Citation: | LIU R, WU T T, GOU S B, et al. Correlation Analysis between Dynamic Changes in Computed Tomography Findings and Clinical Outcomes in Cases Infected with Different Strains of Coronavirus Disease 2019[J]. CT Theory and Applications, 2023, 32(5): 627-635. DOI: 10.15953/j.ctta.2023.059. (in Chinese). |
[1] |
World Health Organization. Tracking SARS-CoV-2 variants[EB/OL]. (2021-12-06)[2021-12-09]. https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/.
|
[2] |
RAMAN R, PATEL K J, RANJAN K. COVID-19: Unmasking emerging SARS-CoV-2 variants, vaccines and therapeutic strategies[J]. Biomolecules, 2021, 11(7): 993. doi: 10.3390/biom11070993
|
[3] |
张影, 李晓鹤, 陈凤, 等. 新型冠状病毒德尔塔和奥密克戎变异株感染患者的临床特征分析[J]. 新发传染病电子杂志, 2022,7(3): 22−26. DOI: 10.19871/j.cnki.xfcrbzz.2022.03.005.
ZHANG Y, LI X H, CHEN F, et al. Clinical characteristics of patients infected with SARS-CoV-2 Delta and Omicron variants[J]. Electronic Journal of Emerging Infectious Diseases, 2022, 7(3): 22−26. DOI: 10.19871/j.cnki.xfcrbzz.2022.03.005. (in Chinese).
|
[4] |
ARAF Y, AKTER F, TANG Y D, et al. Omicron variant of SARS-CoV-2: Genomics, transmissibility, and responses to current COVID-19 vaccines[J]. Journal of Medical Virology, 2022, 94(5): 1825−1832. doi: 10.1002/jmv.27588
|
[5] |
GUAN C S, LV Z B, LI J J, et al. CT appearances, patterns of progression, and follow-up of COVID-19: Evaluation on thin-section CT[J]. Insights into Imaging, 2021, 12: 73. doi: 10.1186/s13244-021-01019-0
|
[6] |
国家卫生健康委员会. 《新型冠状病毒感染的肺炎诊疗方案》试行(第九版)[EB/OL]. [2022-03-15]. http://www.nhc.gov.cn/xcs/zhengcwj/.
|
[7] |
HANSELL D M, BANKIER A A, MACMAHON H, et al. Fleischner society: Glossary of terms for thoracic imaging[J]. Radiology, 2008, 246(3): 697−722. DOI: 10.1148/radiol.2462070712.
|
[8] |
FANG Y C, ZHANG H Q, XIE J C, et al. Sensitivity of chest CT for COVID-19: Comparison to RT-PCR[J]. Radiology, 2020, (2): 200432−7.
|
[9] |
中华医学会放射学分会传染病学组, 中国医师协会放射医师分会感染影像专委会, 中国研究型医院学会感染与炎症放射专委会, 等. 新型冠状病毒感染的肺炎影像学诊断指南(2020 第二版)[J]. 首都医科大学学报, 2020,41(2): 168−173. doi: 10.3969/j.issn.1006-7795.2020.02.004
Committee of the Infectious Diseases Radiology Group of Chinese Society of Radiology, Committee of the Infectious Diseases Radiology Section of Chinese Medical Doctor Association, Infectious Disease Imaging Group, Infectious Disease Branch, Chinese Research Hospital Association, et al. Guideline for imaging diagnosis of novel corona virus (2019-nCoV) infected pneumonia (2st edition 2020)[J]. Journal of Capital Medical University, 2020, 41(2): 168−173. (in Chinese). doi: 10.3969/j.issn.1006-7795.2020.02.004
|
[10] |
FENG Z C, YU Q Z, Y S H, et al. Early prediction of disease progression in 2019 novel corona virus pneumonia patients out-side wuhan with CT and clinical characteristics[EB/OL]. ( 2020-02-23). https://www.medrxiv.Org/content/10.1101/2020.02.19.20025296v1.
|
[11] |
黄璐, 韩瑞, 于朋鑫, 等. 新型冠状病毒肺炎不同临床分型间CT和临床表现的相关性研究[J]. 中华放射学杂志, 2020,54: 1005−201.
|
[12] |
HUANG C, WANG Y, LI X, et al. Clinical features of patients infected with 2019 novel corona virus in Wuhan, China[J]. Lancet, 2020, (20): 30183−5.
|
[13] |
刘茜, 王荣帅, 屈国强, 等. 新型冠状病毒肺炎死亡尸体系统解剖大体观察报告[J]. 法医学杂志, 2020,36(1): 21−23. doi: 10.12116/j.issn.1004-5619.2020.01.005
|
[14] |
NG M Y, LEE E Y P, YANNG J, et al. Imaging profile of the COVID-19 infection: Radiologic findings and literature review[J]. Radiology, 2020, 2(1): 1−9.
|
[15] |
车宏伟, 张晓琴, 柴军, 等. 新型冠状病毒肺炎临床表现及CT影像学分析[J]. CT理论与应用研究, 2021,30(4): 525−532. DOI: 10.15953/j.1004-4140.2021.30.04.14.
CHE H W, ZHANG X Q, CHAI J, et al. Clinical manifestations and CT imaging analysis of corona virus disease 2019[J]. CT Theory and Applications, 2021, 30(4): 525−532. DOI: 10.15953/j.1004-4140.2021.30.04.14. (in Chinese).
|
[16] |
PAN F, YE T, SUN P, et al. Time course of lung changes at chest CT during recovery from corona virus disease 2019 (COVID-19)[J]. Radiology, 2020, 295(3): 715−721. doi: 10.1148/radiol.2020200370
|
[17] |
KANNE J P. Chest CT findings in 2019 novel corona virus (2019-nCoV) infections from Wuhan, China: Key points for the radiologist[J]. Radiology, 2020, 295(1): 16−17. doi: 10.1148/radiol.2020200241
|
[18] |
向颖, 杨全新, 孙泓泓, 等. 新型冠状病毒肺炎患者胸部CT表现及动态演变[J]. 南方医科大学学报, 2020,40(3): 327−332.
XIANG Y, YANG Q X, SUN H H, et al. Chest CT findings and their dynamic changes in patients with COVID-19[J]. Journal Southern Medical University, 2020, 40(3): 327−332. (in Chinese).
|
[19] |
YU M, LIU Y, XU D, et al. Prediction of the development of pulmonary fibrosis using serial thin-section CT and clinical features in patients discharged after treatment for COVID-19 pneumonia[J]. Korean Journal of Radiology, 2020, 21(6): 746−755.
|
[20] |
李秀梅, 刘伟, 常然, 等. 新型冠状病毒肺炎影像演变规律及肺纤维化危险因素[J]. 中国医学影像学杂志, 2022,30(1): 29−34.
LI X M, LIU W, CHANG R, et al. Patterns of pulmonary image evolution and the risk factors of pulmonary fibrosis in patients with COVID-19[J]. Chinese Journal of Medical Imaging, 2022, 30(1): 29−34. (in Chinese).
|