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Updated: Jul 16, 2025
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Chest computed tomography severity score is a reliable predictor of mortality in patients with chronic obstructive
Yalda Alipour Khabir1, Sevda Alipour Khabir1, Hassan Anari2
1Students Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Insights
The CT severity score in patients with chronic obstructive pulmonary disease (COPD) and coronavirus disease 2019 (COVID-19) can predict mortality. Higher CT severity scores indicate a poorer prognosis for these patients.
Area of Science:
- Medical Imaging
- Pulmonology
- Infectious Diseases
Background:
- The coronavirus disease 2019 (COVID-19) pandemic presents a global health challenge.
- Data on chronic obstructive pulmonary disease (COPD) patients with COVID-19, particularly chest computed tomography (CT) findings, remain limited.
Purpose of the Study:
- To assess COVID-19 disease severity in COPD patients using CT severity scoring.
- To evaluate the predictive capability of CT severity score for mortality in COPD patients with COVID-19.
Main Methods:
- Retrospective analysis of demographic, clinical, and CT scan data from COPD patients with COVID-19 (March 2020 - February 2022).
- CT severity scoring based on lung involvement extent and characteristics.
- Receiver operating characteristic (ROC) and Kaplan-Meier survival analyses to determine disease severity and survival probability.
Main Results:
- Common CT findings included ground glass opacities (89.3%), consolidations (51.8%), crazy-paving pattern (46.4%), and septal thickening (35.7%).
- Deceased patients exhibited a significantly higher mean CT severity score (34.61 ± 18.73) compared to recovered patients (16.71 ± 14.01, p < 0.001).
- CT severity score proved to be a valuable predictor of mortality in COPD patients with COVID-19, as indicated by ROC and Kaplan-Meier analyses.
Conclusions:
- CT severity scoring is a valuable tool for identifying poor prognosis in COPD patients with COVID-19.
- Further research is warranted to fully elucidate the implications of CT severity scoring in this patient population.
Background:
Coronavirus disease 2019 (COVID-19) pandemic is considered a global health crisis. The data related to chronic obstructive pulmonary disease (COPD) patients with COVID-19 are incomplete, especially the findings of the chest computed tomography (CT). The aim of the current study was to investigate the severity of the disease of COVID-19 in patients with COPD based on CT severity score and to evaluate its predictive power in the mortality of patients.
Methods:
In a retrospective study, demographic, clinical, and CT scan findings of COPD patients with COVID-19 were extracted from March 2020 to February 2022. CT severity score was determined based on the extent and nature of involvement of lungs in CT scan findings. By performing receiver operating characteristics (ROC) and Kaplan-Meier survival analysis were determined the disease severity and survival probability.
Results:
The most frequent radiological findings in chest CT scan included ground glass opacities (89.3%), consolidations (51.8%), crazy-paving pattern (46.4%), and septal thickening (35.7%). The mean CT severity score of deceased patients (34.61 ± 18.73) was significantly higher than recovered patients (16.71 ± 14.01, p < 0.001). Based on the ROC and Kaplan-Meier survival curves, it was revealed that CT severity score was a valuable criteria in the diagnosis of mortality in COPD patients with COVID-19.
Conclusion:
The findings of this study revealed that the CT severity scoring in COPD patients with COVID-19 was valuable in identifying poor prognosis, although further studies are needed.
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