Literature DB >> 32391664

[CT imaging features of patients with different clinical types of COVID-19].

Qi Zhong1,2, Zhi Li1, Xiaoyong Shen1, Kaijin Xu3, Yihong Shen4, Qiang Fang5, Feng Chen1, Tingbo Liang6.   

Abstract

OBJECTIVE: To investigate the CT findings of patients with different clinical types of coronavirus disease 2019 (COVID-19).
METHODS: A total of 67 patients diagnosed as COVID-19 by nucleic acid testing were collected and divided into 4 groups according to the clinical stages based on Diagnosis and treatment of novel coronavirus pneumonia (trial version 6). The CT imaging characteristics were analyzed among patients with different clinical types.
RESULTS: Among 67 patients, 3(4.5%) were mild, 35 (52.2%) were moderate, 22 (32.8%) were severe, and 7(10.4%) were critical ill. No significant abnormality in chest CT imaging in mild patients. The 35 cases of moderate type included 3 (8.6%) single lesions, the 22 cases of severe cases included 1 (4.5%) single lesion and the rest cases were with multiple lesions. CT images of moderate patients were mainly manifested by solid plaque shadow and halo sign (18/35, 51.4%); while fibrous strip shadow with ground glass shadow was more frequent in severe cases (7/22, 31.8%). Consolidation shadow as the main lesion was observed in 7 cases, and all of them were severe or critical ill patients.
CONCLUSIONS: CT images of patients with different clinical types of COVID-19 have characteristic manifestations, and solid shadow may predict severe and critical illness.

Entities:  

Mesh:

Year:  2020        PMID: 32391664     DOI: 10.3785/j.issn.1008-9292.2020.03.05

Source DB:  PubMed          Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban        ISSN: 1008-9292


  4 in total

1.  A convolutional neural network-based COVID-19 detection method using chest CT images.

Authors:  Yi Cao; Chen Zhang; Cheng Peng; Guangfeng Zhang; Yi Sun; Xiaoxue Jiang; Zhan Wang; Die Zhang; Lifei Wang; Jikui Liu
Journal:  Ann Transl Med       Date:  2022-03

2.  CT Imaging Features and Clinical Characteristics of 2019 Novel Coronavirus Pneumonia (COVID-19) During Rehabilitation.

Authors:  Yuanyuan Wang; Hui Shao; Zuomin Li; Wenying Xu; Rui Zhang; Zhishuo Hu; Jing Zou
Journal:  Iran J Sci Technol Trans A Sci       Date:  2022-08-08       Impact factor: 1.553

Review 3.  Meta-analysis of chest CT features of patients with COVID-19 pneumonia.

Authors:  Ying Zheng; Ling Wang; Suqin Ben
Journal:  J Med Virol       Date:  2020-07-11       Impact factor: 20.693

4.  Diagnostic accuracy of CT and radiographic findings for novel coronavirus 2019 pneumonia: Systematic review and meta-analysis.

Authors:  Mandeep Garg; Pankaj Gupta; Muniraju Maralakunte; Praveen Kumar-M; Anindita Sinha; Mandeep Kang; Ritesh Agarwal; Manavjit Singh Sandhu
Journal:  Clin Imaging       Date:  2020-11-11       Impact factor: 2.420

  4 in total

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