Imaging of Pulmonary Superinfections and Co-Infections in COVID-19

Priyanka Naranje1, Ashu Seith Bhalla2, Manisha Jana1

  • 1Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.

Insights

Radiologists face challenges in diagnosing secondary infections in COVID-19 pneumonia due to overlapping imaging. This review highlights key imaging findings to identify superinfections and co-infections, aiding organism prediction.

Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • The COVID-19 pandemic presents complex diagnostic challenges, particularly with superinfections and co-infections complicating pneumonia.
  • Limited access to lower respiratory tract samples for microbiological analysis increases reliance on imaging for diagnosis.
  • Radiologists play a crucial role in identifying secondary infections in COVID-19 pneumonia patients.

Purpose of the Study:

  • To review and highlight key imaging findings in COVID-19 pneumonia with superinfections and co-infections.
  • To assist radiologists in diagnosing secondary infections and predicting causative organisms.
  • To improve patient management through accurate imaging-based diagnosis.

Main Methods:

  • Review of current literature on imaging findings in COVID-19 pneumonia with secondary infections.
  • Analysis of imaging characteristics differentiating COVID-19 pneumonia from common superinfections and co-infections.
  • Correlation of imaging patterns with likely causative organisms.

Main Results:

  • Specific imaging patterns can suggest bacterial, fungal, or other viral superinfections.
  • Overlap in imaging features between COVID-19 pneumonia and co-infections necessitates careful radiological assessment.
  • Certain imaging findings may help predict the specific pathogen responsible for secondary infection.

Conclusions:

  • Imaging plays a vital role in diagnosing and managing superinfections and co-infections in COVID-19 pneumonia.
  • Radiological interpretation can guide empirical treatment decisions when microbiological data is limited.
  • Further research into distinct imaging biomarkers for various co-infections is warranted.

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