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Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans

Author

Listed:
  • Yukitaka Yamasaki
  • Seido Ooka
  • Shin Matsuoka
  • Hayato Tomita
  • Masanori Hirose
  • Tomonori Takano
  • Shotaro Suzuki
  • Mitsuru Imamura
  • Hiroshi Handa
  • Hiroki Nishine
  • Mumon Takita
  • Ayu Minoura
  • Kenichiro Morisawa
  • Takeo Inoue
  • Masamichi Mineshita
  • Kimito Kawahata
  • Hiromu Takemura
  • Shigeki Fujitani
  • Hiroyuki Kunishima

Abstract

Presently, coronavirus disease-19 (COVID-19) is spreading worldwide without an effective treatment method. For COVID-19, which is often asymptomatic, it is essential to adopt a method that does not cause aggravation, as well as a method to prevent infection. Whether aggravation can be predicted by analyzing the extent of lung damage on chest computed tomography (CT) scans was examined. The extent of lung damage on pre-intubation chest CT scans of 277 patients with COVID-19 was assessed. It was observed that aggravation occurred when the CT scan showed extensive damage associated with ground-glass opacification and/or consolidation (p

Suggested Citation

  • Yukitaka Yamasaki & Seido Ooka & Shin Matsuoka & Hayato Tomita & Masanori Hirose & Tomonori Takano & Shotaro Suzuki & Mitsuru Imamura & Hiroshi Handa & Hiroki Nishine & Mumon Takita & Ayu Minoura & Ke, 2022. "Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-13, November.
    • Handle: RePEc:plo:pone00:0276738
    DOI: 10.1371/journal.pone.0276738
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