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Published: 2022-08-31
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DOI: https://doi.org/10.52852/tcncyh.v156i8.951
Issue
Vol. 156 No. 8 (2022)
Section
Các bài báo
How to Cite
Đức, P. H., Giang, Đỗ T. ., Sơn, N. K., Giang, Đoàn T., & Tuấn, L. M. (2022). 5. Manifestations of lung lesions on ct scan in early stage covid-19 patients by age group. Journal of Medical Research, 156(8), 35-42. https://doi.org/10.52852/tcncyh.v156i8.951

5. Manifestations of lung lesions on ct scan in early stage covid-19 patients by age group

Pham Hong Duc1, Do Truong Giang, Nguyen Kim Son, Doan Thi Giang, Luong Minh Tuan
1 Trường ĐHYHN

Main Article Content

Abstract

The study  was conducted to describe the characteristics and severity of lung lesions  by age group (< 18; 18 - 59, and ≥ 60 years old), on 197 COVID-19 patients  tested positive by RT-PCR method. The mean age of the patient was 38.7 ± 17.7 years (range 3 - 94 years). On CT, the most common lesions are opacified ground-glass without / with solidification. Uncommon lesions include subpleural fibrous band, vasodilatation, pneumothorax, bronchial wall thickening, paving stones, reversible halo sign, and cavernous lesions. The lesion distribution is mainly in the periphery and the posterior part and both sides of the lung. The mean score of severity on chest CT was 4.68. The  elderly  patients had  more commonly seen ground-glass opacity bilateral lung lesions , and the mean scores of severity on CT was high. Therefore, CT scan is necessary to have a timely plan of treatment for elderly people who show symptoms of Covid-19 infection in the early stages.

Article Details

Keywords

Age groups; COVID-19; Computed tomography; Pneumonia

References

1. Chen ZM, Fu JF, Shu Q, et al. Diagnosis and treatment recommendations for pediatric respiratory infection caused by the 2019 novel coronavirus. World J Pediatr. Published online February 5, 2020: 1-7. doi: 10.1007/s12519-020-00345-5.
2. Pan F, Ye T, Sun P, et al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020; 295(3): 715-721. doi: 10.1148/radiol.2020200370.
3. Ojha V, Mani A, Pandey NN, Sharma S, Kumar S. CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients. Eur Radiol. Published online May 30, 2020: 1-10. doi:10.1007/s00330-020-06975-7.
4. Chen Z, Fan H, Cai J, et al. High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages. Eur J Radiol. 2020; 126: 108972. doi:10.1016/j.ejrad.2020.108972
5. Sultan OM, Alghazali DM, Al-Tameemi H, et al. Pattern and Age Distribution of COVID-19 on Pulmonary Computed Tomography. Curr Med Imaging. 2021; 17(6): 775-780. doi:10.2174/1573405616666201223144539.
6. Li K, Wu J, Wu F, et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol. Published online 2020:10.1097/RLI.0000000000000672. doi:10.1097/RLI.0000000000000672.
7. Francone M, Iafrate F, Masci GM, et al. Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. Eur Radiol. Published online July 4, 2020: 1-10. doi: 10.1007/s00330-020-07033-y.
8. Liu K, Chen Y, Lin R, Han K. Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients. J Infect. 2020;80(6):e14-e18. doi:10.1016/j.jinf.2020.03.005.
9. Gómez-Belda AB, Fernández-Garcés M, Mateo-Sanchis E, et al. COVID-19 in older adults: What are the differences with younger patients? Geriatr Gerontol Int. 2021; 21(1): 60-65. doi:10.1111/ggi.14102.