基于定量 CT 对新型冠状病毒肺炎肺部改变的纵向研究

Translated title of the contribution: Longitudinal study of lung changes induced by COVID-19 based on quantitative CT
  • Jing Chen
  • , Yong Yu
  • , Haifeng Duan
  • , Chenwang Jin
  • , Cong Shen
  • , Nan Yu

Research output: Contribution to journalArticlepeer-review

Abstract

Objective To investigate the changes in CT quantitative parameters because of the lung changes induced by 2019 novel coronavirus (COVID-19) for providing quantitative imaging basis for patients with COVID-19. Methods A retrospective analysis of 17 patients with confirmed COVID-19 was carried out. The initial and follow-up chest CT images were analyzed quantitatively. The quantitative CT indexes included total lung volume (TV), total lesion volume (TLV), the percentage of lesion volume in total lung volume (TLV/T%), the highest lesion density region (HLD), the lowest lesion density region (LLD), percentage of ground glass opacity (GGO%). Results A total of 42 chest CT scans were conducted in 17 patients with confirmed COVID-19, and the average interval was (4±1) days. According to the time of onset, the course of disease was divided into 4 stages, namely day 0-3 (stage 1), day 4-7 (stage 2), day 8-14 (stage 3) and day 15-21 (stage 4). TLV and TLV/TL% reached the highest in stage 2 (day 4-7) and stage 3 (day 8-14), while TV and GGO% were the lowest (P=0.001). The fastest progression of TLV/TL% was found in stage 2 (day 4-7). Patients with rapid disease progression (with more than 50% TLV progression in 2 follow-up CT scans) had the characteristics of elder age (P<0.05), decreased lymphocyte count (P<0.001), and lower GGO% but higher TLV/TL% in the first CT scan (P<0.05). Conclusion Chest quantitative CT related indicators suggest that the fastest disease progression is on day 4-7. The patients with elder age, low leukocyte count, large lesion volume and high lesion density in initial CT are more likely to have rapid disease progression.

Translated title of the contributionLongitudinal study of lung changes induced by COVID-19 based on quantitative CT
Original languageChinese (Traditional)
Pages (from-to)445-449
Number of pages5
JournalChinese Journal of Medical Physics
Volume37
Issue number4
DOIs
StatePublished - Apr 2020
Externally publishedYes

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