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Updated: Nov 11, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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CO-RADS: Coronavirus Classification Review.

Diana Penha1, Erique Guedes Pinto2, Fernando Matos3

  • 1Department of Radiology, Liverpool Heart and Chest Hospital NHS Foundation Trust, Covilhã, Portugal.

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|March 26, 2021
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Summary
This summary is machine-generated.

The COVID-19 Reporting and Data System (CO-RADS) standardizes chest CT reporting for coronavirus disease 2019 (COVID-19), showing good reliability in predicting severe cases. This system aids in consistent diagnosis and patient management.

Keywords:
CTChestCoronavirus disease 2019Coronavirus disease 2019 reporting and data systemReportingStandards

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Area of Science:

  • Radiology
  • Infectious Diseases
  • Medical Informatics

Background:

  • Over 95 million coronavirus disease 2019 (COVID-19) cases and 2 million deaths were reported globally by mid-January 2021.
  • Computed tomography (CT) of the chest demonstrates improved sensitivity for detecting COVID-19 related pulmonary changes, particularly in hospitalized patients.
  • Standardization of radiological reporting for COVID-19 pulmonary involvement is crucial for consistent interpretation and patient care.

Purpose of the Study:

  • To introduce and illustrate the application of the COVID-19 Reporting and Data System (CO-RADS) for standardizing chest CT interpretations in COVID-19.
  • To evaluate the inter-observer reliability and performance of the CO-RADS classification in predicting moderate to severe COVID-19 disease.
  • To compare the CO-RADS classification with other existing COVID-19 reporting systems.

Main Methods:

  • Development of the COVID-19 Reporting and Data System (CO-RADS) based on experiences from the initial pandemic wave.
  • Application of the CO-RADS classification to imaging from confirmed COVID-19 cases.
  • Assessment of inter-observer reliability and predictive performance for disease severity.

Main Results:

  • The CO-RADS classification demonstrates good inter-observer reliability among radiologists.
  • The system shows good performance in predicting moderate to severe COVID-19 disease based on chest CT findings.
  • Illustrative examples of CO-RADS application in confirmed COVID-19 cases are provided.

Conclusions:

  • The CO-RADS classification offers a standardized and reliable approach to reporting pulmonary involvement in COVID-19 on chest CT.
  • CO-RADS aids in the consistent prediction of disease severity, facilitating appropriate clinical management.
  • This system represents an advancement in radiological reporting for COVID-19, building on lessons learned during the pandemic.