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Updated: Dec 12, 2025
08:05
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
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Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal
E Neri1, F Coppola2, A R Larici3
1Diagnostic and Interventional Radiology, Department of Translational Research, Università degli Studi di Pisa, Radiodiagnostica 3, Via Roma 67 -, 56126, Pisa, SD, Italy. emanuele.neri@med.unipi.it.
Insights Into Imaging
|August 14, 2020
Summary
A standardized chest CT reporting scheme for COVID-19 pneumonia was developed using a modified Delphi process. This structured report aims to improve consistency and clarity in imaging diagnosis for radiologists.
Area of Science:
- Radiology
- Infectious Diseases
- Medical Imaging
Background:
- Standardized reporting is crucial for consistent interpretation of imaging findings in COVID-19 pneumonia.
- Major scientific societies advocate for a unified language in chest CT reporting for this condition.
Purpose of the Study:
- To develop a structured reporting scheme for chest computed tomography (CT) in COVID-19 pneumonia.
- To establish a consensus-based guideline for radiologists interpreting COVID-19 related lung imaging.
Main Methods:
- A modified Delphi process was employed with a consensus panel of experts from the Italian Society of Medical and Interventional Radiology (SIRM).
- Internal consistency of panelist ratings was assessed using Cronbach's alpha (Cα) correlation coefficient.
Main Results:
- Expert agreement scores improved from 3.1 in the second round to 3.75 in the third round.
- Cronbach's alpha increased from 0.741 to 0.789, indicating acceptable to good internal consistency.
- The final structured report comprises 28 items across procedure, clinical information, findings, and impression sections.
Conclusions:
- The developed structured report serves as a guideline for key items and findings in chest CT for COVID-19 pneumonia.
- This standardized scheme is beneficial for both experienced and less experienced radiologists managing patients with COVID-19.
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