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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

Initial CT features and dynamic evolution of early-stage patients with COVID-19

Chuanbin Wang1, Bin Shi1, Chao Wei1

  • 1Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230031, China.

Radiology of Infectious Diseases (Beijing, China)
|September 1, 2020
PubMed

Insights

Early-stage Coronavirus disease 2019 (COVID-19) presents distinct initial CT features and predictable dynamic evolution patterns. Chest CT is crucial for early detection, severity assessment, and patient follow-up in COVID-19.

Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • Coronavirus disease 2019 (COVID-19) is a global health concern.
  • Understanding early-stage disease manifestations is critical for timely diagnosis and management.
  • Computed Tomography (CT) plays a vital role in visualizing pulmonary changes associated with viral infections.

Purpose of the Study:

  • To characterize the initial CT findings in early-stage COVID-19 patients.
  • To analyze the dynamic evolution of pulmonary lesions during disease progression and absorption.
  • To establish the significance of CT in managing COVID-19 patients.

Main Methods:

  • Retrospective analysis of initial CT scans from 126 early-stage COVID-19 patients.
  • Detailed examination of CT features including distribution, morphology, and specific signs (e.g., GGO, crazy paving).
  • Tracking the dynamic changes in lesions from admission through discharge.

Main Results:

  • Common initial CT findings included bilateral, diffuse, multiple lesions with nodular or patchy shapes, pure ground-glass opacities (GGO), vascular thickening, air bronchogram, crazy paving, and pleura parallel signs.
  • Progression showed increased GGOs, consolidation, crazy paving, vascular thickening, and air bronchogram signs.
  • Absorption phase revealed decreased GGOs, consolidation, and crazy paving, with increased fibrosis, subpleural lines, and "fishing net on trees" sign.
  • Discharge stage showed further GGO absorption, consolidation, and fibrosis, with residual fibrotic streaks in some cases.

Conclusions:

  • Early-stage COVID-19 exhibits characteristic and regular patterns on initial CT scans and dynamic evolution.
  • Chest CT is indispensable for the early detection of COVID-19.
  • CT imaging aids in evaluating disease severity and monitoring patient recovery.
Abstract

Keywords:
COVID-19Computed tomographyPneumoniaSevere acute respiratory syndrome corona virus type 2X-ray computer

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