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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

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

Published on: December 19, 2020

14.6K

Association between chest CT features and clinical course of Coronavirus Disease 2019

Zhibing Luo1, Na Wang1, Ping Liu2

  • 1Respiratory and Critical Care Center, Shanghai East Hospital Affiliated by Tongji University, China.

Respiratory Medicine
|May 5, 2020
PubMed

Insights

Radiographic characteristics of Coronavirus Disease (COVID-19) imaging can aid in early recognition. Comprehensive assessment of imaging and lab results provides a clearer understanding of COVID-19 progression.

Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • Coronavirus Disease (COVID-19) is a significant global health concern.
  • Understanding its radiographic manifestations is crucial for diagnosis and management.

Purpose of the Study:

  • To illustrate the radiographic characteristics of COVID-19.
  • To correlate imaging findings with the clinical course of the disease.

Main Methods:

  • Retrospective study of 195 hospitalized COVID-19 patients.
  • Analysis of chest computed tomography (CT) scans, clinical data, and laboratory results.
  • Evaluation of radiographic evolution and outcomes over time.

Main Results:

  • Common findings include bilateral, peripheral, multi-lobar ground-glass opacities and consolidation.
  • Younger patients were more likely to have stable or improving conditions.
  • Positive imaging findings correlated with older age and specific laboratory abnormalities (elevated CRP, LDH; decreased lymphocytes, albumin).

Conclusions:

  • Specific imaging changes during disease progression can assist in early COVID-19 recognition and differential diagnosis.
  • Integrating imaging features with laboratory results offers a comprehensive understanding of COVID-19.
Abstract

Keywords:
Computed tomographyCoronavirus diseaseSARS-CoV2Viral infection

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