Dergiler / Clinical and Experimental Health Sciences / 2022 / Cilt: 12 - Sayı: 2

Quantitative Evaluation of Lung Parenchyma Changes after Treatment in COVID-19 Pneumonia with Volumetric Study in Computed Tomography

Sayfa
528–532
Yayın Tarihi
2022-06-30
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Conclusions Our study showed that there were emphysematous changes in lung parenchyma after COVID-19 pneumonia with CT, quantitatively and in our knowledge, this is the first study that evaluating lung changes quantitative after COVID-19 pneumonia. .

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Objective COVID-19 pandemic, causing approximately 3 million deaths over worldwide, still continues.
📊
Temel Bulgular & Veri:Effect of COVID-19 pneumonia after treatment on the lungs still not know.
💡
Sonuç & Katkı:Conclusions Our study showed that there were emphysematous changes in lung parenchyma after COVID-19 pneumonia with CT, quantitatively and in our knowledge, this is the first study that evaluating lung changes quantitative after COVID-19 pneumonia. .
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:COVID-19 · Emphysema · Pneumonia

Abstract

Objective COVID-19 pandemic, causing approximately 3 million deaths over worldwide, still continues. Effect of COVID-19 pneumonia after treatment on the lungs still not know. Although widely using computed tomography (CT) for diagnosing COVID-19 pneumonia, there is not enough study to determine damage of lung after treatment in COVID-19 pneumonia. In this study, our aim was to evaluate lung parenchyma changes in COVID-19 pneumonia after treatment with volumetric study, quantitatively. Methods 25 patients, who has CT at the time of diagnosis (CT1) and after 282 days (CT2), and positive polymerase chain reaction test, were included in this retrospective single center study. Total lung volüme (TLV) and emphysematous lung (ELV) volume of CT1 and CT2 were calculated automatically by using Myrian® XP-Lung and Percentage of emphysematous area (PEA) was calculated by dividing ELV by TLV. Differences between CT1 and CT2 in PEA and in TLV and ELV was determined by Wilcoxon and Paired sample t test, respectively. Results Although higher TLV was found in CT2 (4216,43 ± 1048,99 cm3) than CT1 (3943,22 ± 1177,16 cm3), there was no statistical significance difference (p=0.052) between CT1 and CT2. ELV was statistically (p=0.017) higher in CT2 (937,22 ± 486,89 cm3) than CT1 (716,26 ± 471,65 cm3). There was a strong indication that the medians were significantly different in PEA (p=0,009). Conclusions Our study showed that there were emphysematous changes in lung parenchyma after COVID-19 pneumonia with CT, quantitatively and in our knowledge, this is the first study that evaluating lung changes quantitative after COVID-19 pneumonia. .

🔖

Bu Makaleye Atıf Yap

ÖZKUL, B., URFALI, F. E., ASİL, K. (2022). Quantitative Evaluation of Lung Parenchyma Changes after Treatment in COVID-19 Pneumonia with Volumetric Study in Computed Tomography. Clinical and Experimental Health Sciences, Cilt: 12 - Sayı: 2, 528–532. https://ajindex.com/articles/481130

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. Zhou, S., Wang, Y., Zhu, T., & Xia, L. (2020). CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China. AJR. American journal of roentgenology, 214(6), 1287–1294
  2. Li, K., Fang, Y., Li, W., Pan, C., Qin, P., Zhong, Y., Liu, X., Huang, M., Liao, Y., & Li, S. (2020). CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). European radiology, 30(8), 4407–4416
  3. Application of Hayat Eve Sığar, (2021) Ministry of Health, Turkey
  4. Tercanlı Alkış H., Yeşiltepe S., Kurtuldu E. Examination of the Knowledge Levels, Attitudes and Anxiety Sources Regarding Coronavirus Disease-2019 Infection in Dentistry Students in Clinical Practice. Meandros Med Dent J 2021;22:69-76 5. Wang, K., Kang, S., Tian, R., Zhang, X., Zhang, X., & Wang, Y. (2020). Imaging manifestations and diagnostic value of chest CT of coronavirus disease 2019 (COVID-19) in the Xiaogan area. Clinical radiology, 75(5), 341–347
  5. Zhao, X., Liu, B., Yu, Y., Wang, X., Du, Y., Gu, J., & Wu, X. (2020). The characteristics and clinical value of chest CT images of novel coronavirus pneumonia. Clinical radiology, 75(5), 335–340
  6. Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W., Tao, Q., Sun, Z., & Xia, L. (2020). Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology, 296(2), E32–E40
  7. Fan, N., Fan, W., Li, Z., Shi, M., & Liang, Y. (2020). Imaging characteristics of initial chest computed tomography and clinical manifestations of patients with COVID-19 pneumonia. Japanese journal of radiology, 38(6), 533–538
  8. Zhao, W., Zhong, Z., Xie, X., Yu, Q., & Liu, J. (2020). Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. AJR. American journal of roentgenology, 214(5), 1072–1077
  9. Pan, F., Ye, T., Sun, P., Gui, S., Liang, B., Li, L., Zheng, D., Wang, J., Hesketh, R. L., Yang, L., & Zheng, C. (2020). Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology, 295(3), 715–721
  10. Iwasawa, T., Sato, M., Yamaya, T., Sato, Y., Uchida, Y., Kitamura, H., Hagiwara, E., Komatsu, S., Utsunomiya, D., & Ogura, T. (2020). Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia. Japanese journal of radiology, 38(5), 394–398
  11. Hruban, R. H., Meziane, M. A., Zerhouni, E. A.