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Updated: Jul 17, 2025
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Pneumonia pattern recognition on ultra-low-dose CT does not allow for a reliable differentiation between viral and
Inge A H van den Berk1, Maadrika M N P Kanglie2, Tjitske S R van Engelen3
1Amsterdam UMC location University of Amsterdam, Department of Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands.
Purpose:
While a reliable differentiation between viral and bacterial pneumonia is not possible with chest X-ray, this study investigates whether ultra-low-dose chest-CT (ULDCT) could be used for this purpose.
Methods:
In the OPTIMACT trial 281 patients had a final diagnosis of pneumonia, and 96/281 (34%) had one or more positive microbiology results: 60 patients viral pathogens, 48 patients bacterial pathogens. These 96 ULDCT's were blindly and independently evaluated by two chest radiologists, who reported CT findings, pneumonia pattern, and most likely type of pathogen. Differences between groups were analysed for each radiologist separately, diagnostic accuracy was evaluated by calculating sensitivity.
Results:
The dominant CT finding significantly differed between the viral and bacterial pathogen groups (p = 0.04; p = 0.04). Consolidation was the most frequent dominant CT finding in both patients with viral and bacterial pathogens, but was observed significantly more often in those with a bacterial pathogen: 32/60 and 22/60 versus 38/48 and 31/48 (p = 0.005; p = 0.004). The lobar pneumonia pattern was more frequently observed in patients with a bacterial pathogen: 23/48 and 18/48, versus 10/60 and 8/60 for viral pathogens (p < 0.001; p = 0.004). For the bronchopneumonia and interstitial pneumonia patterns the proportions of viral and bacterial pathogens were not significantly different. Both radiologists suggested a viral pathogen correctly (sensitivity) in 6/60 (10%), for a bacterial pathogen this was 34/48 (71%).
Conclusion:
Reliable differentiation between viral and bacterial pneumonia could not be made by pattern recognition on ULDCT, although a lobar pneumonia pattern was significantly more often observed in bacterial infection.
Insights
Ultra-low-dose chest CT (ULDCT) cannot reliably differentiate viral from bacterial pneumonia. While lobar pneumonia patterns were more common in bacterial cases, overall diagnostic accuracy was limited for both pathogen types.
Area of Science:
- Radiology
- Infectious Diseases
- Pulmonology
Background:
- Chest X-ray limitations in differentiating viral and bacterial pneumonia.
- Need for improved diagnostic imaging modalities.
Purpose of the Study:
- Investigate the utility of ultra-low-dose chest CT (ULDCT) for differentiating viral and bacterial pneumonia.
- Assess the diagnostic accuracy of ULDCT patterns.
Main Methods:
- Analysis of 96 ULDCT scans from patients with confirmed viral or bacterial pneumonia.
- Independent evaluation by two radiologists assessing CT findings, pneumonia patterns, and pathogen likelihood.
- Calculation of sensitivity for differentiating pathogen types.
Main Results:
- Significant differences in dominant CT findings and pneumonia patterns between viral and bacterial groups.
- Consolidation and lobar pneumonia patterns were more frequent in bacterial infections (p<0.05).
- Sensitivity for identifying viral pathogens was low (10%), while for bacterial pathogens it was higher (71%).
Conclusions:
- ULDCT pattern recognition alone is insufficient for reliable viral vs. bacterial pneumonia differentiation.
- Lobar pneumonia pattern is a potential indicator of bacterial infection, but not definitive.
- Further research may be needed to enhance ULDCT's diagnostic capabilities.
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