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A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age.
J Xray Sci Technol. 2020; 28(5):875-884.JX

Abstract

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.

Authors+Show Affiliations

Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.Department of Radiology, Xiangtan Central Hospital, Xiangtan, China.Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.Department of Radiology, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

32804112

Citation

Gu, Qianbiao, et al. "A Retrospective Study of the Initial Chest CT Imaging Findings in 50 COVID-19 Patients Stratified By Gender and Age." Journal of X-ray Science and Technology, vol. 28, no. 5, 2020, pp. 875-884.
Gu Q, Ouyang X, Xie A, et al. A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age. J Xray Sci Technol. 2020;28(5):875-884.
Gu, Q., Ouyang, X., Xie, A., Tan, X., Liu, J., Huang, F., & Liu, P. (2020). A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age. Journal of X-ray Science and Technology, 28(5), 875-884. https://doi.org/10.3233/XST-200709
Gu Q, et al. A Retrospective Study of the Initial Chest CT Imaging Findings in 50 COVID-19 Patients Stratified By Gender and Age. J Xray Sci Technol. 2020;28(5):875-884. PubMed PMID: 32804112.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age. AU - Gu,Qianbiao, AU - Ouyang,Xin, AU - Xie,An, AU - Tan,Xianzheng, AU - Liu,Jianbin, AU - Huang,Feng, AU - Liu,Peng, PY - 2020/8/18/pubmed PY - 2020/10/21/medline PY - 2020/8/18/entrez KW - COVID-19 KW - SARS-CoV-2 KW - X-ray computed tomography KW - analysis of CT imaging findings KW - novel coronavirus-infected pneumonia SP - 875 EP - 884 JF - Journal of X-ray science and technology JO - J Xray Sci Technol VL - 28 IS - 5 N2 - 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. SN - 1095-9114 UR - https://www.unboundmedicine.com/medline/citation/32804112/A_retrospective_study_of_the_initial_chest_CT_imaging_findings_in_50_COVID_19_patients_stratified_by_gender_and_age_ L2 - https://content.iospress.com/openurl?genre=article&amp;id=doi:10.3233/XST-200709 DB - PRIME DP - Unbound Medicine ER -