groups on the basis of clinical status: nonemergency (mild or common disease) and emergency (severe or fatal disease). RESULTS. Patients 21-50 years old accounted for most (70.2%) of the cohort, and five (5.0%) patients had disease associated with a family outbreak. Most patients (78.2%) had fever as the onset symptom. Most patients with COVID-19 pneumonia had typical imaging features, such as ground-glass opacities (GGO) (87 [86.1%]) or mixed GGO and consolidation (65 [64.4%]), vascular enlargement in the lesion (72 [71.3%]), and traction bronchiectasis (53 [52.5%]). Lesions present on CT images were more likely to have a peripheral distribution (88 [87.1%]) and bilateral involvement (83 [82.2%]) and be lower lung predominant (55 [54.5%]) and multifocal (55 [54.5%]). Patients in the emergency group were older than those in the non-emergency group. Architectural distortion, traction bronchiectasis, and CT involvement score aided in evaluation of the severity and extent of the disease. CONCLUSION. Patients with confirmed COVID-19 pneumonia have typical imaging features that can be helpful in early screening of highly suspected cases and in evaluation of the severity and extent of disease. Most patients with COVID-19 pneumonia have GGO or mixed GGO and consolidation and vascular enlargement in the lesion. Lesions are more likely to have peripheral distribution and bilateral involvement and be lower lung predominant and multifocal. CT involvement score can help in evaluation of the severity and extent of the disease.

Subfields: Critical Care and Intensive Care Medicine, Infectious Diseases, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/2f63918647d322b1de8bf91bff387349a7aac799

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiology, Nuclear Medicine and Imaging

1. D. Jude Hemanth
2. Meenu Gupta
3. Soham Taneja
4. Jun Xia
5. Guang Yang
6. Rachna Jain

Citations in the corpus

• COVID‐19 and Older Adults: What We Know (2020, background): “5%).(18) Comparatively, chest radiograph findings in older adults showed bilateral reticular-nodular opacities (58%), GGOs (48%), pleural effusions (about 33%), peribronchial thickening (about 25%), and focal consolidations (20%).”
• Deep learning based detection and analysis of COVID-19 on chest X-ray images (2020, background): “Finally, in [44], they discussed the impact of Covid-19 on humans.”
• Automated detection of COVID-19 cases using deep neural networks with X-ray images (2020, neutral): “Zhao et al. [16] not only found ground-glass opacities (GGO) or mixed GGO in most of the patients, but they also observed a consolidation, and vascular dilation in the lesion.”
• Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images (2020, methodology): “From the previous findings using CT [25]–[27], it is known that infections of COVID-19 share the similar and common radiographic features as CAP, such as GGO and airspace”
• AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app (2020, background): “To this end, the medical researcher in our team began by analyzing in-depth the pathomorphological changes caused by COVID-19 in respiratory system by examining the data reported in numerous recent X-rays [13], [18]–[20] and CTscans based studies [14], [21], [22] of COVID-19 patients.”
• The Role of Imaging in the Detection and Management of COVID-19: A Review (2020, result): “Similar features and enlargement of vascular were also reported in Zhao et al’s study [28].”