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

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 and Hiroyuki Kunishima

PLOS ONE, 2022, vol. 17, issue 11, 1-13

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

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276738 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 76738&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0276738

DOI: 10.1371/journal.pone.0276738

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().