Scimago Lab
powered by Scopus
call: +1.631.470.9640
Mon-Fri 10 am - 2 pm EST


Medical Science Monitor Basic Research


eISSN: 1643-3750

Chest Computed Tomography (CT) Severity Scales in COVID-19 Disease: A Validation Study

Bartosz Mruk, Dominika Plucińska, Jerzy Walecki, Gabriela Półtorak-Szymczak, Katarzyna Sklinda

Department of Radiology, Medical Centre for Postgraduate Education, Wrsaw, Poland

Med Sci Monit 2021; 27:e931283

DOI: 10.12659/MSM.931283

Available online: 2021-04-09

Published: 2021-05-05


BACKGROUND: Imaging-based quantitative assessment of lung lesions plays a key role in patient triage and therapeutic decision-making processes. The aim of our study was to validate the Total Severity Score (TSS), Chest Computed Tomography Score (CT-S), and Chest CT Severity Score (CT-SS) scales, which were used to assess the extent of lung inflammation in patients with SARS-CoV-2 infection in terms of interobserver agreement and the correlation of scores with patient clinical condition on the day of the study.
MATERIAL AND METHODS: A total of 77 chest CT scans collected from 77 consecutive patients hospitalized because of SARS-CoV-2 were included. The scans were assessed independently by 2 radiologists aware of the patients’ positive results of RT-PCR tests. Each chest CT was assessed according to the 3 scales. To assess the interobserver agreement of CT scan assessments, Cohen’s k and intraclass correlation coefficient (ICC) were calculated.
RESULTS: For the overall assessment, the k was 0.944 and the ICC was 0.948 for the TSS; the kappa was 0.909 and the ICC was 0.919 for the CT-S; and the k was 0.888 and the ICC was 0.899 for the CT-SS. The CT-SS (r=0.627 for Radiologist 1 and r=0.653 for Radiologist 2) revealed the strongest positive correlation with the patient clinical condition as expressed using the Modified Early Warning Score.
CONCLUSIONS: The interobserver agreement for the 3 evaluated scales was very good. The CT-SS was found to have the strongest positive relationship with the Modified Early Warning Score.

Keywords: COVID-19, Diagnostic Imaging, multidetector computed tomography