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Chest computed tomography findings in a case series of coronavirus disease 2019 (covid-19) patients at siriraj hospital: Case report

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Recent evidence has demonstrated the high sensitivity of chest computed tomography (CT) in coronavirus disease 2019 (COVID-19) case detection. However, considering the cost and infection control issues, the experience of chest CT for COVID-19 diagnosis in Thailand is still limited. Objective: To present the characteristics of chest CT findings in COVID-19 patients at Siriraj Hospital and compare them with other reports. Materials and Methods: The authors retrospectively reviewed the COVID-19 patients medical records between April and May 2020. All cases with the presence of chest CT performed during admission were recruited. Clinical data were retrieved from the patients medical records. All chest imaging results were reported by consensus between the authors. Results: From 103 cases, four cases with a chest CT scan during the admission were recruited. Consistent with previous reports, the common chest CT findings included a ground-glass opacity and consolidation with bilateral involvement. A round-shaped ground-glass opacity or consolidation was evidenced in half of the cases. The only case with the presence of chest CT scan, which was done 77 days after the onset of COVID-19 symptoms, revealed resolution of the abnormal findings. Conclusion: Chest CT findings in four COVID-19 cases at Siriraj Hospital are consistent with previous reports. Common findings include bilateral ground-glass opacity and consolidation.

Original languageEnglish
Pages (from-to)866-871
Number of pages6
JournalJournal of the Medical Association of Thailand
Volume104
Issue number5
DOIs
Publication statusPublished - May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Case series
  • Computed tomography
  • SARS-CoV-2

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