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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
CHEST CT USAGE IN COVID-19 PNEUMONIA: MULTICENTER STUDY ON RADIATION DOSES AND DIAGNOSTIC QUALITY IN BRAZIL
This study found significant variations in chest CT scans, radiation doses, and image quality across Brazilian healthcare sites for COVID-19 pneumonia patients. Respiratory motion artifacts frequently impacted diagnostic quality, affecting lung evaluations.
Area of Science:
- Radiology
- Medical Imaging
- Infectious Diseases
Background:
- Chest computed tomography (CT) is crucial for diagnosing COVID-19 pneumonia.
- Standardization of CT protocols and image quality assessment is essential for reliable diagnosis and patient safety.
Purpose of the Study:
- To evaluate variations in chest CT utilization, radiation dose metrics (CTDIvol, DLP), and image quality among different healthcare facilities in Brazil.
- To identify the prevalence and impact of artifacts on diagnostic quality in COVID-19 pneumonia CT scans.
Main Methods:
- Retrospective analysis of 533 patients undergoing chest CT for COVID-19 pneumonia across 6 Brazilian healthcare sites.
- Data collection included patient demographics, CT scan parameters, and radiation doses (CTDIvol, DLP).
- Six radiologists assessed pulmonary findings, classified COVID-19 appearance, and evaluated image quality and artifact presence.
Main Results:
- Substantial inter-site variability observed in CT usage, patient weight, CTDIvol, and DLP.
- Artifacts were frequent (43.6%), predominantly due to respiratory motion (93.7% of artifact cases).
- Suboptimal image quality occurred in 20.9% of scans, impacting mid-to-lower lung evaluations (40.7%) or entire lungs (7.3%).
Conclusions:
- Significant heterogeneity exists in chest CT practices for COVID-19 pneumonia in Brazil.
- Respiratory motion artifacts are a major cause of suboptimal image quality, potentially affecting diagnostic accuracy.
- Addressing these variations is crucial for optimizing CT protocols, radiation safety, and diagnostic performance.
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