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Association between emphysema and other pulmonary computed tomography patterns in COVID-19 pneumonia.
Han, Ke; Wang, Jing; Zou, Yulin; Zhang, Yuxin; Zhou, Lin; Yin, Yiping.
  • Han K; Department of Cardiothoracic Vascular Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
  • Wang J; Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
  • Zou Y; Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
  • Zhang Y; Department of Dermatology, Jinzhou Medical University Graduate Training Base, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
  • Zhou L; Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
  • Yin Y; Department of Medical Imaging Center, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
J Med Virol ; : e28293, 2022 Nov 10.
Article in English | MEDLINE | ID: covidwho-2230743
ABSTRACT
To evaluate the chest computed tomography (CT) findings of patients with Corona Virus Disease 2019 (COVID-19) on admission to hospital. And then correlate CT pulmonary infiltrates involvement with the findings of emphysema. We analyzed the different infiltrates of COVID-19 pneumonia using emphysema as the grade of pneumonia. We applied open-source assisted software (3D Slicer) to model the lungs and lesions of 66 patients with COVID-19, which were retrospectively included. we divided the 66 COVID-19 patients into the following two groups (A) 12 patients with less than 10% emphysema in the low-attenuation area less than -950 Hounsfield units (%LAA-950), (B) 54 patients with greater than or equal to 10% emphysema in %LAA-950. Imaging findings were assessed retrospectively by two authors and then pulmonary infiltrates and emphysema volumes were measured on CT using 3D Slicer software. Differences between pulmonary infiltrates, emphysema, Collapsed, affected of patients with CT findings were assessed by Kruskal-Wallis and Wilcoxon test, respectively. Statistical significance was set at p < 0.05. The left lung (A) affected left lung 20.00/affected right lung 18.50, (B) affected left lung 13.00/affected right lung 11.50 was most frequently involved region in COVID-19. In addition, collapsed left lung, (A) collapsed left lung 4.95/collapsed right lung 4.65, (B) collapsed left lung 3.65/collapsed right lung 3.15 was also more severe than the right one. There were significant differences between the Group A and Group B in terms of the percentage of CT involvement in each lung region (p < 0.05), except for the inflated affected total lung (p = 0.152). The median percentage of collapsed left lung in the Group A was 20.00 (14.00-30.00), right lung was 18.50 (13.00-30.25) and the total was 19.00 (13.00-30.00), while the median percentage of collapsed left lung in the Group B was 13.00 (10.00-14.75), right lung was 11.50 (10.00-15.00) and the total was 12.50 (10.00-15.00). The percentage of affected left lung is an independent predictor of emphysema in COVID-19 patients. We need to focus on the left lung of the patient as it is more affected. The people with lower levels of emphysema may have more collapsed segments. The more collapsed segments may lead to more serious clinical feature.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: J Med Virol Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: J Med Virol Year: 2022 Document Type: Article