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An analysis of the radiological factors associated with respiratory failure in COVID-19 pneumonia and the CT features among different age categories

  • Akito Fukuda
  • , Noriyo Yanagawa
  • , Noritaka Sekiya
  • , Koji Ohyama
  • , Makiko Yomota
  • , Takanori Inui
  • , Sho Fujiwara
  • , Shoko Kawai
  • , Kazuaki Fukushima
  • , Masaru Tanaka
  • , Taiichiro Kobayashi
  • , Keishiro Yajima
  • , Akifumi Imamura

研究成果: ジャーナルへの寄稿学術論文査読

8   !!Link opens in a new tab 被引用数 (Scopus)

抄録

Purpose: To investigate CT patterns of COVID-19 pneumonia associated with respiratory failure (RF) focused on the distribution of lesions. Materials and methods: Eighty-five patients with COVID-19 pneumonia were reviewed. CT findings were classified as follows: Type A; patchy ground glass attenuation (GGA) with/without air-space consolidation, Type B; non-segmental GGA with/without air-space consolidation in both the central and peripheral lung portions especially with subpleural spare, and Type C; non-segmental GGA with/without air-space consolidation predominantly distributed in the peripheral lung portion without subpleural spare. We analyzed CT patterns and clinical factors associated with RF, including age categories. Results: The number of patients with Type A, B and C was 31 (37%), 24 (28%) and 30 (35%), respectively. Type C and hypertension were independently associated with RF. On comparing between Types B and C, the frequency of traction bronchiectasis was higher in Type C than in Type B (P < 0.001). The ratio of Type C in patients ≥ 65 years old (66%) was higher than in patients < 40 years old (P < 0.001) and 40–49 years old (P = 0.001). Conclusion: The Type C, increasing with age, was associated with RF. Traction bronchiectasis in the lesion was more frequent in Type C than in Type B. Secondary abstract A lesion adjacent to the pleura and hypertension is associated with respiratory failure in patients with COVID-19. The frequency of a lesion adjacent to the pleura increased with age. The distribution of lesions is a useful parameter to predict respiratory failure.

本文言語英語
ページ(範囲)783-790
ページ数8
ジャーナルJapanese journal of radiology
39
8
DOI
出版ステータス出版済み - 08-2021
外部発表はい

All Science Journal Classification (ASJC) codes

  • 放射線学、核医学およびイメージング

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