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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

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Published on: December 19, 2020

Covid-19 imaging: A narrative review.

Hanae Ramdani¹, Nazik Allali¹, Latifa Chat¹

¹Radiology Department, Childrens' Hospital - Ibn Sina University Hospital-Rabat, Lamfadel Cherkaoui Street, 10010, Rabat, Morocco.

Annals of Medicine and Surgery (2012)

|June 28, 2021

Summary

This review synthesizes COVID-19 pneumonia imaging literature, detailing CT findings, diagnostic roles, and AI applications. It emphasizes precautionary measures for radiology departments and provides practical recommendations for managing COVID-19 patients.

Keywords:

COVID-19 Chest Computed tomography (CT)Imaging Novel coronavirus Sars-Cov2

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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

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Area of Science:

Radiology
Infectious Diseases
Medical Imaging

Background:

COVID-19 imaging data is fragmented across numerous publications.
A comprehensive review is needed to consolidate this information.

Purpose of the Study:

Summarize COVID-19 pneumonia imaging literature.
Include radiology department precautions, Chest CT's role, findings in diverse populations, AI applications, and recommendations.

Main Methods:

Systematic literature search of PubMed/Medline databases.

Main Results:

Chest CT is a sensitive tool for COVID-19 pneumonia diagnosis, especially when nucleic acid testing is limited.
Typical CT findings include bilateral, peripheral ground-glass opacities, evolving to consolidations and other features in later stages.
AI applications and other imaging modalities like ultrasound and MRI are also discussed.

Conclusions:

This review provides an exhaustive analysis of the current literature on the role and findings of imaging in COVID-19 pneumonia.