Related Experiment Video
Updated: Oct 10, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
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.
Abstract:
New challenges in imaging and management of COVID-19 pneumonia emerge as the pandemic continues across the globe. These arise not only due to the COVID-19 pneumonia but also related to various superinfections and co-infections. Limited use of bronchoscopic and other aerosol generating procedures to obtain representative lower respiratory samples from these patient groups for accurate identification of organism, increases the responsibility of radiologists in suggesting the most likely cause of secondary infection. Imaging features of many of these infections overlap with features of COVID-19 pneumonia. In this review, we highlight imaging findings that can aid in the diagnosis of superinfections and co-infections in patients with COVID-19 pneumonia, and also help in predicting the likely causative organism.
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.
Related Concept Videos
Pneumonia III: Complications and Assessment
Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care
Pneumonia II: Pathophysiology
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Radiological Investigation III: Pulmonary Angiogram and PET Scan
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
Radiological Investigation II: MRI and Ventilation Perfusion Scan
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...

