1. COVID-19: Chest Computed Tomography Imaging Patterns in Assessment of Disease Progression and Severity
- Author
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Sachin Thammegowda, Sudha Kiran Das, Raghu Ramachandra, Shashikiran Ramachandraiah, and Shashank Honnegowda
- Subjects
computed tomography severity score ,splenomegaly ,Medical physics. Medical radiology. Nuclear medicine ,consolidations ,RD1-811 ,ground glass opacities ,R895-920 ,Surgery - Abstract
Introduction: Chest Computed Tomography (CT) plays an important role in the diagnosis and management of Corona Virus Disease (COVID-19) infection. A better understanding of the chest CT imaging findings in COVID-19 disease may help in accurate diagnosis and staging of the disease. The temporal changes in the chest CT imaging findings follows a specific pattern which helps in identification of disease progression or recovery from the illness. Aim: To evaluate the chest CT imaging findings of COVID-19 patients during the course of disease. Materials and Methods: This was a retrospective observational study in which 110 hospitalised patients with COVID-19 disease were evaluated for chest CT imaging findings and severity of the infection. Chest CT findings with respect to duration of symptoms onset were divided into early phase disease (12 days of symptom onset). Based on visual assessment, CT severity score was given depending on the percentage of each lobe involved in bilateral lung parenchyma. Descriptive statistics were expressed using percentage, range, means and Standard Deviation (mean±SD). Results: A total of 110 COVID-19 positive patients (79 males and 31 females) with mean age of 48.33±9.18 years (range between 22-84 years) were included in the study. CT chest was performed during the different time periods of hospital stay ranging from 2 to 16 days. Early phase disease constituted 53 (48.18%) patients, 21 (19.09%) patients in the intermediate phase and 36 (32.72%) patients were in the late phase. Nineteen (17.27%) patients in the early phase disease (
- Published
- 2021