Insights from 3D modeling and fluid dynamics in COVID-19 pneumonia

Gökcan M. K., Kurtuluş D. F., Aypak A., Köksal M., Ökten S. R.

Medical and Biological Engineering and Computing, cilt.62, sa.2, ss.621-636, 2024 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62 Sayı: 2
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s11517-023-02958-0
  • Dergi Adı: Medical and Biological Engineering and Computing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Business Source Elite, Business Source Premier, CINAHL, Compendex, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.621-636
  • Anahtar Kelimeler: Airway resistance/physiology, Computer simulation, COVID-19, Hydrodynamics, Respiratory system/diagnostic imaging
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

We address the lack of research regarding aerodynamic events behind respiratory distress at COVID-19. The use of chest CT enables quantification of pneumonia extent; however, there is a paucity of data regarding the impact of airflow changes. We reviewed 31 COVID-19 patients who were admitted in March 2020 with varying severity of pulmonary disease. Lung volumes were segmented and measured on CT images and patient-specific models of the lungs were created. Incompressible, laminar, and three-dimensional Navier-Stokes equations were used for the fluid dynamics (CFD) analyses of ten patients (five mild, five pneumonia). Of 31 patients, 17 were female, 18 had pneumonia, and 2 were deceased. Effective lung volume decreased in the general group, but the involvement of the right lung was prominent in dyspnea patients. CFD analyses revealed that the mass flow distribution was significantly distorted in pneumonia cases with diminished flow rate towards the right lung. In addition, the distribution of flow parameters showed mild group had less airway resistance with higher velocity (1.228 m/s vs 1.572 m/s) and higher static pressure values at airway branches (1.5112 Pa vs 1.3024 Pa). Therefore, we conclude that airway resistance and mass flow rate distribution are as important as the radiological involvement degree in defining the disease severity. Graphical Abstract: [Figure not available: see fulltext.]