Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CT
Open accessAbstract
Purpose To investigate the dynamic evolution of image features of COVID-19 patients appearing as a solitary lesion at initial chest CT scan.Materials and methods Twenty-two COVID-19 patients with solitary pulmonary lesion from three hospitals in China were enrolled from January 18, 2020 to March 18, 2020. The clinical feature and laboratory findings at first visit, as well as characteristics and dynamic evolution of chest CT images were analyzed. Among them, the CT score evaluation was the sum of the lung involvement in five lobes (0-5 points for each lobe, with a total score ranging from 0 to 25).Results 22 COVID-19 patients (11 males and 11 females, with an average age of 40.7 ± 10.3) developed a solitary pulmonary lesion within 4 days after the onset of symptoms, the peak time of CT score was about 11 days (with a median CT score of 6), and was discharged about 19 days. The peak of CT score was positively correlated with the peak time and the discharge time (p < 0.001, r = 0.793; p < 0.001, r = 0.715). Scan-1 (first visit): 22 cases (100%) showed GGO and one lobe was involved, CT score was 1.0/1.0 (median/IQR). Scan-2 (peak): 15 cases (68%) showed crazy-paving pattern, 19 cases (86%) showed consolidation, and 2.5 lobes were involved, CT score was 6.0/12.0. Scan-3 (before discharge): ten cases (45%) showed linear opacities, none had crazy-paving pattern, and 2.5 lobes were involved, CT score was 6.0/11.0. Scan-4 (after discharge): three cases (19%) showed linear opacities and one lobe was involved, CT score was 2.0/5.0.Conclusion The chest CT features are related to the course of COVID-19 disease, and dynamic chest CT scan are helpful to monitor disease progress and patients' condition. In recovered patients with COVID-19, the positive CT manifestations were found within 4 days, lung involvement peaking at approximately 11 days, and discharged at about 19 days. The patients with more severe the lung injury was, the later the peak time appeared and the longer the recovery time was. Although the lesion was resolved over time, isolation and reexamination were required after discharge.
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The COVID-19 pandemic increased the number of COVID-19-related studies from Japan, with a significant increase in such research focusing on AI.
“Furthermore, owing to the coronavirus disease 2019 (COVID-19) pandemic, the number of COVID-19-related studies from Japan has increased [54–61], with a significant increase in such research focusing on AI [62–64].”
From Fairness of artificial intelligence in healthcare: review and recommendations (2024) · cites this paper as [59]
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References 26 · Cited by 7
- Authors
- Zhuang, Y., Lin, L., Xu, X., Xia, T., Yu, H., Fu, G., Yang, Y., Wang, M., & Sun, H.
- Affiliations
- First Affiliated Hospital of Wenzhou Medical University (CN)
- China Resources (China) (CN)
- Corresponding author
- Sun, Houzhang
- Venue
- Japanese Journal of Radiology
- Published
- 2020-09-04
- Volume
- 39
- Issue
- 1
- Pages
- 32-39
- ISSN
- 1867-1071 (ISSN-L)
- 1867-108X
- PMC
- PMC7471640
- OpenAlex
- W3081841178
- Cited by
- 7
- References
- 26
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 3
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Japanese Journal of Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- The Science and Technology Planning Projects of Wenzhou (No. Y20180769)
- Health Foundation for Creative Talents in Zhejiang Province, China
- Project Foundation for the College Young and Middle-aged Academic Leader of Zhejang Province, China
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, solitary pulmonary lesions, chest CT, CT score, ground-glass opacities, crazy-paving pattern, consolidation, linear opacities, clinical course, disease progression monitoring, pulmonary involvement, recovery time, COVID-19 pneumonia, disease severity prediction, prognostic factors
- MeSH terms
- COVID-19, SARS-CoV-2, Adult, China, Solitary Pulmonary Nodule, Female, Humans, Lung, Male, Middle Aged, Retrospective Studies, Tomography, X-Ray Computed, Disease Progression, Young Adult
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