A Patient-Specific Multiscale Model of Mechanical Ventilation of COVID-19-afflicted Lungs
Middleton, Shea Taran
This item will be available on: 2024-07-01
Coronavirus disease-2019 (COVID-19) is a respiratory disease that caused a worldwide pandemic and, in some cases, manifests as an acute respiratory distress syndrome. Severe cases of COVID-19 are often treated with mechanical ventilation, which has a high risk of causing ventilator-induced lung injury. However, COVID-19 is a relatively recent disease, and there is a lack of detailed understanding of its response to mechanical ventilation. This thesis aims to create a multiscale physics-based computational modeling framework for COVID-19-related acute respiratory distress syndrome (CARDS) to examine region-specific and overall lung dynamics for patients subject to mechanical ventilation. This goal is accomplished by developing patient-specific image-based models of free-breathing and mechanically ventilated patients using four-dimensional computed tomography (4DCT) imaging data from COVID-19 patients. Models presented in this thesis were designed to provide insight into airflow redistribution and volume and pressure differentials on a regional basis. One model was developed as a patient-specific proof-of-concept of realistic simulation of healthy and COVID-19 free-breathing mechanics. The free-breathing model was then modified to simulate pressure-control mechanical ventilation conditions and applied to four patients with advanced COVID-19. This in silico mechanical ventilation model reasonably predicted redistribution of ventilation from severely damaged lung lobes to the lobes less affected by COVID-19 damage, potentially revealing a risk factor of mechanical ventilation volutrauma due to COVID-19 damage heterogeneity. Each mechanical ventilation simulation was validated and showed reasonable agreement with existing image- or clinical data-based studies of COVID-19 and other lung pathologies. This study exhibits a foundation for future COVID-19 patient-specific multiscale lung modeling.
Middleton, Shea Taran. (July 2022). A Patient-Specific Multiscale Model of Mechanical Ventilation of COVID-19-afflicted Lungs (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/11121.)
Middleton, Shea Taran. A Patient-Specific Multiscale Model of Mechanical Ventilation of COVID-19-afflicted Lungs. Master's Thesis. East Carolina University, July 2022. The Scholarship. http://hdl.handle.net/10342/11121. September 30, 2023.
Middleton, Shea Taran, “A Patient-Specific Multiscale Model of Mechanical Ventilation of COVID-19-afflicted Lungs” (Master's Thesis., East Carolina University, July 2022).
Middleton, Shea Taran. A Patient-Specific Multiscale Model of Mechanical Ventilation of COVID-19-afflicted Lungs [Master's Thesis]. Greenville, NC: East Carolina University; July 2022.
East Carolina University