HRCT Features Of COVID-19 In Relation To Duration Of Disease

Sajida Shah1, Zainab Malik1, Inamullah Shah2

  • 1Department of Diagnostic Radiology Shifa International Hospital Islamabad, Pakistan.

Insights

High-resolution computed tomography (HRCT) scans show distinct findings based on COVID-19 disease duration. Ground glass opacities are common early, while thickening and reticulation appear later.

Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • Limited detailed descriptions of COVID-19 High-Resolution Computed Tomography (HRCT) findings correlating with disease duration exist.
  • Understanding HRCT patterns over time is crucial for accurate COVID-19 diagnosis and management.
  • This study addresses the gap by analyzing HRCT findings in relation to the time elapsed since symptom onset.

Purpose of the Study:

  • To investigate and compare High-Resolution Computed Tomography (HRCT) scan findings at different time points after the onset of COVID-19 symptoms.
  • To identify specific HRCT features associated with early and later stages of the disease.

Main Methods:

  • A total of 224 patients with COVID-19 were categorized into four groups based on the number of days since symptom onset.
  • All HRCT scans were performed on a single machine over a two-month period.
  • Statistical analysis (SPSS 23) was used to compare findings across groups and identify significant differences.

Main Results:

  • Ground glass opacities in posterior lung segments were the most frequent finding, significantly associated with the first 5 days of illness (p=.027).
  • Interlobular thickening and subpleural reticulation were observed between 3-5 days or later in the disease course (p=.000).

Conclusions:

  • Posterior segment ground glass opacities are predominant in HRCT scans within 5 days of COVID-19 symptom onset, also seen in asymptomatic cases.
  • Interlobular septal thickening and subpleural reticulation emerge around 3 days into the disease process.
  • HRCT findings evolve with disease duration, providing valuable insights into COVID-19 progression.
Abstract

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