Open AccessA retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age
Author(s) -
Qianbiao Gu,
Xin Ouyang,
An Xie,
Xian-Zheng Tan,
Jianbin Liu,
Feng Huang,
Peng Liu
Publication year - 2020
Publication title -
journal of x-ray science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
eISSN - 1095-9114
pISSN - 0895-3996
DOI - 10.3233/xst-200709
Subject(s) - medicine , ground glass opacity , covid-19 , radiology , concomitant , retrospective cohort study , lesion , pathology , disease , adenocarcinoma , cancer , infectious disease (medical specialty)
OBJECTIVE: To retrospectively analyze and stratify the initial clinical features and chest CT imaging findings of patients with COVID-19 by gender and age. METHODS: Data of 50 COVID-19 patients were collected in two hospitals. The clinical manifestations, laboratory examination and chest CT imaging features were analyzed, and a stratification analysis was performed according to gender and age [younger group: <50 years old, elderly group ≥50 years old]. RESULTS: Most patients had a history of epidemic exposure within 2 weeks (96%). The main clinical complaints are fever (54%) and cough (46%). In chest CT images, ground-glass opacity (GGO) is the most common feature (37/38, 97%) in abnormal CT findings, with the remaining 12 patients (12/50, 24%) presenting normal CT images. Other concomitant abnormalities include dilatation of vessels in lesion (76%), interlobular thickening (47%), adjacent pleural thickening (37%), focal consolidation (26%), nodules (16%) and honeycomb pattern (13%). The lesions were distributed in the periphery (50%) or mixed (50%). Subgroup analysis showed that there was no difference in the gender distribution of all the clinical and imaging features. Laboratory findings, interlobular thickening, honeycomb pattern and nodules demonstrated remarkable difference between younger group and elderly group. The average CT score for pulmonary involvement degree was 5.0±4.7. Correlation analysis revealed that CT score was significantly correlated with age, body temperature and days from illness onset (p < 0.05). CONCLUSIONS: COVID-19 has various clinical and imaging appearances. However, it has certain characteristics that can be stratified. CT plays an important role in disease diagnosis and early intervention.