Covid-19: Correlation of Early Chest Computed Tomography Findings With the Course of Disease

J Comput Assist Tomogr. 2020 Sep/Oct;44(5):633-639. doi: 10.1097/RCT.0000000000001073.

Abstract

Objective: To investigate the role of chest computed tomography (CT) examinations acquired early after initial onset of symptoms in predicting disease course in coronavirus disease 2019.

Methods: Two hundred sixty-two patients were categorized according to intensive care unit (ICU) admission, survival, length of hospital stay, and reverse transcriptase-polymerase chain reaction positivity. Mean time interval between the onset of symptoms and CT scan was 5.2 ± 2.3 days. Groups were compared using Student t test, Mann-Whitney U, and Fisher exact tests.

Results: In the ICU (+) and died groups, crazy paving (64% and 57.1%), bronchus distortion (68% and 66.7%), bronchiectasis-bronchiolectasis (80% and 76.2%), air trapping (52% and 52.4%) and mediastinal-hilar lymph node enlargement (52% and 52.4%) were significantly more encountered (P < 0,05). These findings were correlated with longer hospital stays (P < 0.05). There were no differences between reverse transcriptase-polymerase chain reaction-positive and -negative patients except bronchiectasis-bronchiolectasis.

Conclusion: Computed tomography examinations performed early after the onset of symptoms may help in predicting disease course and planning of resources, such as ICU beds.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Betacoronavirus*
  • COVID-19
  • Coronavirus Infections / diagnosis*
  • Disease Progression
  • Female
  • Humans
  • Lung / diagnostic imaging*
  • Male
  • Middle Aged
  • Pandemics
  • Pneumonia, Viral / diagnosis*
  • Radiography, Thoracic / methods*
  • Retrospective Studies
  • SARS-CoV-2
  • Tomography, X-Ray Computed / methods*
  • Young Adult