Journals / Diagnostic and Interventional Radiology / 2021 / Cilt: 27 - Sayı: 5

Predictive value of CT imaging findings in COVID-19 pneumonia at the time of first-screen regarding the need for hospitalization or intensive care unit

Pages
599–606
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

METHODS Overall, 231 patients diagnosed with COVID-19 as proven by PCR were included in this study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:PURPOSE In this study, we aimed to reveal the relationship between initial lung parenchymal involvement patterns and the subsequent need for hospitalization and/or intensive care unit admission in coronavirus disease 2019 (COVID-19) positive cases.
📊
Key Findings & Data:METHODS Overall, 231 patients diagnosed with COVID-19 as proven by PCR were included in this study.
💡
Conclusion & Impact:Also, the need for intensive care increases as the number of affected lobes and percentage of affected parenchymal involvement increase.
🔬Design:Research Article
📍Scope:2019 Verileri
⚙️Variables:Domain Parameters

Özet

PURPOSE In this study, we aimed to reveal the relationship between initial lung parenchymal involvement patterns and the subsequent need for hospitalization and/or intensive care unit admission in coronavirus disease 2019 (COVID-19) positive cases. METHODS Overall, 231 patients diagnosed with COVID-19 as proven by PCR were included in this study. Based on the duration of hospitalization, patients were divided into three groups as follows: Group 1, patients receiving outpatient treatment or requiring hospitalization <7 days; Group 2, requiring hospitalization ≥7 days; Group 3, patients requiring at least 1 day of intensive care at any time. Chest CT findings at first admission were evaluated for the following features: typical/atypical involvement of the disease, infiltration patterns (ground-glass opacities, crazy-paving pattern, consolidation), distribution and the largest diameters of the lesions, total lesion numbers, number of affected lung lobes, and affected total lung parenchyma percentages. The variability of all these findings according to the groups was analyzed statistically. RESULTS In this study, 172 patients were in Group 1, 39 patients in Group 2, and 20 patients in Group 3. The findings obtained in this study indicated that there was no statistically significant difference in ground-glass opacity rates among the groups (p = 0.344). The rates of crazy-paving and consolidation patterns were significantly higher in Groups 2 and 3 than in Group 1 (p = 0.001, p = 0.002, respectively). The rate of right upper, left upper lobe, and right middle lobe involvements as consolidation pattern was significantly higher in Group 3 than in Group 1 (p = 0.148, p = 0.935, p = 0.143, respectively). A statistically significant difference was also found between the affected lobe numbers, total lesion numbers, the diameter of the largest lesion, and the affected lung parenchyma percentages between the groups (p = 0.001). The average number of impacted lobes in Group 1 was 2; 4 in Group 2 and Group 3. The mean percentage of affected lung parenchyma percentage was 25% in Group 1 and Group 2, and 50% in Group 3. CONCLUSION In case of infiltration dominated by right middle or upper lobe involvement with a consolidation pattern, there is a higher risk of future intensive care need. Also, the need for intensive care increases as the number of affected lobes and percentage of affected parenchymal involvement increase.

🔖

Cite This Article

TEKCAN, D. E., YILDIRIM, D., ŞANLI, A. N., EROZAN, N., HÜSMEN, G., ALTUNDAĞ, A., TÜZÜNER, F., DİKENSOY, Ö., KİRİŞOĞLU, C. E. (2021). Predictive value of CT imaging findings in COVID-19 pneumonia at the time of first-screen regarding the need for hospitalization or intensive care unit. Diagnostic and Interventional Radiology, Cilt: 27 - Sayı: 5, 599–606. https://ajindex.com/articles/391649

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Singhal T. A review of coronavirus disease-2019 (COVID-19). Indian J Pediatr 2020
  2. 281–286. [Crossref] 2. Fang Y, Zhang H, Xie J, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 2020
  3. E115–117. [Crossref] 3. Long C, Xu H, Shen Q, et al. Diagnosis of the coronavirus disease (COVID-19): rRT-PCR or CT? Eur J Radiol 2020
  4. 108961. [Crossref] 4. Wang YXJ, Liu W-H, Yang M, Chen W. The role of CT for Covid-19 patient’s management remains poorly defined. Ann Transl Med 2020
  5. [Crossref] 5. Jin YH, Cai L, Cheng ZS, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res 2020
  6. [Crossref] 6. Zhang W, Zhao Y, Zhang F, et al. The use of anti-inflammatory drugs in the treatment of people with severe coronavirus disease 2019 (COVID-19): The experience of clinical immunologists from China. Clin Immunol 2020
  7. 108393. [Crossref] 7. Bhatraju PK, Ghassemieh BJ, Nichols M, et al. COVID-19 in critically ill patients in the Seattle region — Case series. N Engl J Med 2020
  8. 2012–2022. [Crossref] 8. Bernheim A, Mei X, Huang M, et al. Chest CT Findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology 2020
  9. 200463. [Crossref] 9. Chung M, Bernheim A, Mei X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology 2020
  10. 202–207. [Crossref] 10. Guneyli S, Atceken Z, Dogan H, Altinmakas E, Atasoy KC. Radiological approach to COVID-19 pneumonia with an emphasis on chest CT. Diagn Interv Radiol 2020
  11. 323–332. [Crossref] 11. Ye Z, Zhang Y, Wang Y, Huang Z, Song B. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol 2020. Published online 19 Mar 2020. [Crossref] 12. Sun Z, Zhang N, Li Y, Xu X. A systematic review of chest imaging findings in COVID-19. Quant Imaging Med Surg 2020
  12. 1058–1079. [Crossref] 13. Liew JRP, Lim YRD, Liew JYC, Poh CCA. Clinics in diagnostic imaging: COVID-19 atypical pneumonia. Singapore Med J 2020
  13. 363–369. 14. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020
  14. 507–513. [Crossref] 15. Pan Y, Guan H, Zhou S, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol 20