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05 May 2020 : Clinical Research  

COVID-19 Dynamic Computed Tomography (CT) Performance and Observation of Some Laboratory Indicators

Xiangsen Jiang1AE, Zudong Yin1CE, Tao Wang2D, Nailiang Zhai2B, Feng Lu2C, Chunhua Zhan3BD, Qizheng Han4AF*, Changjiang Feng5AF

DOI: 10.12659/MSM.924403

Med Sci Monit 2020; 26:e924403


BACKGROUND: Chest CT has an essential role in the detection and evaluation of novel coronary pneumonia (COVID-19) and has be regarded as a critical supplement for RT-PCR. This study explored the dynamic CT manifestations of COVID-19 at different times and the value of some laboratory indicators for clinical guidance.

MATERIAL AND METHODS: This retrospective review included 44 patients who were infected with COVID-19. The dynamic chest CT and laboratory findings were obtained from electronic medical records. The intervals between onset and CT scans and the dynamic changes of the lesions were recorded. The above data were reviewed, sorted, and analyzed by using SPSS 21.0 software.

RESULTS: From the time of onset, the dynamic image of the lungs became more complete. Fibrous cord shadow absorption in the lungs were observed. Experimental indicators, biochemical indicators of lymphocytes, and protein series were decreased to varying degrees, while erythrocyte sedimentation, fibrinogen, and D-dimer were increased to varying degrees.

CONCLUSIONS: The dynamic changes of CT images of lungs of COVID-19 patients, combined with the clinical manifestations and laboratory indicators of patients, can help guide clinical diagnosis and treatment.

Keywords: COVID-19, Tomography Scanners, X-Ray Computed, Tomography, X-Ray Computed, Betacoronavirus, biomarkers, COVID-19, COVID-19 Testing, Clinical Laboratory Techniques, Coronavirus Infections, Image Processing, Computer-Assisted, Lung, Pandemics, Pneumonia, Viral, Retrospective Studies, SARS-CoV-2, Software

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01 December 2023 : Editorial  

Editorial: Outbreaks of Post-Pandemic Childhood Pneumonia and the Re-Emergence of Endemic Respiratory Infections

Dinah V. Parums

DOI: 10.12659/MSM.943312

Med Sci Monit 2023; 29:e943312


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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750