Diagnostic Imaging of Severe Pneumonia COVID-19: A Comprehensive Systematic Review

Background: COVID-19, caused by SARS-CoV-2, has become a global health crisis since its emergence in December 2019. Severe pneumonia is a critical manifestation of the disease, often necessitating diagnostic imaging for effective management. This systematic review evaluates the diagnostic imaging features of severe pneumonia in COVID-19 using chest X-ray (CXR), computed tomography (CT), lung ultrasound (LUS), and magnetic resonance imaging (MRI). Methods: This review follows PRISMA 2020 guidelines. Studies from 2019–2024 were screened for peer-reviewed evaluations of imaging findings in severe COVID-19 pneumonia. Results: Eight studies were included. Key findings demonstrated the utility of LUS in detecting early abnormalities like B-lines, critical for bedside monitoring. CXR served as a prognostic tool with radiographic severity scores correlating with adverse outcomes. CT provided detailed anatomical insights, identifying ground-glass opacities (GGO), consolidations, and disease severity markers. MRI, while less commonly used, showed comparable sensitivity and specificity to CT, with advantages in radiation-free imaging for specific populations. Discussion: The reviewed studies highlight the complementary roles of imaging modalities in managing COVID-19 pneumonia. Key imaging features include ground-glass opacities, consolidations, and crazy-paving patterns, predominantly in peripheral and lower lung regions. Conclusion: Imaging modalities play complementary roles in managing severe COVID-19 pneumonia. LUS is ideal for bedside assessments, CXR aids in prognostication, CT remains the gold standard for detailed evaluation, and MRI offers a viable alternative for radiation-sensitive cases. Understanding these modalities' applications can enhance diagnostic accuracy and clinical outcomes.

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Publication Details

Journal
The International Journal of Medical Science and Health Research
Published
2025-02-13
DOI
https://doi.org/10.70070/esrc1540
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

Diagnostic Imaging of Severe Pneumonia COVID-19: A Comprehensive Systematic Review

Claudia Bella Laurentia, Tri Harjanto, Tiarma Saulina
The International Journal of Medical Science and Health Research
COVID-19 diagnosis using AI
article

Diagnostic Imaging of Severe Pneumonia COVID-19: A Comprehensive Systematic Review

Claudia Bella Laurentia, Tri Harjanto, Tiarma Saulina
article en

Abstract

Background: COVID-19, caused by SARS-CoV-2, has become a global health crisis since its emergence in December 2019. Severe pneumonia is a critical manifestation of the disease, often necessitating diagnostic imaging for effective management. This systematic review evaluates the diagnostic imaging features of severe pneumonia in COVID-19 using chest X-ray (CXR), computed tomography (CT), lung ultrasound (LUS), and magnetic resonance imaging (MRI). Methods: This review follows PRISMA 2020 guidelines. Studies from 2019–2024 were screened for peer-reviewed evaluations of imaging findings in severe COVID-19 pneumonia. Results: Eight studies were included. Key findings demonstrated the utility of LUS in detecting early abnormalities like B-lines, critical for bedside monitoring. CXR served as a prognostic tool with radiographic severity scores correlating with adverse outcomes. CT provided detailed anatomical insights, identifying ground-glass opacities (GGO), consolidations, and disease severity markers. MRI, while less commonly used, showed comparable sensitivity and specificity to CT, with advantages in radiation-free imaging for specific populations. Discussion: The reviewed studies highlight the complementary roles of imaging modalities in managing COVID-19 pneumonia. Key imaging features include ground-glass opacities, consolidations, and crazy-paving patterns, predominantly in peripheral and lower lung regions. Conclusion: Imaging modalities play complementary roles in managing severe COVID-19 pneumonia. LUS is ideal for bedside assessments, CXR aids in prognostication, CT remains the gold standard for detailed evaluation, and MRI offers a viable alternative for radiation-sensitive cases. Understanding these modalities' applications can enhance diagnostic accuracy and clinical outcomes.

The International Journal of Medical Science and Health ResearchVol. 9(2)
Universitas Kristen Indonesia (ID), Universitas Muhammadiyah Metro (ID)
Openalex Percentile: Top 96%
COVID-19 diagnosis using AI
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Diagnostic Imaging of Severe Pneumonia COVID-19: A Comprehensive Systematic Review — Claudia Bella Laurentia, Tri Harjanto, et al. · The International Journal of Medical Science and Health Research (2025) | TGRS Research Map | TGRS