Analysis of the initial chest high resolution CT manifestations of COVID-19 / 中华放射学杂志
Chinese Journal of Radiology
;
(12): 292-295, 2020.
Article
in Chinese
| WPRIM
| ID: wpr-868293
ABSTRACT
Objective:
To investigate the initial chest high resolution CT (HRCT) manifestations of the patients with COVID-19.Methods:
A retrospective analysis of the first chest HRCT images of 106 patients with COVID-19 was performed who were confirmed in our hospital from January 3 to 25, 2020. Lesion distribution, morphology and surrounding involvement were analyzed.Results:
The lesions were found on all initial HRCT images of 106 patients, with unilateral lung distribution in 11 cases (10.4%) and bilateral lung distribution in other 95 cases(89.6%), peripheral distribution of lung in 65 cases (61.3%) and peripheral and central distribution in other 41 cases (38.7%). HRCT showed 8 cases (7.5%) with 1 lesion, 5 cases (4.7%) with 2 lesions, and other 93 cases (87.8%) with multiple lesions. HRCT also showed the nodular lesions in 12 cases(11.3%), ground-glass opacities in 94 cases (88.7%), fibrous stripes in 7 cases (6.6%), and mixed lesions in 15 cases (14.2%). Only one lung lobe was involved in 10 cases (9.4%) , while more than two lobes were involved in other 96 cases (90.6%) . In addition, 24 cases (22.6%) with enlarged mediastinal lymph nodes (over 60 years old in 19 cases, accounting for 79.2%), 3 cases with pleural effusion (2.8 %), 1 case with pericardial effusion (0.9%), and 2 cases with pleural involvement/thickening (1.9%) were found. Patients over 60 years old mostly presented with multiple lesions, various appearances, peripheral and central distributions of lungs, involving multiple lobes, and enlarged mediastinal lymph nodes.Conclusions:
Lung COVID-19 lesions can be shown by the initial chest HRCT, which is the preferred imaging method. Thoracic HRCT scans play an important role in the early diagnosis of COVID-19.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Screening study
Language:
Chinese
Journal:
Chinese Journal of Radiology
Year:
2020
Type:
Article
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